IFEval
Models answer about 500 prompts containing verifiable instructions such as word limits or required keywords. Code checks each instruction for strict and loose accuracy.
Frontier models now score near 90 percent, so it is close to saturation.
- Made by
- Released
- November 2023
- Kind
- Following precise instructions
- Level
- Everyday
- Scored
- Checked automatically
- Answers
- Open-ended
- Tasks
- All public
- Strongest model tested
-
Qwen3.7-Max #49 on the capability index
- Last in a launch post
- October 2026
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
In the authors’ words
One core capability of Large Language Models (LLMs) is to follow natural language instructions. However, the evaluation of such abilities is not standardized: Human evaluations are expensive, slow, and not objectively reproducible, while LLM-based auto-evaluation is potentially biased or limited by the ability of the evaluator LLM. To overcome these issues, we introduce Instruction-Following Eval (IFEval) for large language models. IFEval is a straightforward and easy-to-reproduce evaluation benchmark. It focuses on a set of "verifiable instructions" such as "write in more than 400 words" and "mention the keyword of AI at least 3 times". We identified 25 types of those verifiable instructions and constructed around 500 prompts, with each prompt containing one or more verifiable instructions. We show evaluation results of two widely available LLMs on the market. Our code and data can be found at https://github.com/google-research/google-research/tree/master/instruction_following_eval
Gemma 4 31B IT leads with 98.9%
Best score per model as labs report them in their own cards. Labs pick their own settings, so these compare less cleanly than independent runs.
Grok-3 mini leads with 95.1% across all independent runs
Best score per model across Stanford HELM’s leaderboard, Epoch AI’s own runs and any board Epoch AI copied. Each bar and row names its source.
Gemma 4 31B IT leads with 98.9%, claims included
Best score per model from every source, including labs’ own numbers and claims Epoch AI collected from reports and papers. Labs pick their own settings, so a claim can beat an independent run of the same model.
- 98.9
Gemma 4 31B IT
- 98.5
Gemma 4 26B A4B
- 97.4
DiffusionGemma 26B A4B
- 96.8 LFM2.5-24B-A2B
- 96.7
Gemma 4 E4B
- 96.7 LFM3-1.7B
- 95.0
Qwen3.5-27B
- 94.6
Qwen3.7-Plus
- 94.6
Gemma 4 E2B
- 94.3
Qwen 3.6 Plus
- 94.3
Qwen3.7-Max
- 93.8
Olmo 3.1 32B Think
- 93.6
Spark-X2.6-4B
- 93.4
Qwen3.5-122B-A10B
- 93.3
ERNIE 5.0
- 93.2 Claude 3.7 Sonnet
- 92.6
Qwen3.5 397B-A17B
- 92.4
K-EXAONE 2.0
- 92.2
Keye-VL-2.0-30B-A3B
- 92.1
Llama 3.3 70B Instruct
- 91.9
Qwen3.5-35B-A3B
- 91.8 LFM2.5-8B-A1B
- 91.5
Amazon Nova Premier
- 91.5
Qwen3.5-9B
- 90.9
Cohere Command A
- 90.4
Gemma 3 27B
- 90.3 nvidia-nemotron-nano-9b-v2
- 90.2 Claude 3.5 Sonnet (October 2024)
- 90.2
Gemma 3 4B
- 90.0
LongCat-2.0
- 89.8 Kimi K2
- 89.8
Qwen3.5-4B
- 89.7
K-EXAONE
- 89.7
Qwen3.5-Omni-Plus
- 89.7
TML-Interaction-Small
- 89.7
LongCat-Flash-Chat
- 89.7 Granite 4.1 30B
- 89.6
EXAONE 4.5 33B
- 89.5
Llama-3.1-Nemotron-Ultra-253B-v1
- 89.4
Mistral Medium 3
- 89.4
Falcon-H1-34B
- 89.2
Llama-3.3-Nemotron-Super-49B-v1
- 89.1
MiniMax-Text-01
- 89.1 Apple Foundation Model Server (2025)
- 89.0
Olmo 3 32B Think
- 88.9
Gemma 3 12B
- 88.9
Qwen3-Next-80B-A3B
- 88.6
Llama-3.3-Nemotron-Super-49B-v1.5
- 88.6
Llama 3.1-405B
- 88.6
Hunyuan-TurboS
- 88.4 LFM2.5-1.2B-Thinking
- 88.2
Qwen3-VL-235B-A22B
- 88.0
ERNIE-4.5-300B-A47B
- 88.0
Solar Open 100B
- 87.9
Nemotron 3 Nano 4B
- 87.8
Solar Pro 2
- 87.8
Qwen3-235B-A22B-Thinking
- 87.5 Granite 4.0 H Small
- 87.5
Llama 3.1-70B
- 87.4
Seed-Thinking-v1.5
- 87.4 GPT-4.1
- 87.2 Kimi k1.5
- 87.0 Sarvam-M
- 86.9
LongCat-Flash-Thinking
- 86.8
sonar
- 86.7
Intern-S1
- 86.5
Qwen3-30B-A3B
- 86.3
Qwen2.5-VL-72B
- 86.3 GLM-4.5-Air
- 86.2 LFM2.5-1.2B-Instruct
- 86.1
DeepSeek-V3
- 86.1 GLM-4.5
- 86.0
Tulu 3 405B
- 86.0
Baichuan-M2-32B
- 85.9 Claude 3.5 Haiku
- 85.8
seed-oss-36b-instruct
- 85.6
OLMo 2 32B Instruct
- 85.4
Qwen3-14B
- 85.2
Ring-1T
- 85.0
Qwen3-32B
- 85.0
Qwen3-8B
- 84.9
Phi-4-Reasoning-plus
- 84.8
EXAONE 4.0 32B
- 84.8 Sarvam 105B
- 84.7
Hunyuan-A13B-Instruct
- 84.5 GLM-Z1-32B-0414
- 84.3
Qwen2.5-14B-Instruct-1M
- 84.3
ERNIE-4.5-21B-A3B-Thinking
- 84.1
Qwen2.5-72B
- 84.1 GPT-4.1 mini
- 83.7
InternVL3.5-241B-A28B
- 83.4
Qwen3-235B-A22B
- 83.4
Phi-4-reasoning
- 83.3
DeepSeek-R1
- 82.9
Mistral Small 3
- 82.4
LongCat-Flash-Omni
- 82.3 LFM2.5-VL-3B
- 82.2
STEP3-VL-10B
- 81.9
Qwen3-4B
- 81.5 INTELLECT-2
- 81.5 Hermes 4 405B
- 81.0
Qwen2.5-14B
- 81.0
Qwen3-Omni-30B-A3B
- 80.4
Llama 3.1-8B
- 80.2
Gemma 3 1B
- 79.5
Qwen2.5-32B
- 79.3
InternLM3-8B-Instruct
- 78.6
Qwen3.5-2B
- 78.5
Aya Vision 32B
- 78.2
Nemotron Nano 12B v2 VL
- 77.9 Hermes 4.3 36B
- 77.6
Qwen2-72B
- 77.6 LFM2-8B-A1B
- 77.4 granite-4.0-1b
- 76.3
Qwen-Turbo
- 75.2
Apertus 70B
- 74.9
North Micro Vision Instruct
- 74.9 LFM2-1.2B
- 74.8 Granite 3.3 8B Instruct
- 74.5 GPT-4.1 nano
- 74.3 Granite 3.2 8B Instruct
- 72.5
Qwen3-1.7B
- 71.2
Qwen2.5-7B
- 70.1
Phi-4 Mini
- 70.1
OLMo 2 1B Instruct
- 67.7 GLM-4
- 67.0
AFM-4.5B
- 63.8
DeepSeek-V2 (MoE-236B, May 2024)
- 63.0
Phi-4
- 61.0 MiMo-7B-RL
- 57.6
Falcon-Arabic-7B
- 55.5
DeepSeek LLM 67B
- 53.5
BitNet b1.58 2B4T
- 51.2
Gemma 3 270M
- 44.0
Qwen3.5-0.8B
- 1
Gemma 4 31B IT 98.9%
- 2
Gemma 4 26B A4B 98.5%
- 3
DiffusionGemma 26B A4B 97.4%
- 4 LFM2.5-24B-A2B 96.8%
- 5
Gemma 4 E4B 96.7%
- 6 LFM3-1.7B 96.7%
- 7
Qwen3.5-27B 95%
- 8
Qwen3.7-Plus 94.6%
- 9
Gemma 4 E2B 94.6%
- 10
Qwen 3.6 Plus 94.3%
- 11
Qwen3.7-Max 94.3%
- 12
Olmo 3.1 32B Think 93.8%
- 13
Spark-X2.6-4B 93.6%
- 14
Qwen3.5-122B-A10B 93.4%
- 15
ERNIE 5.0 93.3%
- 16 Claude 3.7 Sonnet 93.2%
- 17
Qwen3.5 397B-A17B 92.6%
- 18
K-EXAONE 2.0 92.4%
- 19
Keye-VL-2.0-30B-A3B 92.2%
- 20
Llama 3.3 70B Instruct 92.1%
- 21
Qwen3.5-35B-A3B 91.9%
- 22 LFM2.5-8B-A1B 91.8%
- 23
Amazon Nova Premier 91.5%
- 24
Qwen3.5-9B 91.5%
- 25
Cohere Command A 90.9%
- 26
Gemma 3 27B 90.4%
- 27 nvidia-nemotron-nano-9b-v2 90.3%
- 28 Claude 3.5 Sonnet (October 2024) 90.2%
- 29
Gemma 3 4B 90.2%
- 30
LongCat-2.0 90%
- 31 Kimi K2 Jul 2025 89.8%
- 32
Qwen3.5-4B 89.8%
- 33
K-EXAONE 89.7%
- 34
Qwen3.5-Omni-Plus 89.7%
- 35
TML-Interaction-Small 89.7%
- 36
LongCat-Flash-Chat 89.7%
- 37 Granite 4.1 30B 89.7%
- 38
EXAONE 4.5 33B 89.6%
- 39
Llama-3.1-Nemotron-Ultra-253B-v1 89.5%
- 40
Mistral Medium 3 89.4%
- 41
Falcon-H1-34B 89.4%
- 42
Llama-3.3-Nemotron-Super-49B-v1 89.2%
- 43
MiniMax-Text-01 89.1%
- 44 Apple Foundation Model Server (2025) 89.1%
- 45
Olmo 3 32B Think 89%
- 46
Gemma 3 12B 88.9%
- 47
Qwen3-Next-80B-A3B 88.9%
- 48
Llama-3.3-Nemotron-Super-49B-v1.5 88.6%
- 49
Llama 3.1-405B 88.6%
- 50
Hunyuan-TurboS 88.6%
- 51 LFM2.5-1.2B-Thinking 88.4%
- 52
Qwen3-VL-235B-A22B 88.2%
- 53
ERNIE-4.5-300B-A47B 88%
- 54
Solar Open 100B 88%
- 55
Nemotron 3 Nano 4B 87.9%
- 56
Solar Pro 2 87.8%
- 57
Qwen3-235B-A22B-Thinking Jul 2025 87.8%
- 58 Granite 4.0 H Small 87.5%
- 59
Llama 3.1-70B 87.5%
- 60
Seed-Thinking-v1.5 87.4%
- 61 GPT-4.1 87.4%
- 62 Kimi k1.5 87.2%
- 63 Sarvam-M 87%
- 64
LongCat-Flash-Thinking 86.9%
- 65
sonar 86.8%
- 66
Intern-S1 86.7%
- 67
Qwen3-30B-A3B 86.5%
- 68
Qwen2.5-VL-72B 86.3%
- 69 GLM-4.5-Air 86.3%
- 70 LFM2.5-1.2B-Instruct 86.2%
- 71
DeepSeek-V3 86.1%
- 72 GLM-4.5 86.1%
- 73
Tulu 3 405B 86%
- 74
Baichuan-M2-32B 86%
- 75 Claude 3.5 Haiku 85.9%
- 76
seed-oss-36b-instruct 85.8%
- 77
OLMo 2 32B Instruct 85.6%
- 78
Qwen3-14B 85.4%
- 79
Ring-1T 85.2%
- 80
Qwen3-32B 85%
- 81
Qwen3-8B 85%
- 82
Phi-4-Reasoning-plus 84.9%
- 83
EXAONE 4.0 32B 84.8%
- 84 Sarvam 105B 84.8%
- 85
Hunyuan-A13B-Instruct 84.7%
- 86 GLM-Z1-32B-0414 84.5%
- 87
Qwen2.5-14B-Instruct-1M 84.3%
- 88
ERNIE-4.5-21B-A3B-Thinking 84.3%
- 89
Qwen2.5-72B 84.1%
- 90 GPT-4.1 mini 84.1%
- 91
InternVL3.5-241B-A28B 83.7%
- 92
Qwen3-235B-A22B 83.4%
- 93
Phi-4-reasoning 83.4%
- 94
DeepSeek-R1 83.3%
- 95
Mistral Small 3 82.9%
- 96
LongCat-Flash-Omni 82.4%
- 97 LFM2.5-VL-3B 82.3%
- 98
STEP3-VL-10B 82.2%
- 99
Qwen3-4B 81.9%
- 100 INTELLECT-2 81.5%
- 101 Hermes 4 405B 81.5%
- 102
Qwen2.5-14B 81%
- 103
Qwen3-Omni-30B-A3B 81%
- 104
Llama 3.1-8B 80.4%
