APEX-Agents 1.1
Agents do long banking, consulting and law tasks in worlds with docs, sheets, email and chat. A new judge scores hedged multiple answers as zero.
Mercor audited the tasks three times, changed the judge model and the system prompt to stop scattergunning. Rankings shifted against 1.0.
- Made by
- Mercor
- Released
- September 2026
- Kind
- Simulated companies
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Agent task
- Tasks
- All public
- Strongest model tested
- Claude Fable 5.2 #1 on the capability index
- Last model added
- November 2026
- Scores refreshed
- November 13th, 2026
In the authors’ words
We introduce the AI Productivity Index for Agents (APEX-Agents), a benchmark for assessing whether AI agents can execute long-horizon, cross-application tasks created by investment banking analysts, management consultants, and corporate lawyers. APEX-Agents requires agents to navigate realistic work environments with files and tools. We test eight agents for the leaderboard using Pass@1. Gemini 3 Flash (Thinking=High) achieves the highest score of 24.0%, followed by GPT-5.2 (Thinking=High), Claude Opus 4.5 (Thinking=High), and Gemini 3 Pro (Thinking=High). We open source the APEX-Agents benchmark (n=480) with all prompts, rubrics, gold outputs, files, and metadata. We also open source Archipelago, our infrastructure for agent execution and evaluation.
Gemini 4 Carbon leads with 90.4%
Best score per entry from the benchmark's own leaderboard, read on November 13th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart. Names in gray aren't in our model list: fine-tunes, agent systems, products and older models. They don't count toward leaders.
- 90.4
Gemini 4 Carbon
- 87.6 Claude Fable 5.2
- 87.4
Gemini 4 Argon
- 85.1
Tencent Hy4
- 84.0
Gemini 4 Hydrogen
- 83.7 Claude Sonnet 5.5
- 81.3 Claude Opus 5.5
- 79.4
Gemini 3.7 Flash
- 79.4
DeepSeek V4.1 Flash 1017
- 79.3 GPT-6.1 Terra
- 77.3 Grok 4.6
- 77.1 Claude Fable 5.1
- 77.0 Claude Opus 5
- 77.0
Muse Wonder
- 75.9 Kimi K3.1 Pro
- 75.7
Muse Ember
- 75.1 GPT-6 Astra
- 74.5 Claude Fable 5
- 74.3
Qwen 3.8 Max
- 73.2 GPT-6.1 Sol
- 72.9
Gemini 3.8 Flash
- 71.8 GPT-5.6 Terra
- 70.5 Grok 4.5
- 70.4 MiMo V2.6 Flash RL
- 70.4
Muse Spark 1.3
- 70.3 GPT-5.5
- 68.7 Grok 4.7
- 68.7 GPT-6 Sol
- 68.3 Claude Haiku 5.5
- 68.2 GPT-5.4
- 68.1
MiniMax-M3.1-Flash
- 67.5
DeepSeek-V4-Flash
- 67.4 Claude Sonnet 5
- 66.8 GLM-5.3-Flash
- 66.2 GLM-5.3
- 65.3 MiMo-V2.6 Pro
- 65.2 GPT-5.6 Sol
- 64.4 Claude Opus 4.8
- 64.3
Mistral Large 4
- 63.4
Gemini 3.6 Flash
- 63.1 Claude Opus 4.7
