APEX-1
Models complete expert-written work cases with source documents for four jobs: investment banking, consulting, big law and primary care. A judge model grades each response against rubrics.
The leaderboard uses a hidden set of 400 cases, 100 per job, with 8 samples per model. Mercor open-sourced 100 in-distribution cases.
- Made by
- Mercor
- Released
- September 2025
- Kind
- Tasks from real jobs
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Open-ended
- Tasks
- Public, plus a private test set
- Strongest model tested
-
Gemini 4 Carbon #2 on the capability index
- Last model added
- November 2026
- Scores refreshed
- November 13th, 2026
In the authors’ words
We present an extended version of the AI Productivity Index (APEX-v1-extended), a benchmark for assessing whether frontier models are capable of performing economically valuable tasks in four jobs: investment banking associate, management consultant, big law associate, and primary care physician (MD). This technical report details the extensions to APEX-v1, including an increase in the held-out evaluation set from n = 50 to n = 100 cases per job (n = 400 total) and updates to the grading methodology. We present a new leaderboard, where GPT5 (Thinking = High) remains the top performing model with a score of 67.0%. APEX-v1-extended shows that frontier models still have substantial limitations when performing typical professional tasks. To support further research, we are open sourcing n = 25 non-benchmark example cases per role (n = 100 total) along with our evaluation harness.
Gemini 4 Argon leads with 81.1%
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.
- 81.1
Gemini 4 Argon
- 80.0
Gemini 4 Carbon
- 76.9
Gemini 4 Hydrogen
- 75.6
Muse Spark 1.2
- 75.1 Muse Wonder 1.0
- 73.9
Muse Spark 1.3
- 73.9
Muse Spark Open
- 73.8
Muse Spark 1.1
- 73.8 Claude Fable 5.1
- 73.1 GPT-5.6 Sol
- 70.4
Muse Ember
- 69.5 GPT-5.6 Terra
- 69.3 GPT-6 Astra
- 69.3 GPT-6.1 Sol
- 69.3 Kimi K3.1 Pro
- 68.8
Gemini 3.8 Flash
- 68.6 Claude Opus 5
- 68.4 GPT-5.5
- 68.4 Kimi K3
- 68.3
DeepSeek V4.1 Flash 1017
- 67.7 Grok 4.6
- 67.0
Gemini 3.7 Flash
- 66.6 GPT-5.6 Luna
- 66.0 Claude Fable 5
- 66.0
Gemini 3.6 Flash
- 66.0
DeepSeek V4 Pro 0813
- 65.9 GPT-5.3 Codex
- 65.8 Claude Opus 4.6
- 65.8 Claude Opus 5.5
- 65.6 GPT-5.4
- 65.5
DeepSeek V4.1 Flash
- 65.4 Grok 4.7
- 65.3
Qwen 3.8 Max
- 65.0
MiniMax-M3.1-Flash
- 64.7 GPT-5.2
- 64.7 Claude Haiku 5.5
- 64.2 GPT-6.1 Terra
- 63.8
DeepSeek-V4-Flash
- 63.6 GPT-6 Sol
- 63.0 GLM-5.3
- 62.7 Claude Opus 4.8
- 62.6
Qwen 3.8 27B
- 62.2 Claude Opus 4.7
- 62.2
Gemini 3.5 Flash
- 62.0 GPT-6 Luna
- 61.8
Gemini 3.1 Pro
- 61.8 Grok 4.5
- 61.6
Inkling
- 61.5 GLM-5.2
- 60.9
Gemini 3 Pro
- 60.9
Gemini 3 Flash
- 60.6 Beam
- 60.5 o3
- 60.1 Kimi K2.7 Code
