# MedXpertQA MM Extended — Mercor evaluation (MedXpertQA MM Extended (Mercor))

> Medical multiple-choice reasoning over images and clinical details. This table shows Mercor-run configurations for reference and is excluded from model rankings.

Canonical page: https://benchlm.ai/benchmarks/mercormedxpertqammextended

- Category: [Multimodal & Grounded](/multimodal-grounded)
- Last updated: October 15, 2026 capture

Evaluation results published by [Mercor](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/). Published evaluation aggregates only; task contents and dataset license grants are not included.

We captured Mercor's MedXpertQA MM Extended results on October 15, 2026. The table preserves 40 published configurations, their source identifiers, reasoning settings, and disclosed pass@1 values. These are results from Mercor's evaluation setup; we did not rerun them.

The headline uses the 51 Mercor-built tasks. The paired original-set values refer to the separately listed 200-task public benchmark. Missing baselines remain unreported. We keep the extension and original set separate from their upstream benchmark-owner and provider-run tables.

The headline is the source page's selected Pass@1 metric. The task set, harness, tools, and grader belong to this Mercor run and may differ from another evaluator's results.

The row labels retain published error margins and sample counts when supplied. Missing margins and counts remain unreported; a sample count is not used to reconstruct a task denominator. Except where the dedicated source defines an interval, the confidence level is unreported. Equal displayed scores and overlapping margins do not establish statistical ties. Capture time does not establish individual evaluation dates.

The general methodology lists programmatic multiple-choice answer extraction and a judge of None. Its run-count label is k = 3. Those notes describe the original public benchmark; extension-specific changes are not established by that reference.

- [Mercor MedXpertQA MM Extended results](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/)
- [Mercor APEX benchmark index](https://www.mercor.com/apex/)
- [Mercor methodology](https://www.mercor.com/apex/methodology/)
- [Paired Mercor original-set results](https://www.mercor.com/apex/oss-benchmarks/oss-medxpertqa-mm-leaderboard/)
- [Source paper](https://arxiv.org/abs/2501.18362)
- [Upstream evaluation code](https://github.com/TsinghuaC3I/MedXpertQA)
- [Upstream dataset](https://huggingface.co/datasets/TsinghuaC3I/MedXpertQA)

## About MedXpertQA MM Extended (Mercor)

- Tasks: 51 Mercor tasks; 200 tasks in the separately reported original set
- Format: Pass@1
- Difficulty: Source-specific evaluation
- Paper: [MedXpertQA MM Extended evaluation results](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/)

The selected headline is Pass@1. Source model identifiers, effort settings, published margins, and reported sample counts remain attached to the source configuration. Public-set results and Mercor task extensions occupy separate tables.

MedXpertQA MM Extended (Mercor) is currently displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.