- 105
Gemma 3 1B 80.2%
- 106
Qwen2.5-32B 79.5%
- 107
InternLM3-8B-Instruct 79.3%
- 108
Qwen3.5-2B 78.6%
- 109
Aya Vision 32B 78.5%
- 110
Nemotron Nano 12B v2 VL 78.2%
- 111 Hermes 4.3 36B 77.9%
- 112
Qwen2-72B 77.6%
- 113 LFM2-8B-A1B 77.6%
- 114 granite-4.0-1b 77.4%
- 115
Qwen-Turbo 76.3%
- 116
Apertus 70B 75.2%
- 117
North Micro Vision Instruct 74.9%
- 118 LFM2-1.2B 74.9%
- 119 Granite 3.3 8B Instruct 74.8%
- 120 GPT-4.1 nano 74.5%
- 121 Granite 3.2 8B Instruct 74.3%
- 122
Qwen3-1.7B 72.5%
- 123
Qwen2.5-7B 71.2%
- 124
Phi-4 Mini 70.1%
- 125
OLMo 2 1B Instruct 70.1%
- 126 GLM-4 67.7%
- 127
AFM-4.5B 67%
- 128
DeepSeek-V2 (MoE-236B, May 2024) 63.8%
- 129
Phi-4 63%
- 130 MiMo-7B-RL 61%
- 131
Falcon-Arabic-7B 57.6%
- 132
DeepSeek LLM 67B 55.5%
- 133
BitNet b1.58 2B4T 53.5%
- 134
Gemma 3 270M 51.2%
- 135
Qwen3.5-0.8B 44%
Source: Labs’ model cards
- 95.1 Grok-3 mini
- 94.9 Grok 4
- 93.5 GPT-5.1
- 93.2 GPT-5 nano
- 92.8 o4-mini
- 92.7 GPT-5 mini
- 91.8 Claude Opus 4
- 90.8
Llama 4 Maverick
- 90.4 GPT-4.1 mini
- 89.8
Gemini 2.5 Flash
- 89.0 Granite 4.0 H Small
- 88.4 Grok 3
- 87.7
Mistral Large 2
- 87.7
Gemini 3 Pro
- 87.5 GPT-5
- 87.3 Palmyra X4
- 86.9 o3
- 85.5 Claude 3.5 Sonnet (October 2024)
- 85.0 Kimi K2
- 85.0 Claude Sonnet 4.5
- 84.9 granite-4.0-micro
- 84.3 GPT-4.1 nano
- 84.1
Gemini 2.0 Flash
- 84.0 Claude Sonnet 4
- 84.0
Gemini 2.5 Pro
- 83.8 GPT-4.1
- 83.7
Gemini 1.5 Pro
- 83.6 gpt-oss-120b
- 83.5
Qwen3-235B-A22B-Instruct
- 83.4 Claude 3.7 Sonnet
- 83.2
DeepSeek-V3
- 83.1
Gemini 1.5 Flash
- 82.4
Gemini 2.0 Flash-Lite
- 82.3 Palmyra X5
- 82.1
Llama 3.1-70B
- 81.8
Llama 4 Scout
- 81.7 GPT-4o
- 81.6
Qwen3-235B-A22B
- 81.5
Amazon Nova Pro
- 81.2 GLM-4.5-Air
- 81.1
Llama 3.1-405B
- 81.0
Gemini 2.5 Flash-Lite
- 81.0
Qwen3-Next-80B-A3B
- 80.6
Qwen2.5-72B
- 80.3
Amazon Nova Premier
- 80.1 Claude Haiku 4.5
- 79.2 Claude 3.5 Haiku
- 78.4
DeepSeek-R1
- 78.2 GPT-4o mini
- 78.0
OLMo 2 32B Instruct
- 77.6
Amazon Nova Lite
- 76.0
Amazon Nova Micro
- 75.0
Mistral Small 3.1
- 74.3
Llama 3.1-8B
- 74.1
Qwen2.5-7B
- 73.2 gpt-oss-20b
- 72.9 Granite 3.3 8B Instruct
- 72.4
Mixtral 8x22B
- 57.5
Mixtral 8x7B
- 56.8
Mistral 7B v0.3
- 1 Grok-3 mini strict, share of instructions followed 95.1%
- 2 Grok 4 strict, share of instructions followed 94.9%
- 3 GPT-5.1 strict, share of instructions followed 93.5%
- 4 GPT-5 nano strict, share of instructions followed 93.2%
- 5 o4-mini strict, share of instructions followed 92.8%
- 6 GPT-5 mini strict, share of instructions followed 92.7%
- 7 Claude Opus 4 strict, share of instructions followed 91.8%
- 8
Llama 4 Maverick strict, share of instructions followed 90.8%
- 9 GPT-4.1 mini strict, share of instructions followed 90.4%
- 10
Gemini 2.5 Flash Sep 2025, strict, share of instructions followed 89.8%
- 11 Granite 4.0 H Small strict, share of instructions followed 89%
- 12 Grok 3 strict, share of instructions followed 88.4%
- 13
Mistral Large 2 Nov 2024, strict, share of instructions followed 87.7%
- 14
Gemini 3 Pro strict, share of instructions followed 87.7%
- 15 GPT-5 strict, share of instructions followed 87.5%
- 16 Palmyra X4 strict, share of instructions followed 87.3%
- 17 o3 strict, share of instructions followed 86.9%
- 18 Claude 3.5 Sonnet (October 2024) strict, share of instructions followed 85.5%
- 19 Kimi K2 Jul 2025, strict, share of instructions followed 85%
- 20 Claude Sonnet 4.5 strict, share of instructions followed 85%
- 21 granite-4.0-micro strict, share of instructions followed 84.9%
- 22 GPT-4.1 nano strict, share of instructions followed 84.3%
- 23
Gemini 2.0 Flash Feb 2025, strict, share of instructions followed 84.1%
- 24 Claude Sonnet 4 strict, share of instructions followed, thinking 10k 84%
- 25
Gemini 2.5 Pro Jun 2025, strict, share of instructions followed 84%
- 26 GPT-4.1 strict, share of instructions followed 83.8%
- 27
Gemini 1.5 Pro Sep 2024, strict, share of instructions followed 83.7%
- 28 gpt-oss-120b strict, share of instructions followed 83.6%
- 29
Qwen3-235B-A22B-Instruct Jul 2025, strict, share of instructions followed 83.5%
- 30 Claude 3.7 Sonnet strict, share of instructions followed 83.4%
- 31
DeepSeek-V3 Mar 2025, strict, share of instructions followed 83.2%
- 32
Gemini 1.5 Flash Sep 2024, strict, share of instructions followed 83.1%
- 33
Gemini 2.0 Flash-Lite strict, share of instructions followed 82.4%
- 34 Palmyra X5 strict, share of instructions followed 82.3%
- 35
Llama 3.1-70B strict, share of instructions followed 82.1%
- 36
Llama 4 Scout strict, share of instructions followed 81.8%
- 37 GPT-4o Nov 2024, strict, share of instructions followed 81.7%
- 38
Qwen3-235B-A22B strict, share of instructions followed 81.6%
- 39
Amazon Nova Pro strict, share of instructions followed 81.5%
- 40 GLM-4.5-Air strict, share of instructions followed 81.2%
- 41
Llama 3.1-405B strict, share of instructions followed 81.1%
- 42
Gemini 2.5 Flash-Lite Sep 2025, strict, share of instructions followed 81%
- 43
Qwen3-Next-80B-A3B strict, share of instructions followed 81%
- 44
Qwen2.5-72B strict, share of instructions followed 80.6%
- 45
Amazon Nova Premier strict, share of instructions followed 80.3%
- 46 Claude Haiku 4.5 strict, share of instructions followed 80.1%
- 47 Claude 3.5 Haiku strict, share of instructions followed 79.2%
- 48
DeepSeek-R1 May 2025, strict, share of instructions followed 78.4%
- 49 GPT-4o mini strict, share of instructions followed 78.2%
- 50
OLMo 2 32B Instruct strict, share of instructions followed 78%
- 51
Amazon Nova Lite strict, share of instructions followed 77.6%
- 52
Amazon Nova Micro strict, share of instructions followed 76%
- 53
Mistral Small 3.1 strict, share of instructions followed 75%
- 54
Llama 3.1-8B strict, share of instructions followed 74.3%
- 55
Qwen2.5-7B strict, share of instructions followed 74.1%
- 56 gpt-oss-20b strict, share of instructions followed 73.2%
- 57 Granite 3.3 8B Instruct strict, share of instructions followed 72.9%
- 58
Mixtral 8x22B strict, share of instructions followed 72.4%
- 59
Mixtral 8x7B strict, share of instructions followed 57.5%
- 60
Mistral 7B v0.3 strict, share of instructions followed 56.8%
Source: Stanford HELM’s leaderboard
- 98.9
Gemma 4 31B IT
- 98.5
Gemma 4 26B A4B
- 97.4
DiffusionGemma 26B A4B
- 96.8 LFM2.5-24B-A2B
- 96.7
Gemma 4 E4B
- 96.7 LFM3-1.7B
- 95.1 Grok-3 mini
- 95.0
Qwen3.5-27B
- 94.9 Grok 4
- 94.6
Qwen3.7-Plus
- 94.6
Gemma 4 E2B
- 94.3
Qwen 3.6 Plus
- 94.3
Qwen3.7-Max
- 93.8
Olmo 3.1 32B Think
- 93.6
Spark-X2.6-4B
- 93.5 GPT-5.1
- 93.4
Qwen3.5-122B-A10B
- 93.3
ERNIE 5.0
- 93.2 Claude 3.7 Sonnet
- 93.2 GPT-5 nano
- 92.8 o4-mini
- 92.7 GPT-5 mini
- 92.6
Qwen3.5 397B-A17B
- 92.4
K-EXAONE 2.0
- 92.2
Keye-VL-2.0-30B-A3B
- 92.1
Llama 3.3 70B Instruct
- 91.9
Qwen3.5-35B-A3B
- 91.8 LFM2.5-8B-A1B
- 91.8 Claude Opus 4
- 91.5
Amazon Nova Premier
- 91.5
Qwen3.5-9B
- 90.9
Cohere Command A
- 90.8
Llama 4 Maverick
- 90.4
Gemma 3 27B
- 90.4 GPT-4.1 mini
- 90.3 nvidia-nemotron-nano-9b-v2
- 90.2 Claude 3.5 Sonnet (October 2024)
- 90.2
Gemma 3 4B
- 90.0
LongCat-2.0
- 89.8 Kimi K2
- 89.8
Gemini 2.5 Flash
- 89.8
Qwen3.5-4B
- 89.7
K-EXAONE
- 89.7
Qwen3.5-Omni-Plus
- 89.7
TML-Interaction-Small
- 89.7
LongCat-Flash-Chat
- 89.7 Granite 4.1 30B
- 89.6
EXAONE 4.5 33B
- 89.5
Llama-3.1-Nemotron-Ultra-253B-v1
- 89.4
Mistral Medium 3
- 89.4
Falcon-H1-34B
- 89.2
Llama-3.3-Nemotron-Super-49B-v1
- 89.1
MiniMax-Text-01
- 89.1 Apple Foundation Model Server (2025)
- 89.0
Olmo 3 32B Think
- 89.0 Granite 4.0 H Small
- 88.9
Gemma 3 12B
- 88.9
Qwen3-Next-80B-A3B
- 88.6
Llama-3.3-Nemotron-Super-49B-v1.5
- 88.6
Llama 3.1-405B
- 88.6
Hunyuan-TurboS
- 88.4 Grok 3
- 88.4 LFM2.5-1.2B-Thinking
- 88.2
Qwen3-VL-235B-A22B
- 88.0
ERNIE-4.5-300B-A47B
- 88.0
Solar Open 100B
- 87.9
Nemotron 3 Nano 4B
- 87.8
Solar Pro 2
- 87.8
Qwen3-235B-A22B-Thinking
- 87.7
Mistral Large 2
- 87.7
Gemini 3 Pro
- 87.5
Llama 3.1-70B
- 87.5 GPT-5
- 87.4
Seed-Thinking-v1.5
- 87.4 GPT-4.1
- 87.3 Palmyra X4
- 87.2 Kimi k1.5
- 87.0 Sarvam-M
- 86.9
LongCat-Flash-Thinking
- 86.9 o3
- 86.8
sonar
- 86.7
Intern-S1
- 86.5
Qwen3-30B-A3B
- 86.3
Qwen2.5-VL-72B
- 86.3 GLM-4.5-Air
- 86.2 LFM2.5-1.2B-Instruct
- 86.1
DeepSeek-V3
- 86.1 GLM-4.5
- 86.0