- 59.8
MiniMax-M3
- 59.7
DeepSeek-V4-Pro
- 59.6
Mistral Large 4
- 58.7 GLM-5.3-Flash
- 57.6
Nemotron 3.5 Super VL
- 57.5 Grok 4.1
- 57.3 Claude Opus 4.5
- 57.1 Grok 4
- 56.1
Nemotron 3 Ultra
- 55.1 Claude Sonnet 4.6
- 54.7
Gemini 3.5 Flash-Lite
- 53.9 Claude Sonnet 5.5
- 52.7 Nemotron 3.5 Bolt
- 52.4 Kimi K2
- 52.4 GLM-5.1
- 51.5
DeepSeek-V3.2
- 50.3 Qwen3.5
- 49.6 Claude Sonnet 5
- 48.1
Gemma 4 31B IT
- 46.4 gpt-oss-120b
- 45.8
MiniMax-M2.7
- 1
Gemini 4 Argon high 81.1%
- 2
Gemini 4 Carbon high 80%
- 3
Gemini 4 Hydrogen xhigh 76.9%
- 4
Muse Spark 1.2 xhigh 75.6%
- 5 Muse Wonder 1.0 max 75.1%
- 6
Muse Spark 1.3 xhigh 73.9%
- 7
Muse Spark Open xhigh 73.9%
- 8
Muse Spark 1.1 xhigh 73.8%
- 9 Claude Fable 5.1 max 73.8%
- 10 GPT-5.6 Sol max 73.1%
- 11
Muse Ember max 70.4%
- 12 GPT-5.6 Terra max 69.5%
- 13 GPT-6 Astra xhigh 69.3%
- 14 GPT-6.1 Sol max 69.3%
- 15 Kimi K3.1 Pro max 69.3%
- 16
Gemini 3.8 Flash high 68.8%
- 17 Claude Opus 5 xhigh 68.6%
- 18 GPT-5.5 xhigh 68.4%
- 19 Kimi K3 max 68.4%
- 20
DeepSeek V4.1 Flash 1017 max 68.3%
- 21 Grok 4.6 xhigh 67.7%
- 22
Gemini 3.7 Flash high 67%
- 23 GPT-5.6 Luna max 66.6%
- 24 Claude Fable 5 max 66%
- 25
Gemini 3.6 Flash high 66%
- 26
DeepSeek V4 Pro 0813 max 66%
- 27 GPT-5.3 Codex high 65.9%
- 28 Claude Opus 4.6 max 65.8%
- 29 Claude Opus 5.5 max 65.8%
- 30 GPT-5.4 xhigh 65.6%
- 31
DeepSeek V4.1 Flash max 65.5%
- 32 Grok 4.7 xhigh 65.4%
- 33
Qwen 3.8 Max xhigh 65.3%
- 34
MiniMax-M3.1-Flash max 65%
- 35 GPT-5.2 high 64.7%
- 36 Claude Haiku 5.5 max 64.7%
- 37 GPT-6.1 Terra max 64.2%
- 38
DeepSeek-V4-Flash max 63.8%
- 39 GPT-6 Sol max 63.6%
- 40 GLM-5.3 max 63%
- 41 Claude Opus 4.8 max 62.7%
- 42
Qwen 3.8 27B xhigh 62.6%
- 43 Claude Opus 4.7 max 62.2%
- 44
Gemini 3.5 Flash high 62.2%
- 45 GPT-6 Luna max 62%
- 46
Gemini 3.1 Pro high 61.8%
- 47 Grok 4.5 high 61.8%
- 48
Inkling high 61.6%
- 49 GLM-5.2 max 61.5%
- 50
Gemini 3 Pro high 60.9%
- 51
Gemini 3 Flash high 60.9%
- 52 Beam max 60.6%
- 53 o3 high 60.5%
- 54 Kimi K2.7 Code high 60.1%
- 55
MiniMax-M3 high 59.8%
- 56
DeepSeek-V4-Pro max 59.7%
- 57
Mistral Large 4 high 59.6%
- 58 GLM-5.3-Flash max 58.7%
- 59
Nemotron 3.5 Super VL high 57.6%
- 60 Grok 4.1 fast 57.5%
- 61 Claude Opus 4.5 high 57.3%
- 62 Grok 4 57.1%
- 63
Nemotron 3 Ultra high 56.1%
- 64 Claude Sonnet 4.6 high 55.1%
- 65
Gemini 3.5 Flash-Lite high 54.7%
- 66 Claude Sonnet 5.5 max 53.9%
- 67 Nemotron 3.5 Bolt high 52.7%
- 68 Kimi K2 Sep 2025, high 52.4%
- 69 GLM-5.1 52.4%
- 70
DeepSeek-V3.2 51.5%
- 71 Qwen3.5 50.3%
- 72 Claude Sonnet 5 max 49.6%
- 73
Gemma 4 31B IT 48.1%
- 74 gpt-oss-120b high 46.4%
- 75
MiniMax-M2.7 high 45.8%
Source: Official APEX-1 leaderboard
| # | Entry | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 81.1% | high, singleshot_agent | Sep 2026 | Official leaderboard |