- 62.9 Mercury 3
- 62.5 Beam
- 62.3
DeepSeek V4 Pro 0813
- 62.2 Kimi K3
- 62.2
Qwen 3.8 27B
- 61.8 Claude Opus 4.6
- 61.1 GLM-5.2
- 60.9
Inkling 2 Small
- 59.8
Muse Spark 1.2
- 59.0 GPT-6 Luna
- 57.8 GPT-5.6 Luna
- 57.6 Claude Sonnet 4.6
- 56.8 GLM-5.1
- 53.5
MiniMax-M3
- 53.4 Kimi K2.7 Code
- 52.2
Gemini 3.1 Pro
- 50.5
DeepSeek V4.1 Flash
- 48.8
Inkling
- 48.7
Muse Spark Open
- 46.2
Muse Spark 1.1
- 46.1
Gemini 3.5 Flash-Lite
- 45.9
Nemotron 3.5 Super VL
- 44.3
Gemini 3.5 Flash
- 43.9 Nemotron 3.5 Bolt
- 40.3 Qwen3.5
- 38.3
Nemotron 3 Ultra
- 35.1
DeepSeek-V3.2
- 8.30 gpt-oss-120b
- 1
Gemini 4 Carbon high 90.4%
- 2 Claude Fable 5.2 max 87.6%
- 3
Gemini 4 Argon high 87.4%
- 4
Tencent Hy4 high 85.1%
- 5
Gemini 4 Hydrogen xhigh 84%
- 6 Claude Sonnet 5.5 max 83.7%
- 7 Claude Opus 5.5 max 81.3%
- 8
Gemini 3.7 Flash high 79.4%
- 9
DeepSeek V4.1 Flash 1017 max 79.4%
- 10 GPT-6.1 Terra max 79.3%
- 11 Grok 4.6 xhigh 77.3%
- 12 Claude Fable 5.1 max 77.1%
- 13 Claude Opus 5 max 77%
- 14
Muse Wonder max 77%
- 15 Kimi K3.1 Pro max 75.9%
- 16
Muse Ember max 75.7%
- 17 GPT-6 Astra max 75.1%
- 18 Claude Fable 5 max 74.5%
- 19
Qwen 3.8 Max xhigh 74.3%
- 20 GPT-6.1 Sol max 73.2%
- 21
Gemini 3.8 Flash high 72.9%
- 22 GPT-5.6 Terra max 71.8%
- 23 Grok 4.5 high 70.5%
- 24 MiMo V2.6 Flash RL auto 70.4%
- 25
Muse Spark 1.3 xhigh 70.4%
- 26 GPT-5.5 xhigh 70.3%
- 27 Grok 4.7 xhigh 68.7%
- 28 GPT-6 Sol max 68.7%
- 29 Claude Haiku 5.5 max 68.3%
- 30 GPT-5.4 xhigh 68.2%
- 31
MiniMax-M3.1-Flash max 68.1%
- 32
DeepSeek-V4-Flash max 67.5%
- 33 Claude Sonnet 5 max 67.4%
- 34 GLM-5.3-Flash max 66.8%
- 35 GLM-5.3 max 66.2%
- 36 MiMo-V2.6 Pro auto 65.3%
- 37 GPT-5.6 Sol max 65.2%
- 38 Claude Opus 4.8 max 64.4%
- 39
Mistral Large 4 high 64.3%
- 40
Gemini 3.6 Flash high 63.4%
- 41 Claude Opus 4.7 max 63.1%
- 42 Mercury 3 high 62.9%
- 43 Beam max 62.5%
- 44
DeepSeek V4 Pro 0813 max 62.3%
- 45 Kimi K3 max 62.2%
- 46
Qwen 3.8 27B xhigh 62.2%
- 47 Claude Opus 4.6 max 61.8%
- 48 GLM-5.2 max 61.1%
- 49
Inkling 2 Small 60.9%
- 50
Muse Spark 1.2 xhigh 59.8%
- 51 GPT-6 Luna max 59%
- 52 GPT-5.6 Luna max 57.8%
- 53 Claude Sonnet 4.6 high 57.6%
- 54 GLM-5.1 56.8%
- 55
MiniMax-M3 high 53.5%
- 56 Kimi K2.7 Code high 53.4%
- 57
Gemini 3.1 Pro high 52.2%
- 58
DeepSeek V4.1 Flash max 50.5%
- 59
Inkling high 48.8%
- 60
Muse Spark Open xhigh 48.7%
- 61
Muse Spark 1.1 xhigh 46.2%
- 62
Gemini 3.5 Flash-Lite high 46.1%
- 63
Nemotron 3.5 Super VL high 45.9%
- 64
Gemini 3.5 Flash high 44.3%
- 65 Nemotron 3.5 Bolt high 43.9%
- 66 Qwen3.5 40.3%
- 67
Nemotron 3 Ultra high 38.3%