Tulu 3 405B
- 86.0
Baichuan-M2-32B
- 85.9 Claude 3.5 Haiku
- 85.8
seed-oss-36b-instruct
- 85.6
OLMo 2 32B Instruct
- 85.4
Qwen3-14B
- 85.2
Ring-1T
- 85.0
Qwen3-32B
- 85.0
Qwen3-8B
- 85.0 Claude Sonnet 4.5
- 84.9
Phi-4-Reasoning-plus
- 84.9 granite-4.0-micro
- 84.8
EXAONE 4.0 32B
- 84.8 Sarvam 105B
- 84.7
Hunyuan-A13B-Instruct
- 84.5 GLM-Z1-32B-0414
- 84.3 GPT-4.1 nano
- 84.3
Qwen2.5-14B-Instruct-1M
- 84.3
ERNIE-4.5-21B-A3B-Thinking
- 84.1
Qwen2.5-72B
- 84.1
Gemini 2.0 Flash
- 84.0 Claude Sonnet 4
- 84.0
Gemini 2.5 Pro
- 83.7
InternVL3.5-241B-A28B
- 83.7
Gemini 1.5 Pro
- 83.6 gpt-oss-120b
- 83.5
Qwen3-235B-A22B-Instruct
- 83.4
Qwen3-235B-A22B
- 83.4
Phi-4-reasoning
- 83.3
DeepSeek-R1
- 83.2
DeepSeek-V3
- 83.1
Gemini 1.5 Flash
- 82.9
Mistral Small 3
- 82.4
Gemini 2.0 Flash-Lite
- 82.4
LongCat-Flash-Omni
- 82.3 LFM2.5-VL-3B
- 82.3 Palmyra X5
- 82.2
STEP3-VL-10B
- 81.9
Qwen3-4B
- 81.8
Llama 4 Scout
- 81.7 GPT-4o
- 81.5
Amazon Nova Pro
- 81.5 INTELLECT-2
- 81.5 Hermes 4 405B
- 81.0
Gemini 2.5 Flash-Lite
- 81.0
Qwen2.5-14B
- 81.0
Qwen3-Omni-30B-A3B
- 80.4
Llama 3.1-8B
- 80.2
Gemma 3 1B
- 80.1 Claude Haiku 4.5
- 79.5
Qwen2.5-32B
- 79.3
InternLM3-8B-Instruct
- 78.6
Qwen3.5-2B
- 78.5
Aya Vision 32B
- 78.4
DeepSeek-R1
- 78.2
Nemotron Nano 12B v2 VL
- 78.2 GPT-4o mini
- 77.9 Hermes 4.3 36B
- 77.6
Qwen2-72B
- 77.6
Amazon Nova Lite
- 77.6 LFM2-8B-A1B
- 77.4 granite-4.0-1b
- 76.3
Qwen-Turbo
- 76.0
Amazon Nova Micro
- 75.2
Apertus 70B
- 75.0
Mistral Small 3.1
- 74.9
North Micro Vision Instruct
- 74.9 LFM2-1.2B
- 74.8 Granite 3.3 8B Instruct
- 74.3 Granite 3.2 8B Instruct
- 74.1
Qwen2.5-7B
- 73.2 gpt-oss-20b
- 72.5
Qwen3-1.7B
- 72.4
Mixtral 8x22B
- 70.1
Phi-4 Mini
- 70.1
OLMo 2 1B Instruct
- 67.7 GLM-4
- 67.0
AFM-4.5B
- 63.8
DeepSeek-V2 (MoE-236B, May 2024)
- 63.0
Phi-4
- 61.0 MiMo-7B-RL
- 57.6
Falcon-Arabic-7B
- 57.5
Mixtral 8x7B
- 56.8
Mistral 7B v0.3
- 55.5
DeepSeek LLM 67B
- 53.5
BitNet b1.58 2B4T
- 51.2
Gemma 3 270M
- 44.0
Qwen3.5-0.8B
- 1
Gemma 4 31B IT 98.9%
- 2
Gemma 4 26B A4B 98.5%
- 3
DiffusionGemma 26B A4B 97.4%
- 4 LFM2.5-24B-A2B 96.8%
- 5
Gemma 4 E4B 96.7%
- 6 LFM3-1.7B 96.7%
- 7 Grok-3 mini strict, share of instructions followed 95.1%
- 8
Qwen3.5-27B 95%
- 9 Grok 4 strict, share of instructions followed 94.9%
- 10
Qwen3.7-Plus 94.6%
- 11
Gemma 4 E2B 94.6%
- 12
Qwen 3.6 Plus 94.3%
- 13
Qwen3.7-Max 94.3%
- 14
Olmo 3.1 32B Think 93.8%
- 15
Spark-X2.6-4B 93.6%
- 16 GPT-5.1 strict, share of instructions followed 93.5%
- 17
Qwen3.5-122B-A10B 93.4%
- 18
ERNIE 5.0 93.3%
- 19 Claude 3.7 Sonnet 93.2%
- 20 GPT-5 nano strict, share of instructions followed 93.2%
- 21 o4-mini strict, share of instructions followed 92.8%
- 22 GPT-5 mini strict, share of instructions followed 92.7%
- 23
Qwen3.5 397B-A17B 92.6%
- 24
K-EXAONE 2.0 92.4%
- 25
Keye-VL-2.0-30B-A3B 92.2%
- 26
Llama 3.3 70B Instruct 92.1%
- 27
Qwen3.5-35B-A3B 91.9%
- 28 LFM2.5-8B-A1B 91.8%
- 29 Claude Opus 4 strict, share of instructions followed 91.8%
- 30
Amazon Nova Premier 91.5%
- 31
Qwen3.5-9B 91.5%
- 32
Cohere Command A 90.9%
- 33
Llama 4 Maverick strict, share of instructions followed 90.8%
- 34
Gemma 3 27B 90.4%
- 35 GPT-4.1 mini strict, share of instructions followed 90.4%
- 36 nvidia-nemotron-nano-9b-v2 90.3%
- 37 Claude 3.5 Sonnet (October 2024) 90.2%
- 38
Gemma 3 4B 90.2%
- 39
LongCat-2.0 90%
- 40 Kimi K2 Jul 2025 89.8%
- 41
Gemini 2.5 Flash Sep 2025, strict, share of instructions followed 89.8%
- 42
Qwen3.5-4B 89.8%
- 43
K-EXAONE 89.7%
- 44
Qwen3.5-Omni-Plus 89.7%
- 45
TML-Interaction-Small 89.7%
- 46
LongCat-Flash-Chat 89.7%
- 47 Granite 4.1 30B 89.7%
- 48
EXAONE 4.5 33B 89.6%
- 49
Llama-3.1-Nemotron-Ultra-253B-v1 89.5%
- 50
Mistral Medium 3 89.4%
- 51
Falcon-H1-34B 89.4%
- 52
Llama-3.3-Nemotron-Super-49B-v1 89.2%
- 53
MiniMax-Text-01 89.1%
- 54 Apple Foundation Model Server (2025) 89.1%
- 55
Olmo 3 32B Think 89%
- 56 Granite 4.0 H Small strict, share of instructions followed 89%
- 57
Gemma 3 12B 88.9%
- 58
Qwen3-Next-80B-A3B 88.9%
- 59
Llama-3.3-Nemotron-Super-49B-v1.5 88.6%
- 60
Llama 3.1-405B 88.6%
- 61
Hunyuan-TurboS 88.6%
- 62 Grok 3 strict, share of instructions followed 88.4%
- 63 LFM2.5-1.2B-Thinking 88.4%
- 64
Qwen3-VL-235B-A22B 88.2%
- 65
ERNIE-4.5-300B-A47B 88%
- 66
Solar Open 100B 88%
- 67
Nemotron 3 Nano 4B 87.9%
- 68
Solar Pro 2 87.8%
- 69
Qwen3-235B-A22B-Thinking Jul 2025 87.8%
- 70
Mistral Large 2 Nov 2024, strict, share of instructions followed 87.7%
- 71
Gemini 3 Pro strict, share of instructions followed 87.7%
- 72
Llama 3.1-70B 87.5%
- 73 GPT-5 strict, share of instructions followed 87.5%
- 74
Seed-Thinking-v1.5 87.4%
- 75 GPT-4.1 87.4%
- 76 Palmyra X4 strict, share of instructions followed 87.3%
- 77 Kimi k1.5 87.2%
- 78 Sarvam-M 87%
- 79
LongCat-Flash-Thinking 86.9%
- 80 o3 strict, share of instructions followed 86.9%
- 81
sonar 86.8%
- 82
Intern-S1 86.7%
- 83
Qwen3-30B-A3B 86.5%
- 84
Qwen2.5-VL-72B 86.3%
- 85 GLM-4.5-Air 86.3%
- 86 LFM2.5-1.2B-Instruct 86.2%
- 87
DeepSeek-V3 86.1%
- 88 GLM-4.5 86.1%
- 89
Tulu 3 405B 86%
- 90
Baichuan-M2-32B 86%
- 91 Claude 3.5 Haiku 85.9%
- 92
seed-oss-36b-instruct 85.8%
- 93
OLMo 2 32B Instruct 85.6%
- 94
Qwen3-14B 85.4%
- 95
Ring-1T 85.2%
- 96
Qwen3-32B 85%
- 97
Qwen3-8B 85%
- 98 Claude Sonnet 4.5 strict, share of instructions followed 85%
- 99
Phi-4-Reasoning-plus 84.9%
- 100 granite-4.0-micro strict, share of instructions followed 84.9%
- 101
EXAONE 4.0 32B 84.8%
- 102 Sarvam 105B 84.8%
- 103
Hunyuan-A13B-Instruct 84.7%
- 104 GLM-Z1-32B-0414 84.5%
- 105 GPT-4.1 nano strict, share of instructions followed 84.3%
- 106
Qwen2.5-14B-Instruct-1M 84.3%
- 107
ERNIE-4.5-21B-A3B-Thinking 84.3%
- 108
Qwen2.5-72B 84.1%
- 109
Gemini 2.0 Flash Feb 2025, strict, share of instructions followed 84.1%
- 110 Claude Sonnet 4 strict, share of instructions followed, thinking 10k 84%
- 111
Gemini 2.5 Pro Jun 2025, strict, share of instructions followed 84%
- 112
InternVL3.5-241B-A28B 83.7%
- 113
Gemini 1.5 Pro Sep 2024, strict, share of instructions followed 83.7%
- 114 gpt-oss-120b strict, share of instructions followed 83.6%
- 115
Qwen3-235B-A22B-Instruct Jul 2025, strict, share of instructions followed 83.5%
- 116
Qwen3-235B-A22B 83.4%
- 117
Phi-4-reasoning 83.4%
- 118
DeepSeek-R1 83.3%
- 119
DeepSeek-V3 Mar 2025, strict, share of instructions followed 83.2%
- 120
Gemini 1.5 Flash Sep 2024, strict, share of instructions followed 83.1%
- 121
Mistral Small 3 82.9%
- 122
Gemini 2.0 Flash-Lite strict, share of instructions followed 82.4%
- 123
LongCat-Flash-Omni 82.4%
- 124 LFM2.5-VL-3B 82.3%
- 125 Palmyra X5 strict, share of instructions followed 82.3%
- 126
STEP3-VL-10B 82.2%
- 127
Qwen3-4B 81.9%
- 128
Llama 4 Scout strict, share of instructions followed 81.8%
- 129 GPT-4o Nov 2024, strict, share of instructions followed 81.7%
- 130
Amazon Nova Pro strict, share of instructions followed 81.5%
- 131 INTELLECT-2 81.5%
- 132 Hermes 4 405B 81.5%
- 133
Gemini 2.5 Flash-Lite Sep 2025, strict, share of instructions followed 81%
- 134
Qwen2.5-14B 81%
- 135
Qwen3-Omni-30B-A3B 81%
- 136
Llama 3.1-8B 80.4%
- 137
Gemma 3 1B 80.2%
- 138 Claude Haiku 4.5 strict, share of instructions followed 80.1%
- 139
Qwen2.5-32B 79.5%
- 140
InternLM3-8B-Instruct 79.3%
- 141
Qwen3.5-2B 78.6%
- 142
Aya Vision 32B 78.5%
- 143
DeepSeek-R1 May 2025, strict, share of instructions followed 78.4%
- 144
Nemotron Nano 12B v2 VL 78.2%
- 145 GPT-4o mini strict, share of instructions followed 78.2%
- 146 Hermes 4.3 36B 77.9%
- 147
Qwen2-72B 77.6%
- 148
Amazon Nova Lite strict, share of instructions followed 77.6%
- 149 LFM2-8B-A1B 77.6%
- 150 granite-4.0-1b 77.4%
- 151
Qwen-Turbo 76.3%
- 152
Amazon Nova Micro strict, share of instructions followed 76%
- 153
Apertus 70B 75.2%
- 154
Mistral Small 3.1 strict, share of instructions followed 75%
- 155
North Micro Vision Instruct 74.9%
- 156 LFM2-1.2B 74.9%
- 157 Granite 3.3 8B Instruct 74.8%
- 158 Granite 3.2 8B Instruct 74.3%
- 159
Qwen2.5-7B strict, share of instructions followed 74.1%
- 160 gpt-oss-20b strict, share of instructions followed 73.2%
- 161
Qwen3-1.7B 72.5%
- 162
Mixtral 8x22B strict, share of instructions followed 72.4%
- 163
Phi-4 Mini 70.1%
- 164
OLMo 2 1B Instruct 70.1%