| 2 | | 80% | high, singleshot_agent | Oct 2026 | Official leaderboard |
| 3 | | 76.9% | xhigh, singleshot_agent | Nov 2026 | Official leaderboard |
| 4 | | 75.6% | xhigh, singleshot_agent | Aug 2026 | Official leaderboard |
| 5 | Muse Wonder 1.0 | 75.1% | max, singleshot_agent | Official leaderboard | |
| 6 | | 73.9% | xhigh, singleshot_agent | Sep 2026 | Official leaderboard |
| 7 | | 73.9% | xhigh, singleshot_agent | Oct 2026 | Official leaderboard |
| 8 | | 73.8% | xhigh, singleshot_agent | Jul 2026 | Official leaderboard |
| 9 | Claude Fable 5.1 | 73.8% | max, singleshot_agent | Sep 2026 | Official leaderboard |
| 10 | GPT-5.6 Sol | 73.1% | max, singleshot_agent | Jul 2026 | Official leaderboard |
| 11 | | 70.4% | max, singleshot_agent | Nov 2026 | Official leaderboard |
| 12 | GPT-5.6 Terra | 69.5% | max, singleshot_agent | Jul 2026 | Official leaderboard |
| 13 | GPT-6 Astra | 69.3% | xhigh, singleshot_agent | Sep 2026 | Official leaderboard |
| 14 | GPT-6.1 Sol | 69.3% | max, singleshot_agent | Sep 2026 | Official leaderboard |
| 15 | Kimi K3.1 Pro | 69.3% | max, singleshot_agent | Oct 2026 | Official leaderboard |
| 16 | | 68.8% | high, singleshot_agent | Sep 2026 | Official leaderboard |
| 17 | Claude Opus 5 | 68.6% | xhigh, singleshot_agent | Jul 2026 | Official leaderboard |
| 18 | GPT-5.5 | 68.4% | xhigh, singleshot_agent | Apr 2026 | Official leaderboard |
| 19 | Kimi K3 | 68.4% | max, singleshot_agent | Jul 2026 | Official leaderboard |
| 20 | | 68.3% | max, singleshot_agent | Oct 2026 | Official leaderboard |
| 21 | Grok 4.6 | 67.7% | xhigh, singleshot_agent | Aug 2026 | Official leaderboard |
| 22 | | 67% | high, singleshot_agent | Aug 2026 | Official leaderboard |
| 23 | GPT-5.6 Luna | 66.6% | max, singleshot_agent | Jul 2026 | Official leaderboard |
| 24 | Claude Fable 5 | 66% | max, singleshot_agent | Jun 2026 | Official leaderboard |
| 25 | | 66% | high, singleshot_agent | Jul 2026 | Official leaderboard |
| 26 | | 66% | max, singleshot_agent | Aug 2026 | Official leaderboard |
| 27 | GPT-5.3 Codex | 65.9% | high, singleshot_agent | Feb 2026 | Official leaderboard |
| 28 | Claude Opus 4.6 | 65.8% | max, singleshot_agent | Feb 2026 | Official leaderboard |
| 29 | Claude Opus 5.5 | 65.8% | max, singleshot_agent | Sep 2026 | Official leaderboard |
| 30 | GPT-5.4 | 65.6% | xhigh, singleshot_agent | Mar 2026 | Official leaderboard |
| 31 | | 65.5% | max, singleshot_agent | Sep 2026 | Official leaderboard |
| 32 | Grok 4.7 | 65.4% | xhigh, singleshot_agent | Sep 2026 | Official leaderboard |
| 33 | | 65.3% | xhigh, singleshot_agent | Aug 2026 | Official leaderboard |
| 34 | | 65% | max, singleshot_agent | Oct 2026 | Official leaderboard |