- 68
DeepSeek-V3.2 35.1%
- 69 gpt-oss-120b high 8.30%
Source: Official APEX-Agents 1.1 leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 90.4% | high, Loop | Oct 2026 | Official leaderboard |
| 2 | Claude Fable 5.2 | 87.6% | max, Loop | Nov 2026 | Official leaderboard |
| 3 | | 87.4% | high, Loop | Sep 2026 | Official leaderboard |
| 4 | | 85.1% | high, Loop | Nov 2026 | Official leaderboard |
| 5 | | 84% | xhigh, Loop | Nov 2026 | Official leaderboard |
| 6 | Claude Sonnet 5.5 | 83.7% | max, Loop | Sep 2026 | Official leaderboard |
| 7 | Claude Opus 5.5 | 81.3% | max, Loop | Sep 2026 | Official leaderboard |
| 8 | | 79.4% | high, Loop | Aug 2026 | Official leaderboard |
| 9 | | 79.4% | max, Loop | Oct 2026 | Official leaderboard |
| 10 | GPT-6.1 Terra | 79.3% | max, Loop | Oct 2026 | Official leaderboard |
| 11 | Grok 4.6 | 77.3% | xhigh, Loop | Aug 2026 | Official leaderboard |
| 12 | Claude Fable 5.1 | 77.1% | max, Loop | Sep 2026 | Official leaderboard |
| 13 | Claude Opus 5 | 77% | max, Loop | Jul 2026 | Official leaderboard |
| 14 | | 77% | max, Loop | Oct 2026 | Official leaderboard |
| 15 | Kimi K3.1 Pro | 75.9% | max, Loop | Oct 2026 | Official leaderboard |
| 16 | | 75.7% | max, Loop | Nov 2026 | Official leaderboard |
| 17 | GPT-6 Astra | 75.1% | max, Loop | Sep 2026 | Official leaderboard |
| 18 | Claude Fable 5 | 74.5% | max, Loop | Jun 2026 | Official leaderboard |
| 19 | | 74.3% | xhigh, Loop | Aug 2026 | Official leaderboard |
| 20 | GPT-6.1 Sol | 73.2% | max, Loop | Sep 2026 | Official leaderboard |
| 21 | | 72.9% | high, Loop | Sep 2026 | Official leaderboard |
| 22 | GPT-5.6 Terra | 71.8% | max, Loop | Jul 2026 | Official leaderboard |
| 23 | Grok 4.5 | 70.5% | high, Loop | Jul 2026 | Official leaderboard |
| 24 | MiMo V2.6 Flash RL | 70.4% | auto, Loop | Official leaderboard | |
| 25 | | 70.4% | xhigh, Loop | Sep 2026 | Official leaderboard |
| 26 | GPT-5.5 | 70.3% | xhigh, Loop | Apr 2026 | Official leaderboard |
| 27 | Grok 4.7 | 68.7% | xhigh, Loop | Sep 2026 | Official leaderboard |
| 28 | GPT-6 Sol | 68.7% | max, Loop | Sep 2026 | Official leaderboard |
| 29 | Claude Haiku 5.5 | 68.3% | max, Loop | Oct 2026 | Official leaderboard |
| 30 | GPT-5.4 | 68.2% | xhigh, Loop | Mar 2026 | Official leaderboard |
| 31 | | 68.1% | max, Loop | Oct 2026 | Official leaderboard |
| 32 | | 67.5% | max, Loop | Apr 2026 | Official leaderboard |
| 33 | Claude Sonnet 5 | 67.4% | max, Loop | Jun 2026 | Official leaderboard |
| 34 | GLM-5.3-Flash | 66.8% | max, Loop | Aug 2026 | Official leaderboard |