- 165 GLM-4 67.7%
- 166
AFM-4.5B 67%
- 167
DeepSeek-V2 (MoE-236B, May 2024) 63.8%
- 168
Phi-4 63%
- 169 MiMo-7B-RL 61%
- 170
Falcon-Arabic-7B 57.6%
- 171
Mixtral 8x7B strict, share of instructions followed 57.5%
- 172
Mistral 7B v0.3 strict, share of instructions followed 56.8%
- 173
DeepSeek LLM 67B 55.5%
- 174
BitNet b1.58 2B4T 53.5%
- 175
Gemma 3 270M 51.2%
- 176
Qwen3.5-0.8B 44%
Sources: Labs’ model cards and Stanford HELM’s leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 98.9% | Jul 2026 | Lab model card | |
| 2 | | 98.5% | Jul 2026 | Lab model card | |
| 3 | | 97.4% | Jul 2026 | Lab model card | |
| 4 | LFM2.5-24B-A2B | 96.8% | Oct 2026 | Lab model card | |
| 5 | | 96.7% | Jul 2026 | Lab model card | |
| 6 | LFM3-1.7B | 96.7% | Oct 2026 | Lab model card | |
| 7 | | 95% | Feb 2026 | Lab model card | |
| 8 | | 94.6% | Jun 2026 | Lab model card | |
| 9 | | 94.6% | Jul 2026 | Lab model card | |
| 10 | | 94.3% | Apr 2026 | Lab model card | |
| 11 | | 94.3% | May 2026 | Lab model card | |
| 12 | | 93.8% | Dec 2025 | Lab model card | |
| 13 | | 93.6% | Oct 2026 | Lab model card | |
| 14 | | 93.4% | Feb 2026 | Lab model card | |
| 15 | | 93.3% | Feb 2026 | Lab model card | |
| 16 | Claude 3.7 Sonnet | 93.2% | Feb 2025 | Lab model card | |
| 17 | | 92.6% | Feb 2026 | Lab model card | |
| 18 | | 92.4% | Jul 2026 | Lab model card | |
| 19 | | 92.2% | May 2026 | Lab model card | |
| 20 | | 92.1% | Dec 2024 | Lab model card | |
| 21 | | 91.9% | Feb 2026 | Lab model card | |
| 22 | LFM2.5-8B-A1B | 91.8% | May 2026 | Lab model card | |
| 23 | | 91.5% | Apr 2025 | Lab model card | |
| 24 | | 91.5% | Mar 2026 | Lab model card | |
| 25 | | 90.9% | Apr 2025 | Lab model card | |
| 26 | | 90.4% | Mar 2025 | Lab model card | |
| 27 | nvidia-nemotron-nano-9b-v2 | 90.3% | Aug 2025 | Lab model card | |
| 28 | Claude 3.5 Sonnet (October 2024) | 90.2% | Oct 2024 | Lab model card | |
| 29 | | 90.2% | Mar 2025 | Lab model card | |
| 30 | | 90% | Jul 2026 | Lab model card | |
| 31 | Kimi K2 Jul 2025 | 89.8% | Jul 2025 | Lab model card | |
| 32 | | 89.8% | Mar 2026 | Lab model card | |
| 33 | | 89.7% | Dec 2025 | Lab model card | |
| 34 | | 89.7% | Mar 2026 | Lab model card | |
| 35 | | 89.7% | May 2026 | Lab model card | |
| 36 | | 89.7% | Aug 2025 | Lab model card | |
| 37 | Granite 4.1 30B | 89.7% | Apr 2026 | Lab model card | |
| 38 | | 89.6% | Apr 2026 | Lab model card | |
| 39 | | 89.5% | Apr 2025 | Lab model card | |
| 40 | | 89.4% | May 2025 | Lab model card | |
| 41 | | 89.4% | May 2025 | Lab model card | |
| 42 | | 89.2% | Mar 2025 | Lab model card | |
| 43 | | 89.1% | Jan 2025 | Lab model card | |
| 44 | Apple Foundation Model Server (2025) | 89.1% | Jul 2025 | Lab model card | |
| 45 | | 89% | Nov 2025 | Lab model card | |
| 46 | | 88.9% | Mar 2025 | Lab model card | |
| 47 | | 88.9% | Sep 2025 | Lab model card | |
| 48 | | 88.6% | Jul 2025 | Lab model card | |
| 49 | | 88.6% | Jul 2024 | Lab model card | |
| 50 | | 88.6% | Feb 2025 | Lab model card | |
| 51 | LFM2.5-1.2B-Thinking | 88.4% | Jan 2026 | Lab model card | |
| 52 | | 88.2% | Sep 2025 | Lab model card | |
| 53 | | 88% | Jun 2025 | Lab model card | |
| 54 | | 88% | Dec 2025 | Lab model card | |
| 55 | | 87.9% | Mar 2026 | Lab model card | |
| 56 | | 87.8% | Jul 2025 | Lab model card | |
| 57 | | 87.8% | Jul 2025 | Lab model card | |
| 58 | Granite 4.0 H Small | 87.5% | Oct 2025 | Lab model card | |
| 59 | | 87.5% | Jul 2024 | Lab model card | |
| 60 | | 87.4% | Apr 2025 | Lab model card | |
| 61 | GPT-4.1 | 87.4% | Apr 2025 | Lab model card | |
| 62 | Kimi k1.5 | 87.2% | Jan 2025 | Lab model card | |
| 63 | Sarvam-M | 87% | May 2025 | Lab model card | |
| 64 | | 86.9% | Sep 2025 | Lab model card | |
| 65 | | 86.8% | Feb 2025 | Lab model card | |
| 66 | | 86.7% | Jul 2025 | Lab model card | |
| 67 | | 86.5% | May 2025 | Lab model card | |
| 68 | | 86.3% | Feb 2025 | Lab model card | |
| 69 | GLM-4.5-Air | 86.3% | Aug 2025 | Lab model card | |
| 70 | LFM2.5-1.2B-Instruct | 86.2% | Jan 2026 | Lab model card | |
| 71 | | 86.1% | Dec 2024 | Lab model card | |
| 72 | GLM-4.5 | 86.1% | Aug 2025 | Lab model card | |
| 73 | | 86% | Jan 2025 | Lab model card | |
| 74 | | 86% | Sep 2025 | Lab model card | |
| 75 | Claude 3.5 Haiku | 85.9% | Oct 2024 | Lab model card | |
| 76 | | 85.8% | Aug 2025 | Lab model card | |
| 77 | | 85.6% | Mar 2025 | Lab model card | |
| 78 | | 85.4% | May 2025 | Lab model card | |
| 79 | | 85.2% | Oct 2025 | Lab model card | |
| 80 | | 85% | May 2025 | Lab model card | |
| 81 | | 85% | May 2025 | Lab model card | |
| 82 | | 84.9% | Apr 2025 | Lab model card | |
| 83 | | 84.8% | Jul 2025 | Lab model card | |
| 84 | Sarvam 105B | 84.8% | Mar 2026 | Lab model card | |
| 85 | | 84.7% | Jun 2025 | Lab model card | |
| 86 | GLM-Z1-32B-0414 | 84.5% | Apr 2025 | Lab model card | |
| 87 | | 84.3% | Jan 2025 | Lab model card | |
| 88 | | 84.3% | Sep 2025 | Lab model card | |
| 89 | | 84.1% | Sep 2024 | Lab model card | |
| 90 | GPT-4.1 mini | 84.1% | Apr 2025 | Lab model card | |
| 91 | | 83.7% | Aug 2025 | Lab model card | |
| 92 | | 83.4% | Apr 2025 | Lab model card | |
| 93 | | 83.4% | Apr 2025 | Lab model card | |
| 94 | | 83.3% | Jan 2025 | Lab model card | |
| 95 | | 82.9% | Jan 2025 | Lab model card | |
| 96 | | 82.4% | Oct 2025 | Lab model card | |
| 97 | LFM2.5-VL-3B | 82.3% | Aug 2026 | Lab model card | |
| 98 | | 82.2% | Jan 2026 | Lab model card | |
| 99 | | 81.9% | May 2025 | Lab model card | |
| 100 | INTELLECT-2 | 81.5% | May 2025 | Lab model card | |
| 101 | Hermes 4 405B | 81.5% | Aug 2025 | Lab model card | |
| 102 | | 81% | Dec 2024 | Lab model card | |
| 103 | | 81% | Sep 2025 | Lab model card | |
| 104 | | 80.4% | Jul 2024 | Lab model card | |
| 105 | | 80.2% | Mar 2025 | Lab model card | |
| 106 | | 79.5% | Dec 2024 | Lab model card | |
| 107 | | 79.3% | Jan 2025 | Lab model card | |
| 108 | | 78.6% | Mar 2026 | Lab model card | |
| 109 | | 78.5% | May 2025 | Lab model card | |
| 110 | | 78.2% | Nov 2025 | Lab model card | |
| 111 | Hermes 4.3 36B | 77.9% | Dec 2025 | Lab model card | |
| 112 | | 77.6% | Jun 2024 | Lab model card | |
| 113 | LFM2-8B-A1B | 77.6% | Oct 2025 | Lab model card | |
| 114 | granite-4.0-1b | 77.4% | Oct 2025 | Lab model card | |
| 115 | | 76.3% | Dec 2024 | Lab model card | |
| 116 | | 75.2% | Sep 2025 | Lab model card | |
| 117 | | 74.9% | Aug 2026 | Lab model card | |
| 118 | LFM2-1.2B | 74.9% | Jul 2025 | Lab model card | |
| 119 | Granite 3.3 8B Instruct | 74.8% | Apr 2025 | Lab model card | |
| 120 | GPT-4.1 nano | 74.5% | Apr 2025 | Lab model card | |
| 121 | Granite 3.2 8B Instruct | 74.3% | Feb 2025 | Lab model card | |
| 122 | | 72.5% | May 2025 | Lab model card | |
| 123 | | 71.2% | Dec 2024 | Lab model card | |
| 124 | | 70.1% | Mar 2025 | Lab model card | |
| 125 | | 70.1% | Apr 2025 | Lab model card | |
| 126 | GLM-4 | 67.7% | Jan 2024 | Lab model card | |
| 127 | | 67% | Jul 2025 | Lab model card | |
| 128 | | 63.8% | May 2024 | Lab model card | |
| 129 | | 63% | Dec 2024 | Lab model card | |
| 130 | MiMo-7B-RL | 61% | Apr 2025 | Lab model card | |
| 131 | | 57.6% | Nov 2025 | Lab model card | |
| 132 | | 55.5% | Jan 2024 | Lab model card | |
| 133 | | 53.5% | Apr 2025 | Lab model card | |
| 134 | | 51.2% | Aug 2025 | Lab model card | |
| 135 | | 44% | Mar 2026 | Lab model card |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Grok-3 mini | 95.1% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 2 | Grok 4 | 94.9% | strict, share of instructions followed | Jul 2025 | Official leaderboard |
| 3 | GPT-5.1 | 93.5% | strict, share of instructions followed | Nov 2025 | Official leaderboard |
| 4 | GPT-5 nano | 93.2% | strict, share of instructions followed | Aug 2025 | Official leaderboard |
| 5 | o4-mini | 92.8% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 6 | GPT-5 mini | 92.7% | strict, share of instructions followed | Aug 2025 | Official leaderboard |
| 7 | Claude Opus 4 | 91.8% | strict, share of instructions followed | May 2025 | Official leaderboard |