| 35 | GPT-5.2 | 64.7% | high, singleshot_agent | Dec 2025 | Official leaderboard |
| 36 | Claude Haiku 5.5 | 64.7% | max, singleshot_agent | Oct 2026 | Official leaderboard |
| 37 | GPT-6.1 Terra | 64.2% | max, singleshot_agent | Oct 2026 | Official leaderboard |
| 38 | | 63.8% | max, singleshot_agent | Apr 2026 | Official leaderboard |
| 39 | GPT-6 Sol | 63.6% | max, singleshot_agent | Sep 2026 | Official leaderboard |
| 40 | GLM-5.3 | 63% | max, singleshot_agent | Aug 2026 | Official leaderboard |
| 41 | Claude Opus 4.8 | 62.7% | max, singleshot_agent | May 2026 | Official leaderboard |
| 42 | | 62.6% | xhigh, singleshot_agent | Aug 2026 | Official leaderboard |
| 43 | Claude Opus 4.7 | 62.2% | max, singleshot_agent | Apr 2026 | Official leaderboard |
| 44 | | 62.2% | high, singleshot_agent | May 2026 | Official leaderboard |
| 45 | GPT-6 Luna | 62% | max, singleshot_agent | Sep 2026 | Official leaderboard |
| 46 | | 61.8% | high, singleshot_agent | Feb 2026 | Official leaderboard |
| 47 | Grok 4.5 | 61.8% | high, singleshot_agent | Jul 2026 | Official leaderboard |
| 48 | | 61.6% | high, singleshot_agent | Jul 2026 | Official leaderboard |
| 49 | GLM-5.2 | 61.5% | max, singleshot_agent | Jun 2026 | Official leaderboard |
| 50 | | 60.9% | high, singleshot_agent | Nov 2025 | Official leaderboard |
| 51 | | 60.9% | high, singleshot_agent | Dec 2025 | Official leaderboard |
| 52 | Beam | 60.6% | max, singleshot_agent | Official leaderboard | |
| 53 | o3 | 60.5% | high, singleshot_agent | Apr 2025 | Official leaderboard |
| 54 | Kimi K2.7 Code | 60.1% | high, singleshot_agent | Jun 2026 | Official leaderboard |
| 55 | | 59.8% | high, singleshot_agent | Jun 2026 | Official leaderboard |
| 56 | | 59.7% | max, singleshot_agent | Apr 2026 | Official leaderboard |
| 57 | | 59.6% | high, singleshot_agent | Oct 2026 | Official leaderboard |
| 58 | GLM-5.3-Flash | 58.7% | max, singleshot_agent | Aug 2026 | Official leaderboard |
| 59 | | 57.6% | high, singleshot_agent | Oct 2026 | Official leaderboard |
| 60 | Grok 4.1 | 57.5% | fast, singleshot_agent | Nov 2025 | Official leaderboard |
| 61 | Claude Opus 4.5 | 57.3% | high, singleshot_agent | Nov 2025 | Official leaderboard |
| 62 | Grok 4 | 57.1% | singleshot_agent | Jul 2025 | Official leaderboard |
| 63 | | 56.1% | high, singleshot_agent | Jun 2026 | Official leaderboard |
| 64 | Claude Sonnet 4.6 | 55.1% | high, singleshot_agent | Feb 2026 | Official leaderboard |
| 65 | | 54.7% | high, singleshot_agent | Jul 2026 | Official leaderboard |
| 66 | Claude Sonnet 5.5 | 53.9% | max, singleshot_agent | Sep 2026 | Official leaderboard |
| 67 | Nemotron 3.5 Bolt | 52.7% | high, singleshot_agent | Official leaderboard | |
| 68 | Kimi K2 Sep 2025 | 52.4% | high, singleshot_agent | Sep 2025 | Official leaderboard |