| 35 | GLM-5.3 | 66.2% | max, Loop | Aug 2026 | Official leaderboard |
| 36 | MiMo-V2.6 Pro | 65.3% | auto, Loop | Sep 2026 | Official leaderboard |
| 37 | GPT-5.6 Sol | 65.2% | max, Loop | Jul 2026 | Official leaderboard |
| 38 | Claude Opus 4.8 | 64.4% | max, Loop | May 2026 | Official leaderboard |
| 39 | | 64.3% | high, Loop | Oct 2026 | Official leaderboard |
| 40 | | 63.4% | high, Loop | Jul 2026 | Official leaderboard |
| 41 | Claude Opus 4.7 | 63.1% | max, Loop | Apr 2026 | Official leaderboard |
| 42 | Mercury 3 | 62.9% | high, Loop | Oct 2026 | Official leaderboard |
| 43 | Beam | 62.5% | max, Loop | Official leaderboard | |
| 44 | | 62.3% | max, Loop | Aug 2026 | Official leaderboard |
| 45 | Kimi K3 | 62.2% | max, Loop | Jul 2026 | Official leaderboard |
| 46 | | 62.2% | xhigh, Loop | Aug 2026 | Official leaderboard |
| 47 | Claude Opus 4.6 | 61.8% | max, Loop | Feb 2026 | Official leaderboard |
| 48 | GLM-5.2 | 61.1% | max, Loop | Jun 2026 | Official leaderboard |
| 49 | | 60.9% | Loop | Nov 2026 | Official leaderboard |
| 50 | | 59.8% | xhigh, Loop | Aug 2026 | Official leaderboard |
| 51 | GPT-6 Luna | 59% | max, Loop | Sep 2026 | Official leaderboard |
| 52 | GPT-5.6 Luna | 57.8% | max, Loop | Jul 2026 | Official leaderboard |
| 53 | Claude Sonnet 4.6 | 57.6% | high, Loop | Feb 2026 | Official leaderboard |
| 54 | GLM-5.1 | 56.8% | Loop | Apr 2026 | Official leaderboard |
| 55 | | 53.5% | high, Loop | Jun 2026 | Official leaderboard |
| 56 | Kimi K2.7 Code | 53.4% | high, Loop | Jun 2026 | Official leaderboard |
| 57 | | 52.2% | high, Loop | Feb 2026 | Official leaderboard |
| 58 | | 50.5% | max, Loop | Sep 2026 | Official leaderboard |
| 59 | | 48.8% | high, Loop | Jul 2026 | Official leaderboard |
| 60 | | 48.7% | xhigh, Loop | Oct 2026 | Official leaderboard |
| 61 | | 46.2% | xhigh, Loop | Jul 2026 | Official leaderboard |
| 62 | | 46.1% | high, Loop | Jul 2026 | Official leaderboard |
| 63 | | 45.9% | high, Loop | Oct 2026 | Official leaderboard |
| 64 | | 44.3% | high, Loop | May 2026 | Official leaderboard |
| 65 | Nemotron 3.5 Bolt | 43.9% | high, Loop | Official leaderboard | |
| 66 | Qwen3.5 | 40.3% | Loop | Official leaderboard | |
| 67 | | 38.3% | high, Loop | Jun 2026 | Official leaderboard |
| 68 | | 35.1% | Loop | Dec 2025 | Official leaderboard |
| 69 | gpt-oss-120b | 8.30% | high, Loop | Aug 2025 | Official leaderboard |
More effort adds a median 16 points
Models the leaderboard ran at two or more effort levels. We don’t have enough cost data here to say what the extra effort costs.