| 8 | | 90.8% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 9 | GPT-4.1 mini | 90.4% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 10 | | 89.8% | strict, share of instructions followed | Sep 2025 | Official leaderboard |
| 11 | Granite 4.0 H Small | 89% | strict, share of instructions followed | Oct 2025 | Official leaderboard |
| 12 | Grok 3 | 88.4% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 13 | | 87.7% | strict, share of instructions followed | Nov 2024 | Official leaderboard |
| 14 | | 87.7% | strict, share of instructions followed | Nov 2025 | Official leaderboard |
| 15 | GPT-5 | 87.5% | strict, share of instructions followed | Aug 2025 | Official leaderboard |
| 16 | Palmyra X4 | 87.3% | strict, share of instructions followed | Oct 2024 | Official leaderboard |
| 17 | o3 | 86.9% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 18 | Claude 3.5 Sonnet (October 2024) | 85.5% | strict, share of instructions followed | Oct 2024 | Official leaderboard |
| 19 | Kimi K2 Jul 2025 | 85% | strict, share of instructions followed | Jul 2025 | Official leaderboard |
| 20 | Claude Sonnet 4.5 | 85% | strict, share of instructions followed | Sep 2025 | Official leaderboard |
| 21 | granite-4.0-micro | 84.9% | strict, share of instructions followed | Oct 2025 | Official leaderboard |
| 22 | GPT-4.1 nano | 84.3% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 23 | | 84.1% | strict, share of instructions followed | Feb 2025 | Official leaderboard |
| 24 | Claude Sonnet 4 | 84% | strict, share of instructions followed, thinking 10k | May 2025 | Official leaderboard |
| 25 | | 84% | strict, share of instructions followed | Jun 2025 | Official leaderboard |
| 26 | GPT-4.1 | 83.8% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 27 | | 83.7% | strict, share of instructions followed | Sep 2024 | Official leaderboard |
| 28 | gpt-oss-120b | 83.6% | strict, share of instructions followed | Aug 2025 | Official leaderboard |
| 29 | | 83.5% | strict, share of instructions followed | Jul 2025 | Official leaderboard |
| 30 | Claude 3.7 Sonnet | 83.4% | strict, share of instructions followed | Feb 2025 | Official leaderboard |
| 31 | | 83.2% | strict, share of instructions followed | Mar 2025 | Official leaderboard |
| 32 | | 83.1% | strict, share of instructions followed | Aug 2024 | Official leaderboard |
| 33 | | 82.4% | strict, share of instructions followed | Feb 2025 | Official leaderboard |
| 34 | Palmyra X5 | 82.3% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 35 | | 82.1% | strict, share of instructions followed | Jul 2024 | Official leaderboard |
| 36 | | 81.8% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 37 | GPT-4o Nov 2024 | 81.7% | strict, share of instructions followed | Nov 2024 | Official leaderboard |
| 38 | | 81.6% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 39 | | 81.5% | strict, share of instructions followed | Dec 2024 | Official leaderboard |
| 40 | GLM-4.5-Air | 81.2% | strict, share of instructions followed | Jul 2025 | Official leaderboard |
| 41 | | 81.1% | strict, share of instructions followed | Jul 2024 | Official leaderboard |
| 42 | | 81% | strict, share of instructions followed | Sep 2025 | Official leaderboard |
| 43 | | 81% | strict, share of instructions followed | Sep 2025 | Official leaderboard |
| 44 | | 80.6% | strict, share of instructions followed | Sep 2024 | Official leaderboard |
| 45 | | 80.3% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 46 | Claude Haiku 4.5 | 80.1% | strict, share of instructions followed | Oct 2025 | Official leaderboard |
| 47 | Claude 3.5 Haiku | 79.2% | strict, share of instructions followed | Oct 2024 | Official leaderboard |
| 48 | | 78.4% | strict, share of instructions followed | May 2025 | Official leaderboard |
| 49 | GPT-4o mini | 78.2% | strict, share of instructions followed | Jul 2024 | Official leaderboard |
| 50 | | 78% | strict, share of instructions followed | Mar 2025 | Official leaderboard |
| 51 | | 77.6% | strict, share of instructions followed | Dec 2024 | Official leaderboard |
| 52 | | 76% | strict, share of instructions followed | Dec 2024 | Official leaderboard |
| 53 | | 75% | strict, share of instructions followed | Mar 2025 | Official leaderboard |
| 54 | | 74.3% | strict, share of instructions followed | Jul 2024 | Official leaderboard |
| 55 | | 74.1% | strict, share of instructions followed | Sep 2024 | Official leaderboard |
| 56 | gpt-oss-20b | 73.2% | strict, share of instructions followed | Aug 2025 | Official leaderboard |
| 57 | Granite 3.3 8B Instruct | 72.9% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 58 | | 72.4% | strict, share of instructions followed | Apr 2024 | Official leaderboard |
| 59 | | 57.5% | strict, share of instructions followed | Dec 2023 | Official leaderboard |
| 60 | | 56.8% | strict, share of instructions followed | Sep 2023 | Official leaderboard |
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 98.9% | Jul 2026 | Lab model card | |
| 2 | | 98.5% | Jul 2026 | Lab model card | |
| 3 | | 97.4% | Jul 2026 | Lab model card | |
| 4 | LFM2.5-24B-A2B | 96.8% | Oct 2026 | Lab model card | |
| 5 | | 96.7% | Jul 2026 | Lab model card | |
| 6 | LFM3-1.7B | 96.7% | Oct 2026 | Lab model card | |
| 7 | Grok-3 mini | 95.1% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 8 | | 95% | Feb 2026 | Lab model card | |
| 9 | Grok 4 | 94.9% | strict, share of instructions followed | Jul 2025 | Official leaderboard |
| 10 | | 94.6% | Jun 2026 | Lab model card | |
| 11 | | 94.6% | Jul 2026 | Lab model card | |
| 12 | | 94.3% | Apr 2026 | Lab model card | |
| 13 | | 94.3% | May 2026 | Lab model card | |
| 14 | | 93.8% | Dec 2025 | Lab model card | |
| 15 | | 93.6% | Oct 2026 | Lab model card | |
| 16 | GPT-5.1 | 93.5% | strict, share of instructions followed | Nov 2025 | Official leaderboard |
| 17 | | 93.4% | Feb 2026 | Lab model card | |
| 18 | | 93.3% | Feb 2026 | Lab model card | |
| 19 | Claude 3.7 Sonnet | 93.2% | Feb 2025 | Lab model card | |
| 20 | GPT-5 nano | 93.2% | strict, share of instructions followed | Aug 2025 | Official leaderboard |
| 21 | o4-mini | 92.8% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 22 | GPT-5 mini | 92.7% | strict, share of instructions followed | Aug 2025 | Official leaderboard |
| 23 | | 92.6% | Feb 2026 | Lab model card | |
| 24 | | 92.4% | Jul 2026 | Lab model card | |
| 25 | | 92.2% | May 2026 | Lab model card | |
| 26 | | 92.1% | Dec 2024 | Lab model card | |
| 27 | | 91.9% | Feb 2026 | Lab model card | |
| 28 | LFM2.5-8B-A1B | 91.8% | May 2026 | Lab model card | |
| 29 | Claude Opus 4 | 91.8% | strict, share of instructions followed | May 2025 | Official leaderboard |
| 30 | | 91.5% | Apr 2025 | Lab model card | |
| 31 | | 91.5% | Mar 2026 | Lab model card | |
| 32 | | 90.9% | Apr 2025 | Lab model card | |
| 33 | | 90.8% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 34 | | 90.4% | Mar 2025 | Lab model card | |
| 35 | GPT-4.1 mini | 90.4% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 36 | nvidia-nemotron-nano-9b-v2 | 90.3% | Aug 2025 | Lab model card | |
| 37 | Claude 3.5 Sonnet (October 2024) | 90.2% | Oct 2024 | Lab model card | |
| 38 | | 90.2% | Mar 2025 | Lab model card | |
| 39 | | 90% | Jul 2026 | Lab model card | |
| 40 | Kimi K2 Jul 2025 | 89.8% | Jul 2025 | Lab model card | |
| 41 | | 89.8% | strict, share of instructions followed | Sep 2025 | Official leaderboard |
| 42 | | 89.8% | Mar 2026 | Lab model card | |
| 43 | | 89.7% | Dec 2025 | Lab model card | |
| 44 | | 89.7% | Mar 2026 | Lab model card | |
| 45 | | 89.7% | May 2026 | Lab model card | |
| 46 | | 89.7% | Aug 2025 | Lab model card | |
| 47 | Granite 4.1 30B | 89.7% | Apr 2026 | Lab model card | |
| 48 | | 89.6% | Apr 2026 | Lab model card | |
| 49 | | 89.5% | Apr 2025 | Lab model card | |
| 50 | | 89.4% | May 2025 | Lab model card | |
| 51 | | 89.4% | May 2025 | Lab model card | |
| 52 | | 89.2% | Mar 2025 | Lab model card | |
| 53 | | 89.1% | Jan 2025 | Lab model card | |
| 54 | Apple Foundation Model Server (2025) | 89.1% | Jul 2025 | Lab model card | |
| 55 | | 89% | Nov 2025 | Lab model card | |
| 56 | Granite 4.0 H Small | 89% | strict, share of instructions followed | Oct 2025 | Official leaderboard |
