Knowledge · Benchmark profile
A medical multiple-choice benchmark spanning many specialties with 10 answer options per question.
Data verified 21 Jul 2026 · Methodology 1.6.0
Benchmark score on MedXpertQA Text
Gemini 3.1 Pro leads at 71.5%, followed by GPT-5.4 (59.6%) and Muse Spark (52.6%).
Visual analysis
Switch between model placement, score distribution and descriptive provider averages. Every view uses the same sourced leaderboard.
5 ranked models · higher is better
| Model | Rank | Provider | Score |
|---|---|---|---|
| Gemini 3.1 Pro | #1 | 71.5% | |
| GPT-5.4 | #2 | OpenAI | 59.6% |
| Muse Spark | #3 | Meta | 52.6% |
| Claude Opus 4.6 | #4 | Anthropic | 52.1% |
| Grok 4.20 | #5 | xAI | 50.2% |
One best score per model · higher is better
| Rank | Model | Provider | License | Evidence use | Score |
|---|---|---|---|---|---|
| #1 | Gemini 3.1 Pro gemini-3-1-pro | closed | Estimated reference | 71.5% | |
| #2 | GPT-5.4 gpt-5.4 | OpenAI | closed | Reference only | 59.6% |
| #3 | Muse Spark muse-spark | Meta | closed | Reference only | 52.6% |
| #4 | Claude Opus 4.6 claude-opus-4-6 | Anthropic | closed | Reference only | 52.1% |
| #5 | Grok 4.20 grok-4.20 | xAI | closed | Estimated reference | 50.2% |
The top of this snapshot is led by Gemini 3.1 Pro at 71.5%; third place is 18.9 points behind. The top-5 spread is 21.3 points.
About MedXpertQA Text
A medical multiple-choice benchmark spanning many specialties with 10 answer options per question. Results stay tied to the exact model variant and evaluation system. Multiple systems for the same model use the best published score on this page; overall Lumina scoring uses the median of ranking-eligible rows.
Open benchmark source ↗FAQ
A medical multiple-choice benchmark spanning many specialties with 10 answer options per question.
Gemini 3.1 Pro by Google currently leads with 71.5%.
5 models in the LuminaBench cohort have a qualifying score on this benchmark.
Related
2026 · 10 results · Reference
Artificial Analysis MMLU-Pro2026 · 4 results · Reference
Massive Multitask Language Understanding2020 · 8 results · Reference
Graduate-Level Google-Proof Q&A2023 · 70 results · Reference
SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines2025 · 19 results · Reference
Massive Multitask Language Understanding Professional2024 · 42 results · Reference
