Immigration Bench
Models answer expert-written US immigration law questions from seven personas, such as F-1 students, employers and DACA recipients. An AI grader checks each answer against an expert rubric.
Experts wrote 519 questions. Vals reports on a private 262-question test set and reserves the other 257 for labs to license. Score is the share of rubric items met.
- 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.
Claude Fable 5.1 leads with 75.4%
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.
- 75.4 Claude Fable 5.1
- 72.1 Claude Opus 5.5
- 71.2
Muse Wonder Full
- 70.1
Qwen 3.8 Max
- 69.6
Muse Wonder
- 69.0 Claude Sonnet 5.5
- 68.3 Kimi K3
- 68.1
Gemini 4 Argon
- 68.0 Grok 4.7
- 67.8 GPT-6.1 Sol
- 67.7 GPT-6 Astra
- 67.5 MiMo-V2.6 Pro
- 66.7 GLM-5.3
- 66.5
Muse Spark 1.2
- 66.0 Grok 4.6
- 65.6
DeepSeek V4.1 Flash
- 65.0
Muse Spark 1.3
- 63.7
Mistral Large 4
- 63.4
Gemini 3.8 Flash
- 62.5 GPT-6 Luna
- 61.8 Claude Haiku 5.5
- 61.7
DeepSeek V4 Pro 0813
- 57.5
MiniMax-M3
- 55.7
Gemini 3.5 Flash-Lite
- 1 Claude Fable 5.1 75.4%
- 2 Claude Opus 5.5 72.1%
- 3
Muse Wonder Full 71.2%
- 4
Qwen 3.8 Max 70.1%
- 5
Muse Wonder 69.6%
- 6 Claude Sonnet 5.5 69%
- 7 Kimi K3 68.3%
- 8
Gemini 4 Argon 68.1%
- 9 Grok 4.7 68%
- 10 GPT-6.1 Sol 67.8%
- 11 GPT-6 Astra 67.7%
- 12 MiMo-V2.6 Pro 67.5%
- 13 GLM-5.3 66.7%
- 14
Muse Spark 1.2 66.5%
- 15 Grok 4.6 66%
- 16
DeepSeek V4.1 Flash 65.6%
- 17
Muse Spark 1.3 65%
- 18
Mistral Large 4 63.7%
- 19
Gemini 3.8 Flash 63.4%
- 20 GPT-6 Luna 62.5%
- 21 Claude Haiku 5.5 61.8%
- 22
DeepSeek V4 Pro 0813 61.7%
- 23
MiniMax-M3 57.5%
- 24
Gemini 3.5 Flash-Lite 55.7%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | Claude Fable 5.1 | 75.4% | Sep 2026 | Official leaderboard | |
| 2 | Claude Opus 5.5 | 72.1% | Sep 2026 | Official leaderboard | |
| 3 | | 71.2% | Oct 2026 | Official leaderboard | |
| 4 | | 70.1% | Aug 2026 | Official leaderboard | |
| 5 | | 69.6% | Oct 2026 | Official leaderboard | |
| 6 | Claude Sonnet 5.5 | 69% | Sep 2026 | Official leaderboard | |
| 7 | Kimi K3 | 68.3% | Jul 2026 | Official leaderboard | |
| 8 | | 68.1% | Sep 2026 | Official leaderboard | |
| 9 | Grok 4.7 | 68% | Sep 2026 | Official leaderboard | |
| 10 | GPT-6.1 Sol | 67.8% | Sep 2026 | Official leaderboard | |
| 11 | GPT-6 Astra | 67.7% | Sep 2026 | Official leaderboard | |
| 12 | MiMo-V2.6 Pro | 67.5% | Sep 2026 | Official leaderboard | |
| 13 | GLM-5.3 | 66.7% | Aug 2026 | Official leaderboard | |
| 14 | | 66.5% | Aug 2026 | Official leaderboard | |
| 15 | Grok 4.6 | 66% | Aug 2026 | Official leaderboard | |
| 16 | | 65.6% | Sep 2026 | Official leaderboard | |
| 17 | | 65% | Sep 2026 | Official leaderboard | |
| 18 | | 63.7% | Oct 2026 | Official leaderboard | |
| 19 | | 63.4% | Sep 2026 | Official leaderboard | |
| 20 | GPT-6 Luna | 62.5% | Sep 2026 | Official leaderboard | |
| 21 | Claude Haiku 5.5 | 61.8% | Oct 2026 | Official leaderboard | |
| 22 | | 61.7% | Aug 2026 | Official leaderboard | |
| 23 | | 57.5% | Jun 2026 | Official leaderboard | |
| 24 | | 55.7% | Jul 2026 | Official leaderboard |
The best score, 75.4%, costs $2.11 a task
Runs on the cost frontier score higher than any run that's cheaper. Muse Wonder Full comes within 4.2 points of the best for $0.39 a task, 5 times 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 |
|---|---|---|---|---|---|
| Claude Fable 5.1 | 75.4% | $2.11 | |||
| Claude Opus 5.5 | 72.1% | $2.16 | |||
| | 71.2% | $0.39 | |||
| | 70.1% | $0.12 | |||
| | 69.6% | $0.30 | |||
| Claude Sonnet 5.5 | 69% | $1.16 | |||
| Kimi K3 | 68.3% | $0.18 | |||
| | 68.1% | $0.51 | |||
| Grok 4.7 | 68% | $0.24 | |||
| GPT-6.1 Sol | 67.8% | $0.23 | |||
| GPT-6 Astra | 67.7% | $1.37 | |||
| MiMo-V2.6 Pro | 67.5% | $0.02 | |||
| GLM-5.3 | 66.7% | $0.12 | |||
| | 66.5% | $0.04 | |||
| Grok 4.6 | 66% | $0.10 | |||
| | 65.6% | $0.05 | |||
| | 65% | $0.05 | |||
| | max | 64.9% | $0.06 | ||
| | 63.7% | $0.15 | |||
| | 63.4% | $0.17 | |||
| GPT-6 Luna | 62.5% | $0.01 | |||
| Claude Haiku 5.5 | 61.8% | $0.09 | |||
| | 61.7% | $0.05 | |||
| | 57.5% | $0.04 | |||
| | 55.7% | $0.02 |
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.
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