micro1 Medical Index
GPT-6 Astra 71% leads since Oct 2026 Not in model cards
Models are scored on the equal-weight average of micro1 medical benchmarks, currently RealmPathology, PharmaBench and WellnessBench.
A live scoreboard that adds each new micro1 medical benchmark.
- 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.
8
Models scored on its own leaderboard
GPT-6 Astra leads with 71%
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.
- 1 GPT-6 Astra 71%
- 2
Muse Wonder 70.8%
- 3 Claude Sonnet 5.5 70%
- 4 Claude Opus 5.5 68.4%
- 5 Claude Fable 5.1 68.2%
- 6
Gemini 4 Argon 65.2%
- 7 Grok 4.6 64.1%
- 8
Gemini 3.8 Flash 60%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | GPT-6 Astra | 71% | Sep 2026 | Official leaderboard | |
| 2 | | 70.8% | Oct 2026 | Official leaderboard | |
| 3 | Claude Sonnet 5.5 | 70% | Sep 2026 | Official leaderboard | |
| 4 | Claude Opus 5.5 | 68.4% | Sep 2026 | Official leaderboard | |
| 5 | Claude Fable 5.1 | 68.2% | Sep 2026 | Official leaderboard | |
| 6 | | 65.2% | Sep 2026 | Official leaderboard | |
| 7 | Grok 4.6 | 64.1% | Aug 2026 | Official leaderboard | |
| 8 | | 60% | Sep 2026 | Official leaderboard |
Number one over time
Lab claims count from the day the card came out, independent runs from the model’s release.
OpenAI
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
On the benchmark’s own leaderboard
Best so far
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.
More in Law, finance and medicine
- HealthBench Professional In use 525 physician-authored tasks from real clinician chats (care consult, documentation, research) with physician-adjudicated rubrics. Claude Sonnet 5.5 69.2%
- MedXpertQA-MM In use Models answer expert-level medical exam questions that combine images with clinical records and test results. Scoring is accuracy.
Qwen 3.8 Max 80.4%
- HealthBench In use 5,000 realistic health conversations graded against physician-written rubrics. A length-adjusted variant penalizes verbosity. GPT-5 67.2%
- KBL In use Models answer Korean legal knowledge and reasoning tasks and Korean bar exam questions. It has 7 knowledge tasks, 4 reasoning tasks and 2,510 bar exam items.
Solar Pro 4 77.5%
- KorMedMCQA In use Models answer 7,469 multiple-choice questions from Korean licensing exams for doctors, nurses, pharmacists and dentists, held from 2012 to 2024.
Solar Pro 4 93.2%
- PRBench In use Model answers 1,100 expert-written law and finance questions. LLM judge grades against weighted expert rubrics of 10-30 criteria each.
Muse Spark 1.3 61.6%