| 57 | | 88.9% | Mar 2025 | Lab model card | |
| 58 | | 88.9% | Sep 2025 | Lab model card | |
| 59 | | 88.6% | Jul 2025 | Lab model card | |
| 60 | | 88.6% | Jul 2024 | Lab model card | |
| 61 | | 88.6% | Feb 2025 | Lab model card | |
| 62 | Grok 3 | 88.4% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 63 | LFM2.5-1.2B-Thinking | 88.4% | Jan 2026 | Lab model card | |
| 64 | | 88.2% | Sep 2025 | Lab model card | |
| 65 | | 88% | Jun 2025 | Lab model card | |
| 66 | | 88% | Dec 2025 | Lab model card | |
| 67 | | 87.9% | Mar 2026 | Lab model card | |
| 68 | | 87.8% | Jul 2025 | Lab model card | |
| 69 | | 87.8% | Jul 2025 | Lab model card | |
| 70 | | 87.7% | strict, share of instructions followed | Nov 2024 | Official leaderboard |
| 71 | | 87.7% | strict, share of instructions followed | Nov 2025 | Official leaderboard |
| 72 | | 87.5% | Jul 2024 | Lab model card | |
| 73 | GPT-5 | 87.5% | strict, share of instructions followed | Aug 2025 | Official leaderboard |
| 74 | | 87.4% | Apr 2025 | Lab model card | |
| 75 | GPT-4.1 | 87.4% | Apr 2025 | Lab model card | |
| 76 | Palmyra X4 | 87.3% | strict, share of instructions followed | Oct 2024 | Official leaderboard |
| 77 | Kimi k1.5 | 87.2% | Jan 2025 | Lab model card | |
| 78 | Sarvam-M | 87% | May 2025 | Lab model card | |
| 79 | | 86.9% | Sep 2025 | Lab model card | |
| 80 | o3 | 86.9% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 81 | | 86.8% | Feb 2025 | Lab model card | |
| 82 | | 86.7% | Jul 2025 | Lab model card | |
| 83 | | 86.5% | May 2025 | Lab model card | |
| 84 | | 86.3% | Feb 2025 | Lab model card | |
| 85 | GLM-4.5-Air | 86.3% | Aug 2025 | Lab model card | |
| 86 | LFM2.5-1.2B-Instruct | 86.2% | Jan 2026 | Lab model card | |
| 87 | | 86.1% | Dec 2024 | Lab model card | |
| 88 | GLM-4.5 | 86.1% | Aug 2025 | Lab model card | |
| 89 | | 86% | Jan 2025 | Lab model card | |
| 90 | | 86% | Sep 2025 | Lab model card | |
| 91 | Claude 3.5 Haiku | 85.9% | Oct 2024 | Lab model card | |
| 92 | | 85.8% | Aug 2025 | Lab model card | |
| 93 | | 85.6% | Mar 2025 | Lab model card | |
| 94 | | 85.4% | May 2025 | Lab model card | |
| 95 | | 85.2% | Oct 2025 | Lab model card | |
| 96 | | 85% | May 2025 | Lab model card | |
| 97 | | 85% | May 2025 | Lab model card | |
| 98 | Claude Sonnet 4.5 | 85% | strict, share of instructions followed | Sep 2025 | Official leaderboard |
| 99 | | 84.9% | Apr 2025 | Lab model card | |
| 100 | granite-4.0-micro | 84.9% | strict, share of instructions followed | Oct 2025 | Official leaderboard |
| 101 | | 84.8% | Jul 2025 | Lab model card | |
| 102 | Sarvam 105B | 84.8% | Mar 2026 | Lab model card | |
| 103 | | 84.7% | Jun 2025 | Lab model card | |
| 104 | GLM-Z1-32B-0414 | 84.5% | Apr 2025 | Lab model card | |
| 105 | GPT-4.1 nano | 84.3% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 106 | | 84.3% | Jan 2025 | Lab model card | |
| 107 | | 84.3% | Sep 2025 | Lab model card | |
| 108 | | 84.1% | Sep 2024 | Lab model card | |
| 109 | | 84.1% | strict, share of instructions followed | Feb 2025 | Official leaderboard |
| 110 | Claude Sonnet 4 | 84% | strict, share of instructions followed, thinking 10k | May 2025 | Official leaderboard |
| 111 | | 84% | strict, share of instructions followed | Jun 2025 | Official leaderboard |
| 112 | | 83.7% | Aug 2025 | Lab model card | |
| 113 | | 83.7% | strict, share of instructions followed | Sep 2024 | Official leaderboard |
| 114 | gpt-oss-120b | 83.6% | strict, share of instructions followed | Aug 2025 | Official leaderboard |
| 115 | | 83.5% | strict, share of instructions followed | Jul 2025 | Official leaderboard |
| 116 | | 83.4% | Apr 2025 | Lab model card | |
| 117 | | 83.4% | Apr 2025 | Lab model card | |
| 118 | | 83.3% | Jan 2025 | Lab model card | |
| 119 | | 83.2% | strict, share of instructions followed | Mar 2025 | Official leaderboard |
| 120 | | 83.1% | strict, share of instructions followed | Aug 2024 | Official leaderboard |
| 121 | | 82.9% | Jan 2025 | Lab model card | |
| 122 | | 82.4% | strict, share of instructions followed | Feb 2025 | Official leaderboard |
| 123 | | 82.4% | Oct 2025 | Lab model card | |
| 124 | LFM2.5-VL-3B | 82.3% | Aug 2026 | Lab model card | |
| 125 | Palmyra X5 | 82.3% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 126 | | 82.2% | Jan 2026 | Lab model card | |
| 127 | | 81.9% | May 2025 | Lab model card | |
| 128 | | 81.8% | strict, share of instructions followed | Apr 2025 | Official leaderboard |
| 129 | GPT-4o Nov 2024 | 81.7% | strict, share of instructions followed | Nov 2024 | Official leaderboard |
| 130 | | 81.5% | strict, share of instructions followed | Dec 2024 | Official leaderboard |
| 131 | INTELLECT-2 | 81.5% | May 2025 | Lab model card | |
| 132 | Hermes 4 405B | 81.5% | Aug 2025 | Lab model card | |
| 133 | | 81% | strict, share of instructions followed | Sep 2025 | Official leaderboard |
| 134 | | 81% | Dec 2024 | Lab model card | |
| 135 | | 81% | Sep 2025 | Lab model card | |
| 136 | | 80.4% | Jul 2024 | Lab model card | |
| 137 | | 80.2% | Mar 2025 | Lab model card | |
| 138 | Claude Haiku 4.5 | 80.1% | strict, share of instructions followed | Oct 2025 | Official leaderboard |
| 139 | | 79.5% | Dec 2024 | Lab model card | |
| 140 | | 79.3% | Jan 2025 | Lab model card | |
| 141 | | 78.6% | Mar 2026 | Lab model card | |
| 142 | | 78.5% | May 2025 | Lab model card | |
| 143 | | 78.4% | strict, share of instructions followed | May 2025 | Official leaderboard |
| 144 | | 78.2% | Nov 2025 | Lab model card | |
| 145 | GPT-4o mini | 78.2% | strict, share of instructions followed | Jul 2024 | Official leaderboard |
| 146 | Hermes 4.3 36B | 77.9% | Dec 2025 | Lab model card | |
| 147 | | 77.6% | Jun 2024 | Lab model card | |
| 148 | | 77.6% | strict, share of instructions followed | Dec 2024 | Official leaderboard |
| 149 | LFM2-8B-A1B | 77.6% | Oct 2025 | Lab model card | |
| 150 | granite-4.0-1b | 77.4% | Oct 2025 | Lab model card | |
| 151 | | 76.3% | Dec 2024 | Lab model card | |
| 152 | | 76% | strict, share of instructions followed | Dec 2024 | Official leaderboard |
| 153 | | 75.2% | Sep 2025 | Lab model card | |
| 154 | | 75% | strict, share of instructions followed | Mar 2025 | Official leaderboard |
| 155 | | 74.9% | Aug 2026 | Lab model card | |
| 156 | LFM2-1.2B | 74.9% | Jul 2025 | Lab model card | |
| 157 | Granite 3.3 8B Instruct | 74.8% | Apr 2025 | Lab model card | |
| 158 | Granite 3.2 8B Instruct | 74.3% | Feb 2025 | Lab model card | |
| 159 | | 74.1% | strict, share of instructions followed | Sep 2024 | Official leaderboard |
| 160 | gpt-oss-20b | 73.2% | strict, share of instructions followed | Aug 2025 | Official leaderboard |
| 161 | | 72.5% | May 2025 | Lab model card | |
| 162 | | 72.4% | strict, share of instructions followed | Apr 2024 | Official leaderboard |
| 163 | | 70.1% | Mar 2025 | Lab model card | |
| 164 | | 70.1% | Apr 2025 | Lab model card | |
| 165 | GLM-4 | 67.7% | Jan 2024 | Lab model card | |
| 166 | | 67% | Jul 2025 | Lab model card | |
| 167 | | 63.8% | May 2024 | Lab model card | |
| 168 | | 63% | Dec 2024 | Lab model card | |
| 169 | MiMo-7B-RL | 61% | Apr 2025 | Lab model card | |
| 170 | | 57.6% | Nov 2025 | Lab model card | |
| 171 | | 57.5% | strict, share of instructions followed | Dec 2023 | Official leaderboard |
| 172 | | 56.8% | strict, share of instructions followed | Sep 2023 | Official leaderboard |
| 173 | | 55.5% | Jan 2024 | Lab model card | |
| 174 | | 53.5% | Apr 2025 | Lab model card | |
| 175 | | 51.2% | Aug 2025 | Lab model card | |
| 176 | | 44% | Mar 2026 | Lab model card |
Stanford HELM’s leaderboard has 66 entries, 60 of them models we track. Switch the scores above to rank them together.
10 models have held number one in labs’ own numbers since its release in November 2023 11 models have held number one across all independent runs since its release in November 2023 12 models have held number one with claims included since its release in November 2023
Lab claims count from the day the card came out, independent runs from the model’s release. We draw one row each for Stanford HELM’s leaderboard and what labs claim in their cards.
