Harvey LAB v1.1 (HLAB-Vals-1.1)
Agents produce legal work product from matter files with file tools and docx, pptx and xlsx skills. A task passes only if every expert rubric criterion passes.
Harvey fixed the 120-task private holdout, removing 17 unsolvable criteria. The harness was resynced with a finish tool and a reasoning-first judge. Vals says scores are not comparable with the v1 board.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Open-ended Free-form text, documents, designs or media judged as a whole.
Gemini 4 Argon leads with 27.1%
Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
- 27.1
Gemini 4 Argon
- 25.0
Muse Spark Open
- 23.8
Muse Wonder
- 23.3
Muse Wonder Full
- 18.3 Grok 4.7
- 17.5
Mistral Large 4
- 17.5
Gemini 4 Carbon
- 15.8
Mistral Large 4 (Le Chonk, open weights)
- 15.4
Qwen3.8 Max (0902)
- 14.6 GLM-5.3
- 14.2
DeepSeek V4.1 Flash 1017
- 13.8 MiMo-V2.6 Pro
- 13.3 MiMo-V2.6 Flash
- 12.9 Kimi K3
- 12.9
Step 5 Preview
- 12.1
Gemini 3.8 Flash
- 11.7 Kimi K3.1 Pro
- 10.8
DeepSeek V4 Pro 0813
- 10.4 GLM-5.3-Flash
- 10.4 Claude Sonnet 5.5
- 9.17 Claude Opus 5.5
- 8.75
Tencent Hy4 preview
- 7.50
MiniMax-M3.1-Flash
- 7.08 GPT-6 Astra
- 6.25 GPT-6.1 Sol
- 5.00 Mercury 3
- 4.58 Beam 1.0
- 4.17 GPT-6 Luna
- 4.17 Claude Haiku 5.5
- 3.75
Inkling
- 3.75
Nemotron 3.5 Super VL
- 2.92
Inkling-Small
- 1.67 GPT-6.1 Terra
- 1
Gemini 4 Argon 27.1%
- 2
Muse Spark Open 25%
- 3
Muse Wonder 23.8%
- 4
Muse Wonder Full 23.3%
- 5 Grok 4.7 18.3%
- 6
Mistral Large 4 17.5%
- 7
Gemini 4 Carbon 17.5%
- 8
Mistral Large 4 (Le Chonk, open weights) 15.8%
- 9
Qwen3.8 Max (0902) 15.4%
- 10 GLM-5.3 14.6%
- 11
DeepSeek V4.1 Flash 1017 14.2%
- 12 MiMo-V2.6 Pro 13.8%
- 13 MiMo-V2.6 Flash 13.3%
- 14 Kimi K3 12.9%
- 15
Step 5 Preview 12.9%
- 16
Gemini 3.8 Flash 12.1%
- 17 Kimi K3.1 Pro 11.7%
- 18
DeepSeek V4 Pro 0813 10.8%
- 19 GLM-5.3-Flash 10.4%
- 20 Claude Sonnet 5.5 10.4%
- 21 Claude Opus 5.5 9.17%
- 22
Tencent Hy4 preview 8.75%
- 23
MiniMax-M3.1-Flash 7.50%
- 24 GPT-6 Astra 7.08%
- 25 GPT-6.1 Sol 6.25%
- 26 Mercury 3 5.00%
- 27 Beam 1.0 4.58%
- 28 GPT-6 Luna 4.17%
- 29 Claude Haiku 5.5 4.17%
- 30
Inkling 3.75%
- 31
Nemotron 3.5 Super VL 3.75%
- 32
Inkling-Small 2.92%
- 33 GPT-6.1 Terra 1.67%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 27.1% | Sep 2026 | Official leaderboard | |
| 2 | | 25% | Oct 2026 | Official leaderboard | |
| 3 | | 23.8% | Oct 2026 | Official leaderboard | |
| 4 | | 23.3% | Oct 2026 | Official leaderboard | |
| 5 | Grok 4.7 | 18.3% | Sep 2026 | Official leaderboard | |
| 6 | | 17.5% | Oct 2026 | Official leaderboard | |
| 7 | | 17.5% | Oct 2026 | Official leaderboard | |
| 8 | | 15.8% | Oct 2026 | Official leaderboard | |
| 9 | | 15.4% | Sep 2026 | Official leaderboard | |
