DAYJOB: Law
Agents do legal assignments from a short request and a workspace of files. An agent judge applies an expert rubric, and a pass needs 95% of criteria.
Results for 15 models appear only in the Fireworks Specialized Intelligence Index. Surge had not published the tasks or task count by October 30th, 2026.
- Made by
- Surge AI
- Released
- October 2026
- Kind
- Law
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
GPT-6 Astra leads with 36.9%
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
- 36.9 GPT-6 Astra
- 36.6
Muse Wonder
- 31.8 GPT-6.1 Sol
- 27.6 Grok 4.7
- 27.0 Claude Sonnet 5.5
- 26.5 Claude Fable 5.1
- 25.1 Claude Opus 5.5
- 23.9 Kimi K3.1 Pro
- 22.8
Muse Spark 1.3
- 16.9
Qwen 3.8 Max
- 9.90
Tencent Hy4 preview
- 9.90
Gemini 4 Argon
- 6.20 GLM-5.3
- 6.20
DeepSeek V4.1 Flash 1017
- 4.50
Mistral Large 4
- 4.20 Kimi K3
- 1 GPT-6 Astra max 36.9%
- 2
Muse Wonder max 36.6%
- 3 GPT-6.1 Sol max 31.8%
- 4 Grok 4.7 xhigh 27.6%
- 5 Claude Sonnet 5.5 adaptive/max 27%
- 6 Claude Fable 5.1 adaptive/max 26.5%
- 7 Claude Opus 5.5 adaptive/max 25.1%
- 8 Kimi K3.1 Pro 23.9%
- 9
Muse Spark 1.3 max 22.8%
- 10
Qwen 3.8 Max xhigh 16.9%
- 11
Tencent Hy4 preview high 9.90%
- 12
Gemini 4 Argon high 9.90%
- 13 GLM-5.3 max 6.20%
- 14
DeepSeek V4.1 Flash 1017 max 6.20%
- 15
Mistral Large 4 high 4.50%
- 16 Kimi K3 max 4.20%
Source: Official DAYJOB: Law leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 36.9% | max | Sep 2026 | Official leaderboard |
| 2 | | 36.6% | max | Oct 2026 | Official leaderboard |
| 3 | GPT-6.1 Sol | 31.8% | max | Sep 2026 | Official leaderboard |
| 4 | Grok 4.7 | 27.6% | xhigh | Sep 2026 | Official leaderboard |
| 5 | Claude Sonnet 5.5 | 27% | adaptive/max | Sep 2026 | Official leaderboard |
| 6 | Claude Fable 5.1 | 26.5% | adaptive/max | Sep 2026 | Official leaderboard |
| 7 | Claude Opus 5.5 | 25.1% | adaptive/max | Sep 2026 | Official leaderboard |
| 8 | Kimi K3.1 Pro | 23.9% | Oct 2026 | Official leaderboard | |
| 9 | | 22.8% | max | Sep 2026 | Official leaderboard |
| 10 | | 16.9% | xhigh | Aug 2026 | Official leaderboard |
| 11 | | 9.90% | high | Aug 2026 | Official leaderboard |
| 12 | | 9.90% | high | Sep 2026 | Official leaderboard |
| 13 | GLM-5.3 | 6.20% | max | Aug 2026 | Official leaderboard |
| 14 | | 6.20% | max | Oct 2026 | Official leaderboard |
| 15 | | 4.50% | high | Oct 2026 | Official leaderboard |
| 16 | Kimi K3 | 4.20% | max | Jul 2026 | Official leaderboard |
The best score, 36.9%, costs $9.26 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.
Source: Official DAYJOB: Law leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| GPT-6 Astra | max | 36.9% | $9.26 | ||
| | max | 36.6% | $5.06 | ||
| GPT-6.1 Sol | max | 31.8% | $1.49 | ||
| Grok 4.7 | xhigh | 27.6% | $4.83 | ||
| Claude Sonnet 5.5 | adaptive/max | 27% | $14 | ||
| Claude Fable 5.1 | adaptive/max | 26.5% | $16 | ||
| Claude Opus 5.5 | adaptive/max | 25.1% | $14 | ||
| Kimi K3.1 Pro | 23.9% | $3.92 | |||
| | max | 22.8% | $1.52 | ||
| | xhigh | 16.9% | $4.51 | ||
| | high | 9.90% | $0.61 | ||
| | high | 9.90% | $3.12 | ||
| GLM-5.3 | max | 6.20% | $1.94 | ||
| | max | 6.20% | $0.47 | ||
| | high | 4.50% | $2.77 | ||
| Kimi K3 | max | 4.20% | $2.52 |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official DAYJOB: Law 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 DAYJOB: Law 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.
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