Sources: Stanford HELM’s leaderboard and labs’ model cards
Meta’s own number for Llama 3.1-405B passed 85% in July 2024
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Sources: Stanford HELM’s leaderboard and labs’ model cards
6 labs put it in a launch post in the last six months
Launch posts from every lab that has listed it, one tick per post. Tall colored ticks include it, and short gray ones leave it out.
| Date | Launch post | Score | As the post writes it |
|---|---|---|---|
| Oct 27, 2026 | LFM3-1.7B | 96.7 | IFEval |
| Oct 22, 2026 | 93.6 | IFEval | |
| Oct 13, 2026 | LFM2.5-24B-A2B | 96.8 | IFEval |
| Aug 12, 2026 | LFM2.5-VL-3B | 82.3 | IFEval |
| Aug 12, 2026 | 74.9 | IFEval | |
| Jul 31, 2026 | 92.4 | IFEval | |
| Jul 5, 2026 | 90 | IFEval | |
| Jun 1, 2026 | 94.6 | IFEval | |
| May 28, 2026 | LFM2.5-8B-A1B | 91.8 | IFEval |
| May 25, 2026 | 92.2 | IFEval | |
| May 20, 2026 | 94.3 | IFEval | |
| May 11, 2026 | 89.7 | IFEval accuracy, text | |
| Apr 29, 2026 | Granite 4.1 30B | 89.7 | IFEval Avg |
| Apr 9, 2026 | 89.6 | IFEval | |
| Apr 2, 2026 | 94.3 | IFEvalstrict prompt | |
| Mar 30, 2026 | 89.7 | IFEval | |
| Mar 16, 2026 | 87.9 | IFEVAL-Prompt (reasoning on); Instruction 92 | |
| Mar 6, 2026 | Sarvam 105B | 84.8 | IF Eval |
| Mar 2, 2026 | 44 | IFEval (Thinking) | |
| Mar 2, 2026 | 78.6 | IFEval (Thinking) | |
| Mar 2, 2026 | 89.8 | IFEval | |
| Mar 2, 2026 | 91.5 | IFEval | |
| Feb 24, 2026 | 91.9 | IFEval | |
| Feb 24, 2026 | 95 | IFEval | |
| Feb 24, 2026 | 93.4 | IFEval | |
| Feb 16, 2026 | 92.6 | IFEval | |
| Feb 6, 2026 | 93.3 | IFEval | |
| Jan 20, 2026 | LFM2.5-1.2B-Thinking | 88.4 | IFEval (± 0.35) |
| Jan 5, 2026 | LFM2.5-1.2B-Instruct | 86.2 | IFEval |
| Dec 31, 2025 | 88 | IFEval | |
| Dec 31, 2025 | 89.7 | IFEval | |
| Dec 12, 2025 | 93.8 | IFEval | |
| Dec 3, 2025 | Hermes 4.3 36B | 77.9 | IFEval |
| Nov 20, 2025 | 89 | IFEval | |
| Oct 31, 2025 | 82.4 | IFEval(acc), text | |
| Oct 28, 2025 | granite-4.0-1b | 77.4 | IFEval Average |
| Oct 7, 2025 | LFM2-8B-A1B | 77.6 | IFEval |
| Oct 2, 2025 | Granite 4.0 H Small | 87.5 | IFEval Average |
| Sep 23, 2025 | 88.2 | IFEval | |
| Sep 22, 2025 | 81 | IFEval | |
| Sep 21, 2025 | 86.9 | IFEval(strict prompt) | |
| Sep 11, 2025 | 88.9 | IFEval | |
| Sep 9, 2025 | 84.3 | IFEval (Prompt Strict Accuracy) | |
| Aug 29, 2025 | 89.7 | IFEval(acc) | |
| Aug 26, 2025 | Hermes 4 405B | 81.5 | IFEval (Loose) (reasoning) |
| Aug 25, 2025 | 83.7 | IFEval | |
| Aug 20, 2025 | 85.8 | IFEval | |
| Aug 18, 2025 | 90.3 | IFEval (Instruction Strict) | |
| Aug 14, 2025 | 51.2 | IF Eval 0-shot (IT) | |
| Jul 29, 2025 | 67 | IFEval Inst Strict | |
| Jul 25, 2025 | 88.6 | IFEval (Strict:Instruction) | |
| Jul 25, 2025 | 87.8 | IFEval | |
| Jul 24, 2025 | 86.7 | IFEval | |
| Jul 15, 2025 | 84.8 | IFEval 84.8 non-reasoning (83.7 reasoning) | |
| Jul 11, 2025 | Kimi K2 | 89.8 | IFEval, Prompt Strict |
| Jul 10, 2025 | LFM2-1.2B | 74.9 | IFEval |
| Jul 10, 2025 | 87.8 | IFEval | |
| Jun 30, 2025 | 88 | IFEval | |
| Jun 27, 2025 | 84.7 | IF-Eval | |
| May 23, 2025 | Sarvam-M | 87 | IFEval (0.87) |
| May 20, 2025 | 89.4 | IFEval | |
| May 11, 2025 | INTELLECT-2 | 81.5 | IFEval |
| May 7, 2025 | 89.4 | IfEval 0-shot | |
| Apr 30, 2025 | 83.4 | IFEval Strict | |
| Apr 30, 2025 | 91.5 | IFEval | |
| Apr 30, 2025 | 84.9 | IFEval Strict | |
| Apr 29, 2025 | 70.1 | IFEval | |
| Apr 29, 2025 | MiMo-7B-RL | 61 | IF-Eval (Prompt Strict) |
| Apr 29, 2025 | 83.4 | IFEval strict prompt | |
| Apr 16, 2025 | Granite 3.3 8B Instruct | 74.8 | IFEval |
| Apr 15, 2025 | 53.5 | IFEval | |
| Apr 14, 2025 | GPT-4.1 nano | 74.5 | IFEval |
| Apr 14, 2025 | GPT-4.1 mini | 84.1 | IFEval |
| Apr 14, 2025 | GLM-Z1-32B-0414 | 84.5 | IFEval |
| Apr 14, 2025 | GPT-4.1 | 87.4 | IFEval |
| Apr 10, 2025 | 87.4 | IFEval | |
| Apr 7, 2025 | 89.5 | IFEval Strict:Instruction (reasoning on) | |
| Mar 18, 2025 | 89.2 | IFEval Strict:Instruction (reasoning off) | |
| Mar 13, 2025 | IFEval (chart only) | ||
| Mar 13, 2025 | 85.6 | IFEval | |
| Mar 12, 2025 | 90.4 | IFEval 0-shot (IT) | |
| Mar 6, 2025 | IFEval | ||
| Feb 27, 2025 | 88.6 | IF-Eval | |
| Feb 26, 2025 | Granite 3.2 8B Instruct | 74.3 | IFEval |
| Feb 24, 2025 | Claude 3.7 Sonnet | 93.2 | Instruction-following IFEval (64K extended thinking) |
| Feb 11, 2025 | 86.8 | IFEval | |
| Jan 30, 2025 | 86 | IFEval (prompt loose) | |
| Jan 30, 2025 | 82.9 | ifeval | |
| Jan 20, 2025 | Kimi k1.5 | 87.2 | IF-Eval (Prompt Strict), short-CoT |
| Jan 20, 2025 | 83.3 | IF-Eval (Prompt Strict) | |
| Jan 15, 2025 | 89.1 | IFEval (avg) | |
| Jan 13, 2025 | 79.3 | IFEval(Prompt-Strict) | |
| Dec 26, 2024 | 86.1 | IF-Eval (Prompt Strict) | |
| Dec 12, 2024 | 63 | IFEval | |
| Dec 6, 2024 | 92.1 | IFEval | |
| Oct 22, 2024 | Claude 3.5 Sonnet (October 2024) | 90.2 | IFEval |
| Sep 19, 2024 | 84.1 | IFeval strict-prompt | |
| Jul 23, 2024 | 88.6 | IFEval | |
| Jun 7, 2024 | 77.6 | IFEval (Prompt Strict-Acc.) | |
| Jan 16, 2024 | GLM-4 | 67.7 | IFEval Prompt级别、英文 (prompt-level, English) |
| Nov 29, 2023 | Instruction Following Evaluation (prompt-level loose) |
88 system cards report it, from 31 labs
Besides launch posts, we read the system cards, model cards and technical reports labs publish with a release. They report far more, including safety and frontier-risk tests.