| 10 | GLM-5.3 | 14.6% | Aug 2026 | Official leaderboard | |
| 11 | | 14.2% | Oct 2026 | Official leaderboard | |
| 12 | MiMo-V2.6 Pro | 13.8% | Sep 2026 | Official leaderboard | |
| 13 | MiMo-V2.6 Flash | 13.3% | Sep 2026 | Official leaderboard | |
| 14 | Kimi K3 | 12.9% | Jul 2026 | Official leaderboard | |
| 15 | | 12.9% | Sep 2026 | Official leaderboard | |
| 16 | | 12.1% | Sep 2026 | Official leaderboard | |
| 17 | Kimi K3.1 Pro | 11.7% | Oct 2026 | Official leaderboard | |
| 18 | | 10.8% | Aug 2026 | Official leaderboard | |
| 19 | GLM-5.3-Flash | 10.4% | Aug 2026 | Official leaderboard | |
| 20 | Claude Sonnet 5.5 | 10.4% | Sep 2026 | Official leaderboard | |
| 21 | Claude Opus 5.5 | 9.17% | Sep 2026 | Official leaderboard | |
| 22 | | 8.75% | Aug 2026 | Official leaderboard | |
| 23 | | 7.50% | Oct 2026 | Official leaderboard | |
| 24 | GPT-6 Astra | 7.08% | Sep 2026 | Official leaderboard | |
| 25 | GPT-6.1 Sol | 6.25% | Sep 2026 | Official leaderboard | |
| 26 | Mercury 3 | 5.00% | Oct 2026 | Official leaderboard | |
| 27 | Beam 1.0 | 4.58% | Oct 2026 | Official leaderboard | |
| 28 | GPT-6 Luna | 4.17% | Sep 2026 | Official leaderboard | |
| 29 | Claude Haiku 5.5 | 4.17% | Oct 2026 | Official leaderboard | |
| 30 | | 3.75% | Jul 2026 | Official leaderboard | |
| 31 | | 3.75% | Oct 2026 | Official leaderboard | |
| 32 | | 2.92% | Jul 2026 | Official leaderboard | |
| 33 | GPT-6.1 Terra | 1.67% | Oct 2026 | Official leaderboard |
The best score, 27.1%, costs $11 a task
Runs on the cost frontier score higher than any run that's cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | 27.1% | $11 | |||
| | 25% | $14 | |||
| | 23.8% | $7.08 | |||
| | 23.3% | $5.41 | |||
| Grok 4.7 | 18.3% | $11 | |||
| | 17.5% | $2.55 | |||
| | 17.5% | $6.52 | |||
| | 15.8% | $0.73 | |||
| | 15.4% | $3.36 | |||
| GLM-5.3 | 14.6% | $3.99 | |||
| | 14.2% | $0.61 | |||
| MiMo-V2.6 Pro | 13.8% | $0.22 | |||
| MiMo-V2.6 Flash | 13.3% | $0.09 | |||
| Kimi K3 | 12.9% | $4.14 | |||
| | 12.9% | $1.13 | |||
| | 12.1% | $3.66 | |||
| Kimi K3.1 Pro | 11.7% | $9.00 | |||
| | 10.8% | $0.80 | |||
| GLM-5.3-Flash | 10.4% | $0.32 | |||
| Claude Sonnet 5.5 | 10.4% | $17 | |||
| Claude Opus 5.5 | 9.17% | $21 | |||
| | 8.75% | $0.98 | |||
| | 7.50% | $0.47 | |||
| GPT-6 Astra | 7.08% | $25 | |||
| GPT-6.1 Sol | 6.25% | $3.54 | |||
| Mercury 3 | 5.00% | $0.19 | |||
| Beam 1.0 | 4.58% | ||||
| GPT-6 Luna | 4.17% | $0.30 | |||
| Claude Haiku 5.5 | 4.17% | $4.26 | |||
| | 3.75% | $1.25 | |||
| | 3.75% | $0.37 | |||
| | 2.92% | $0.18 | |||
| GPT-6.1 Terra | 1.67% | $1.48 |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 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.
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