| 69 | GLM-5.1 | 52.4% | singleshot_agent | Apr 2026 | Official leaderboard |
| 70 | | 51.5% | singleshot_agent | Dec 2025 | Official leaderboard |
| 71 | Qwen3.5 | 50.3% | singleshot_agent | Official leaderboard | |
| 72 | Claude Sonnet 5 | 49.6% | max, singleshot_agent | Jun 2026 | Official leaderboard |
| 73 | | 48.1% | singleshot_agent | Apr 2026 | Official leaderboard |
| 74 | gpt-oss-120b | 46.4% | high, singleshot_agent | Aug 2025 | Official leaderboard |
| 75 | | 45.8% | high, singleshot_agent | Mar 2026 | Official leaderboard |
Scores at each effort level
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-1 leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | high | singleshot_agent | 81.1% | ||
| | high | singleshot_agent | 80% | ||
| | xhigh | singleshot_agent | 76.9% | ||
| | xhigh | singleshot_agent | 75.6% | ||
| | xhigh | singleshot_agent | 73.9% | ||
| | xhigh | singleshot_agent | 73.9% | ||
| | xhigh | singleshot_agent | 73.8% | ||
| Claude Fable 5.1 | max | singleshot_agent | 73.8% | ||
| GPT-5.6 Sol | max | singleshot_agent | 73.1% | ||
| | max | singleshot_agent | 73% | ||
| | max | singleshot_agent | 70.4% | ||
| GPT-5.6 Terra | max | singleshot_agent | 69.5% | ||
| GPT-6 Astra | xhigh | singleshot_agent | 69.3% | ||
| GPT-6.1 Sol | max | singleshot_agent | 69.3% | ||
| Kimi K3.1 Pro | max | singleshot_agent | 69.3% | ||
| | high | singleshot_agent | 68.8% | ||
| Claude Opus 5 | xhigh | singleshot_agent | 68.6% | ||
| GPT-5.5 | xhigh | singleshot_agent | 68.4% | ||
| Kimi K3 | max | singleshot_agent | 68.4% | ||
| | max | singleshot_agent | 68.3% | ||
| Grok 4.6 | xhigh | singleshot_agent | 67.7% | ||
| | high | singleshot_agent | 67% | ||
| GPT-5.6 Luna | max | singleshot_agent | 66.6% | ||
| Claude Fable 5 | max | singleshot_agent | 66% | ||
| | high | singleshot_agent | 66% | ||
| | max | singleshot_agent | 66% | ||
| GPT-5.3 Codex | high | singleshot_agent | 65.9% | ||
| Claude Opus 4.6 | max | singleshot_agent | 65.8% | ||
| Claude Opus 5.5 | max | singleshot_agent | 65.8% | ||
| GPT-5.4 | xhigh | singleshot_agent | 65.6% | ||
| | max | singleshot_agent | 65.5% | ||
| Grok 4.7 | xhigh | singleshot_agent | 65.4% | ||
| Claude Opus 4.6 | high | singleshot_agent | 65.3% | ||
| | xhigh | singleshot_agent | 65.3% | ||
| | max | singleshot_agent | 65% | ||
| GPT-5.2 | high | singleshot_agent | 64.7% | ||
| Claude Haiku 5.5 | max | singleshot_agent | 64.7% | ||
| GPT-6.1 Terra | max | singleshot_agent | 64.2% | ||
| | max | singleshot_agent | 63.8% | ||
| GPT-6 Sol | max | singleshot_agent | 63.6% | ||
| GPT-5.4 | high | singleshot_agent | 63.2% | ||
| GLM-5.3 | max | singleshot_agent | 63% | ||
| Claude Opus 4.8 | max | singleshot_agent | 62.7% | ||