| Date | Document | Score | As the document writes it | Section |
|---|---|---|---|---|
| Aug 5, 2026 | | 92.4 | IFEval (Table 6, Reasoning mode) | Capabilities |
| Jul 31, 2026 | | 97.4 | IFEval, TD, 94.5 no-think (Table 3) | Capabilities |
| Jul 24, 2026 | | 96.7 | IFEval, thinking (Table 5) | Capabilities |
| Jul 24, 2026 | | 94.6 | IFEval, thinking (Table 5) | Capabilities |
| Jul 24, 2026 | | 98.9 | IFEval, thinking (Table 5) | Capabilities |
| Jul 24, 2026 | | 98.5 | IFEval, thinking (Table 5) | Capabilities |
| Jun 9, 2026 | | 92.2 | IFEval (Figure 5, printed value) | Capabilities |
| Apr 17, 2026 | | 89.7 | IFEval (Table 4) | Capabilities |
| Apr 9, 2026 | | 89.6 | IFEval (Table 3, Reasoning mode) | Capabilities |
| Feb 4, 2026 | | 93.3 | IFEval (Table 2) | Capabilities |
| Jan 14, 2026 | | 82.2 | IFEval, SeRe (Table 2) | Capabilities |
| Jan 11, 2026 | | 88 | IFEval (Table 6) | Capabilities |
| Jan 5, 2026 | | 89.7 | IFEval, prompt-strict (Table 3, Reasoning mode). Non-reasoning 85.5 (Table 4) | Capabilities |
| Dec 15, 2025 | | 89 | IFEval, Final Think 3.0 column (Tables 14 and 24) | Capabilities |
| Dec 15, 2025 | | 93.8 | IFEval (Tables 1, 14 and 24) | Capabilities |
| Nov 28, 2025 | LFM2-8B-A1B technical report | 77.6 | IFEval, LFM2-8B-A1B (Table 7) | Capabilities |
| Nov 28, 2025 | LFM2-1.2B technical report | 74.9 | IFEval, LFM2-1.2B (Table 6) | Capabilities |
| Nov 26, 2025 | | 88.2 | IFEval (Table 6) | Capabilities |
| Nov 8, 2025 | | 57.6 | IFEval 0-shot, English (Table 8) | Capabilities |
| Nov 6, 2025 | | 78.2 | IFEval_prompt_strict, reasoning on, SFT stage 4 (Table 6). Instruction strict 84.7 | Capabilities |
| Oct 31, 2025 | | 82.4 | IFEval (acc) (Table 13) | Capabilities |
| Oct 21, 2025 | | 85.2 | IFEval (Table 1) | Capabilities |
| Oct 8, 2025 | | 70.1 | IFE, IFEval (Table 7, Table 23) | Capabilities |
| Sep 23, 2025 | | 86.9 | IFEval(strict prompt) (Table 2) | Capabilities |
| Sep 22, 2025 | | 81 | IFEval, Instruct (Table 4). Thinking 85.1 (Table 5) | Capabilities |
| Sep 17, 2025 | | 75.2 | IFEval, prompt-level loose (Table 19) | Capabilities |
| Sep 2, 2025 | | 86 | IFEval (Table 1) | Capabilities |
| Sep 1, 2025 | | 89.7 | IFEval (acc) (Table 3) | Capabilities |
| Aug 25, 2025 | | 83.7 | IFEval (Table 2) | Capabilities |
| Aug 25, 2025 | Hermes 4 405B technical report | 81.5 | IFEval (Loose), reasoning mode (Table 3). Non-reasoning 84.9 | Capabilities |
| Aug 21, 2025 | | 86.7 | IFEval (Table 2) | Capabilities |
| Aug 8, 2025 | GLM-4.5 technical report | 86.1 | IFEval (Prompt Strict) (Table 6) | Capabilities |
| Aug 8, 2025 | GLM-4.5-Air technical report | 86.3 | IFEval (Prompt Strict) (Table 6) | Capabilities |
| Jul 30, 2025 | | 89.4 | IFEval, instruction and prompt average accuracy (Table 24) | Capabilities |
| Jul 21, 2025 | Kimi K2 technical report | 89.8 | IFEval (Prompt Strict) (Table 3) | Capabilities |
| Jul 17, 2025 | Apple Foundation Model Server (2025) technical report | 89.1 | IFEval (instruct), AFM Server at 16 bits (Table 3). AFM Server Opt at 3.6 bits per weight 90.2 | Capabilities |
| Jul 15, 2025 | | 83.7 | IFEval (Table 3, Reasoning). Non-reasoning 84.8 (Table 4) | Capabilities |
| Jun 29, 2025 | | 88 | IFEval (Table 5) | Capabilities |
| Jun 26, 2025 | | 84.7 | IF-Eval, slow-thinking (Table 3). Fast-thinking 84.4 (Table 4) | Capabilities |
| May 14, 2025 | | 85 | IFEval strict prompt, thinking mode (Table 17). Non-thinking 83.0 (Table 18) | Capabilities |
| May 14, 2025 | | 81.9 | IFEval strict prompt, thinking mode (Table 17). Non-thinking 81.2 (Table 18) | Capabilities |
| May 14, 2025 | | 85 | IFEval strict prompt, thinking mode (Table 13). Non-thinking 83.2 (Table 14) | Capabilities |
| May 14, 2025 | | 86.5 | IFEval strict prompt, thinking mode (Table 15). Non-thinking 83.7 (Table 16) | Capabilities |
| May 14, 2025 | | 83.4 | IFEval strict prompt, thinking mode (Table 11). Non-thinking 83.2 (Table 12) | Capabilities |
| May 14, 2025 | | 85.4 | IFEval strict prompt, thinking mode (Table 15). Non-thinking 84.8 (Table 16) | Capabilities |
| May 14, 2025 | | 72.5 | IFEval strict prompt, thinking mode (Table 19). Non-thinking 68.2 (Table 20) | Capabilities |
| May 13, 2025 | | 78.5 | IFEval, English only (Table 5) | Capabilities |
| May 12, 2025 | MiMo-7B-RL technical report | 61 | IF-Eval (Prompt Strict), average of 8 runs (Table 4) | Capabilities |
| May 12, 2025 | INTELLECT-2 technical report | 81.5 | IFEval, evalchemy defaults, target length 10,000 tokens (Table 1) | Capabilities |
| May 2, 2025 | | 89.2 | IFEval (Strict-Instruction), reasoning on, reasoning off 89.0 (Table 4) | Capabilities |
| May 2, 2025 | | 88.9 | IFEval (Strict-Instruction), reasoning on, reasoning off 89.5 (Table 5) | Capabilities |
| Apr 30, 2025 | | 83.4 | IFEval Strict (Table 2) | Capabilities |
| Apr 30, 2025 | | 84.9 | IFEval Strict (Table 2) | Capabilities |
| Apr 30, 2025 | | 91.5 | IFEval, instruction-level loose accuracy, +/-2.4 (Table 1) | Capabilities |
| Apr 16, 2025 | | 53.5 | IFEval (0-shot; Instruct-Strict) (Table 1, Table 2) | Capabilities |
| Apr 10, 2025 | | 87.4 | IFEval (Table 2) | Capabilities |
| Apr 1, 2025 | | 90.9 | IFEval, mean of prompt-level and instruction-level strict accuracy (Table 3) | Capabilities |
| Mar 25, 2025 | | 90.2 | IFEval, IT, 0-shot (Table 18) | Capabilities |
| Mar 25, 2025 | | 90.4 | IFEval, IT, 0-shot (Table 18) | Capabilities |
| Mar 25, 2025 | | 80.2 | IFEval, IT, 0-shot (Table 18) | Capabilities |
| Mar 25, 2025 | | 88.9 | IFEval, IT, 0-shot (Table 18) | Capabilities |
| Mar 3, 2025 | | 70.1 | IFEval (0-shot) (Table 7) | Capabilities |
| Feb 19, 2025 | | 86.3 | IFEval (Table 4) | Capabilities |
| Jan 26, 2025 | | 84.3 | IFEval, strict prompt-level accuracy (Table 6) | Capabilities |
| Jan 20, 2025 | Kimi k1.5 technical report | 87.2 | IF-Eval (Prompt Strict), short-CoT (Table 3) | Capabilities |
| Jan 20, 2025 | | 83.3 | IF-Eval (Prompt Strict), DeepSeek-R1 (Table 8, same as final column of Table 3) | Capabilities |
| Jan 14, 2025 | | 89.1 | IFEval (avg) (Table 8) | Capabilities |
| Dec 31, 2024 | | 85.6 | IFEval, prompt loose (Tables 7 and 16) | Capabilities |
| Dec 26, 2024 | | 86.1 | IF-Eval (Prompt Strict), DeepSeek-V3 (Table 6) | Capabilities |
| Dec 19, 2024 | | 71.2 | IFEval, Qwen2.5-7B-Instruct (Table 8) | Capabilities |
| Dec 19, 2024 | | 84.1 | IFEval, Qwen2.5-72B-Instruct (Table 6) | Capabilities |
| Dec 19, 2024 | | 79.5 | IFEval, Qwen2.5-32B-Instruct (Table 7) | Capabilities |
| Dec 19, 2024 | | 81 | IFEval, Qwen2.5-14B-Instruct (Table 7) | Capabilities |
| Dec 19, 2024 | | 76.3 | IFEval, Qwen2.5-Turbo (Table 7) | Capabilities |
| Dec 12, 2024 | | 63 | IFEval (Table 1) | Capabilities |
| Dec 6, 2024 | | 92.1 | IFEval (Instruction tuned models table) | Capabilities |
| Nov 23, 2024 | | 80.4 | IFEval, post-trained (Table 2) | Capabilities |
| Nov 23, 2024 | | 87.5 | IFEval, post-trained (Table 2) | Capabilities |
| Nov 23, 2024 | | 88.6 | IFEval, post-trained (Table 2) | Capabilities |
| Nov 22, 2024 | | 86 | IFEval (loose prompt), RLVR (Table 4) | Capabilities |
| Oct 22, 2024 | Claude 3.5 Sonnet (October 2024) model card | 90.2 | IFEval (Table 7) | Capabilities |
| Oct 22, 2024 | Claude 3.5 Haiku model card | 85.9 | IFEval (Table 8) | Capabilities |
| Jul 23, 2024 | | 80.4 | IFEval, instruction tuned (Instruction tuned models table) | Capabilities |
| Jul 23, 2024 | | 87.5 | IFEval, instruction tuned (Instruction tuned models table) | Capabilities |
| Jul 23, 2024 | | 88.6 | IFEval, instruction tuned (Instruction tuned models table) | Capabilities |
| Jul 15, 2024 | | 77.6 | IFEval strict-prompt, Qwen2-72B-Instruct (Table 6) | Capabilities |
| May 7, 2024 | | 63.8 | IFEval 0-shot, DeepSeek-V2 Chat (RL) (Table 3) | Capabilities |
| Jan 5, 2024 | | 55.5 | IFEval prompt-level loose, held-out (Table 9) | Capabilities |
The lab's number comes out ahead in 15 of 19 pairs that differ
Each score a lab reported for its own model, beside the same model's best score on the leaderboard. Gaps mostly come from different harnesses, effort levels and task subsets. Every benchmark.
| Model | Lab says | Board says | Gap |
|---|---|---|---|
| | 91.5% IFEval | 80.3% Leaderboard, strict, share of instructions followed | +11 pts |
| GPT-4.1 nano | 74.5% IFEval | 84.3% Leaderboard, strict, share of instructions followed | −9.8 pts |
| Claude 3.7 Sonnet | 93.2% Instruction-following IFEval (64K extended thinking) | 83.4% Leaderboard, strict, share of instructions followed | +9.8 pts |
| | 88.9% IFEval | 81% Leaderboard, strict, share of instructions followed | +7.9 pts |
| | 85.6% IFEval | 78% Leaderboard, strict, share of instructions followed | +7.6 pts |
| | 88.6% IFEval | 81.1% Leaderboard, strict, share of instructions followed | +7.5 pts |
| Claude 3.5 Haiku | 85.9% IFEval (Table 8) | 79.2% Leaderboard, strict, share of instructions followed | +6.7 pts |
| GPT-4.1 mini | 84.1% IFEval | 90.4% Leaderboard, strict, share of instructions followed | −6.3 pts |
| | 80.4% IFEval, instruction tuned (Instruction tuned models table) | 74.3% Leaderboard, strict, share of instructions followed | +6.1 pts |
| | 87.5% IFEval, instruction tuned (Instruction tuned models table) | 82.1% Leaderboard, strict, share of instructions followed | +5.4 pts |
| GLM-4.5-Air | 86.3% IFEval (Prompt Strict) (Table 6) | 81.2% Leaderboard, strict, share of instructions followed | +5.1 pts |
| Kimi K2 Jul 2025 | 89.8% IFEval, Prompt Strict | 85% Leaderboard, strict, share of instructions followed | +4.8 pts |
| Claude 3.5 Sonnet (October 2024) | 90.2% IFEval | 85.5% Leaderboard, strict, share of instructions followed | +4.7 pts |
| GPT-4.1 | 87.4% IFEval | 83.8% Leaderboard, strict, share of instructions followed | +3.6 pts |
| | 84.1% IFeval strict-prompt | 80.6% Leaderboard, strict, share of instructions followed | +3.5 pts |
| | 71.2% IFEval, Qwen2.5-7B-Instruct (Table 8) | 74.1% Leaderboard, strict, share of instructions followed | −2.9 pts |
| Granite 3.3 8B Instruct | 74.8% IFEval | 72.9% Leaderboard, strict, share of instructions followed | +1.9 pts |
| | 83.4% IFEval strict prompt | 81.6% Leaderboard, strict, share of instructions followed | +1.8 pts |
| Granite 4.0 H Small | 87.5% IFEval Average | 89% Leaderboard, strict, share of instructions followed | −1.4 pts |
Versions
More in Instructions and chat
- IFBench In use 58 new out-of-domain verifiable output constraints. Scored by programmatic constraint checks (strict or loose).
Nemotron-Cascade 2 30B-A3B 82.9%
- MultiChallenge In use Multi-turn conversations testing instruction retention, inference memory, versioned editing and self-coherence. Graded by LLM judge with rubrics. GPT-6.1 Sol 82%
- Multi-IF In use Models follow verifiable instructions over three-turn conversations in eight languages, extending IFEval. Scored by instruction accuracy at each turn. LFM3-1.7B 89.1%
- AdvancedIF In use Models respond to over 1,600 prompts with complex, multi-turn, and system-level instructions. A judge model checks each response against expert-written rubrics.
MAI-Thinking-1 85%
- IFStruct In use Models generate JSON or YAML that must follow a requested schema and phrasing constraints, without constrained decoding. A response passes only if every structural constraint holds.
Gemma 4 31B IT 95.9%
- HANDBOOK.md In use Agents do routine company work with mock email, chat, calendar, issue and commerce tools while following a 20 to 124 page handbook. Programmatic criteria check required and forbidden actions, and a trial passes only if all pass. Claude Opus 5.5 52.3%