Source: Official APEX-Agents 1.1 leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | high | Loop | 90.4% | ||
| Claude Fable 5.2 | max | Loop | 87.6% | ||
| | high | Loop | 87.4% | ||
| | high | Loop | 85.1% | ||
| | xhigh | Loop | 84% | ||
| Claude Sonnet 5.5 | max | Loop | 83.7% | ||
| Claude Opus 5.5 | max | Loop | 81.3% | ||
| | high | Loop | 79.4% | ||
| | max | Loop | 79.4% | ||
| GPT-6.1 Terra | max | Loop | 79.3% | ||
| Grok 4.6 | xhigh | Loop | 77.3% | ||
| Claude Fable 5.1 | max | Loop | 77.1% | ||
| Claude Opus 5 | max | Loop | 77% | ||
| | max | Loop | 77% | ||
| Kimi K3.1 Pro | max | Loop | 75.9% | ||
| | max | Loop | 75.7% | ||
| GPT-6 Astra | max | Loop | 75.1% | ||
| Claude Fable 5 | max | Loop | 74.5% | ||
| | xhigh | Loop | 74.3% | ||
| GPT-6.1 Sol | max | Loop | 73.2% | ||
| | high | Loop | 72.9% | ||
| GPT-5.6 Terra | max | Loop | 71.8% | ||
| Claude Fable 5.1 | high | Loop | 71.8% | ||
| Grok 4.5 | high | Loop | 70.5% | ||
| | xhigh | Loop | 70.4% | ||
| GPT-5.5 | xhigh | Loop | 70.3% | ||
| Grok 4.7 | xhigh | Loop | 68.7% | ||
| GPT-6 Sol | max | Loop | 68.7% | ||
| Claude Haiku 5.5 | max | Loop | 68.3% | ||
| GPT-5.4 | xhigh | Loop | 68.2% | ||
| | max | Loop | 68.1% | ||
| | max | Loop | 67.5% | ||
| Claude Sonnet 5 | max | Loop | 67.4% | ||
| GLM-5.3-Flash | max | Loop | 66.8% | ||
| GLM-5.3 | max | Loop | 66.2% | ||
| Claude Opus 5.5 | medium | Loop | 65.7% | ||
| MiMo-V2.6 Pro | auto | Loop | 65.3% | ||
| GPT-5.6 Sol | max | Loop | 65.2% | ||
| Claude Opus 4.8 | max | Loop | 64.4% | ||
| | high | Loop | 64.3% | ||
| | high | Loop | 63.4% | ||
| Claude Opus 4.7 | max | Loop | 63.1% | ||
| Mercury 3 | high | Loop | 62.9% | ||
| | max | Loop | 62.3% | ||
| Kimi K3 | max | Loop | 62.2% | ||
| | xhigh | Loop | 62.2% | ||
| Claude Opus 4.6 | max | Loop | 61.8% | ||
| | max | Loop | 61.3% | ||
| GLM-5.2 | max | Loop | 61.1% | ||
| | Loop | 60.9% | |||
| | xhigh | Loop | 59.8% | ||
| Claude Sonnet 5.5 | medium | Loop | 59.4% | ||
| GPT-6 Luna | max | Loop | 59% | ||
| GPT-5.6 Luna | max | Loop | 57.8% | ||
| Claude Sonnet 4.6 | high | Loop | 57.6% | ||
| GLM-5.1 | Loop | 56.8% | |||
| | high | Loop | 53.5% | ||
| Kimi K2.7 Code | high | Loop | 53.4% | ||
| | high | Loop | 52.2% | ||
| | max | Loop | 50.5% | ||
| | high | Loop | 48.8% | ||
| | xhigh | Loop | 48.7% | ||
| | xhigh | Loop | 46.2% | ||
| | high | Loop | 46.1% | ||
| | high | Loop | 45.9% | ||
| | high | Loop | 44.3% | ||
| | high | Loop | 38.3% | ||
| | Loop | 35.1% | |||
| gpt-oss-120b | high | Loop | 8.30% |
5 models have held number one on the official leaderboard since its release in September 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official APEX-Agents 1.1 leaderboard
Gemini 4 Argon on the official leaderboard passed 85% in September 2026
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official APEX-Agents 1.1 leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
Versions
We switch the top row to each new version when it comes out. Open it for one row per version. An old version stays in play while people still test it, so whoever first takes it past 85% gets credit for closing it out.
Sources: Official leaderboards and labs’ model cards
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