| | xhigh | singleshot_agent | 62.6% | ||
| Claude Opus 4.7 | max | singleshot_agent | 62.2% | ||
| | high | singleshot_agent | 62.2% | ||
| GPT-6 Luna | max | singleshot_agent | 62% | ||
| | high | singleshot_agent | 61.8% | ||
| Grok 4.5 | high | singleshot_agent | 61.8% | ||
| | high | singleshot_agent | 61.6% | ||
| GLM-5.2 | max | singleshot_agent | 61.5% | ||
| | high | singleshot_agent | 60.9% | ||
| | high | singleshot_agent | 60.9% | ||
| o3 | high | singleshot_agent | 60.5% | ||
| Kimi K2.7 Code | high | singleshot_agent | 60.1% | ||
| | high | singleshot_agent | 59.8% | ||
| | max | singleshot_agent | 59.7% | ||
| | high | singleshot_agent | 59.6% | ||
| GLM-5.3-Flash | max | singleshot_agent | 58.7% | ||
| | high | singleshot_agent | 57.6% | ||
| Grok 4.1 | fast | singleshot_agent | 57.5% | ||
| Claude Opus 4.5 | high | singleshot_agent | 57.3% | ||
| Grok 4 | singleshot_agent | 57.1% | |||
| | high | singleshot_agent | 56.1% | ||
| Claude Sonnet 4.6 | high | singleshot_agent | 55.1% | ||
| | high | singleshot_agent | 54.7% | ||
| Claude Sonnet 5.5 | max | singleshot_agent | 53.9% | ||
| Kimi K2 Sep 2025 | high | singleshot_agent | 52.4% | ||
| GLM-5.1 | singleshot_agent | 52.4% | |||
| | singleshot_agent | 51.5% | |||
| Claude Sonnet 5 | max | singleshot_agent | 49.6% | ||
| | singleshot_agent | 48.1% | |||
| gpt-oss-120b | high | singleshot_agent | 46.4% | ||
| | high | singleshot_agent | 45.8% |
8 models have held number one on the official leaderboard since its release in September 2025
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official APEX-1 leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official APEX-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.
More in Economic work
- JobBench In use 130 tasks from 35 occupations workers most want delegated. Agent works through messy reference files, graded by fact-anchored binary rubrics. GLM-5.3 61.4%
- GDPval In use Real work tasks from 44 occupations with reference files. Experts blindly compare model deliverables with expert work. Metric is win-or-tie rate.
Seed2.1 Pro 87.9%
- GDPval-AA v2.1 In use Agents with shell and web access complete 220 GDPval gold tasks from 44 occupations. Blind pairwise comparisons give Elo ratings. Claude Opus 5.5 1,846
- AA-Briefcase v1.1 In use Version 1.1 of Artificial Analysis's multi-hour office work evaluation, with Elo ratings fitted by Crowd-BT. Claude Opus 5.5 1,822
- CoWorkBench In use Agent completes long-horizon productivity tasks across computer science, finance, law and medicine. Qwen in-house scoring (method unpublished). Claude Fable 5 75.9%
- OfficeQA In use Grounded reasoning over a large corpus of U.S. Treasury Bulletin documents: locate tables and compute precise numeric answers. Claude Opus 4.7 86.3%