## Leaderboard (40 configurations)

| Rank | Model | Configuration | Creator | Score |
|------|-------|---------------|---------|-------|
| 1 | [Opus 5.5](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±11.8 · Original set 85.7% ±4.4 · 153 reported samples | Anthropic | 71.20% |
| 2 | [GPT-6 Sol](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±12.1 · Original set 81.3% ±5.2 · 153 reported samples | OpenAI | 68.00% |
| 3 | [Fable 5.1](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±11.1 · Original set 79.7% ±5.2 · 153 reported samples | Anthropic | 66.00% |
| 4 | [Fable 5.1](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±11.4 · Original set 83.7% ±4.7 · 153 reported samples | Anthropic | 65.40% |
| 5 | [GPT-5.6 Sol (Pro)](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±12.1 · Original set 79.5% ±5.3 · 153 reported samples | OpenAI | 64.70% |
| 6 | [GPT-6.1 Sol](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±12.1 · Original set 85.7% ±4.7 · 153 reported samples | OpenAI | 64.70% |
| 7 | [Opus 5](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±11.8 · Original set 79.8% ±5.2 · 153 reported samples | Anthropic | 64.10% |
| 8 | [Gemini 3.7 Flash](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±13.4 · Original set 83.5% ±5 · 153 reported samples | Google | 62.70% |
| 9 | [GPT-5.4](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · xhigh reasoning · Published margin ±11.8 · Original set 74.2% ±5.7 · 153 reported samples | OpenAI | 62.10% |
| 10 | [GPT-5.5](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · xhigh reasoning · Published margin ±11.4 · Original set 76.7% ±5.4 · 153 reported samples | OpenAI | 60.80% |
| 11 | [Gemini 3.1 Pro](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±12.4 · Original set 80.2% ±5.2 · 153 reported samples | Google | 60.80% |
| 12 | [Gemini 3.8 Flash](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±13.1 · Original set 84.7% ±4.8 · 153 reported samples | Google | 60.80% |
| 13 | [GPT-6 Astra](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±13.1 · Original set 86.8% ±4.6 · 153 reported samples | OpenAI | 60.80% |
| 14 | [Muse Spark 1.3](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±10.8 · Original set 76.3% ±5.2 · 153 reported samples | Meta | 60.10% |
| 15 | [Muse Spark 1.1](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · xhigh reasoning · Published margin ±11.8 · Original set 77% ±5.4 · 153 reported samples | Meta | 58.20% |
| 16 | [Muse Spark 1.2](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · xhigh reasoning · Published margin ±12.1 · Original set 75.7% ±5.3 · 153 reported samples | Meta | 58.20% |
| 17 | [Gemini 3.5 Flash](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±12.7 · Original set 83.5% ±4.9 · 153 reported samples | Google | 57.50% |
| 18 | [Fable 5](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±13.1 · Original set 76.2% ±5.7 · 153 reported samples | Anthropic | 56.90% |
| 19 | [GPT-5.6 Luna](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±13.1 · Original set 70.2% ±5.8 · 153 reported samples | OpenAI | 56.20% |
| 20 | [Sonnet 5.5](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±12.7 · Original set 80.7% ±5 · 152 reported samples | Anthropic | 55.60% |
| 21 | [Gemini 3.6 Flash](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±12.4 · Original set 82.8% ±4.8 · 153 reported samples | Google | 54.20% |
| 22 | [GLM-5.3-Flash](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±11.8 · Original set 73.7% ±5.5 · 153 reported samples | Zhipu | 52.90% |
| 23 | [Grok 4.7](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · xhigh reasoning · Published margin ±11.4 · Original set 69% ±6.1 · 150 reported samples | xAI | 52.00% |
| 24 | [Kimi K2.7 Code](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±12.4 · Original set 65.7% ±5.7 · 153 reported samples | Kimi | 51.60% |
| 25 | [Qwen3.8-Max](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · xhigh reasoning · Published margin ±12.4 · Original set 78.3% ±5.2 · 153 reported samples | Alibaba | 51.60% |
| 26 | [Opus 4.8](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±12.4 · Original set 72.5% ±5.9 · 153 reported samples | Anthropic | 51.60% |
| 27 | [GPT-5.6 Terra](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±12.4 · Original set 75.7% ±5.5 · 153 reported samples | OpenAI | 51.00% |
| 28 | [Inkling](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±12.4 · Original set 60% ±6 · 153 reported samples | Thinking Machines | 51.00% |
| 29 | [Opus 4.7](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±12.4 · Original set 72.8% ±5.7 · 153 reported samples | Anthropic | 51.00% |
| 30 | [Grok 4.6](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · xhigh reasoning · Published margin ±12.4 · Original set 75.2% ±5.7 · 153 reported samples | xAI | 48.40% |
| 31 | [DeepSeek-V4.1-Flash](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±12.4 · Original set 63.5% ±5.8 · 153 reported samples | DeepSeek | 48.40% |
| 32 | [Haiku 5.5](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±11.8 · Original set 67.8% ±5.8 · 153 reported samples | Anthropic | 48.40% |
| 33 | [Kimi K3](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±11.4 · Original set 73.2% ±5.3 · 153 reported samples | Kimi | 47.70% |
| 34 | [Gemini 3.5 Flash Lite](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±12.1 · Original set 66.7% ±6 · 153 reported samples | Google | 47.70% |
| 35 | [GPT-6 Luna](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±13.1 · Original set 64.8% ±6.1 · 153 reported samples | OpenAI | 46.40% |
| 36 | [Qwen3.5](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · Published margin ±12.4 · Original set 65.8% ±6 · 153 reported samples | Alibaba | 45.10% |
| 37 | [Sonnet 5](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · max reasoning · Published margin ±12.1 · Original set 63% ±6 · 153 reported samples | Anthropic | 43.80% |
| 38 | [Grok 4.5](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±12.4 · Original set 69.5% ±6.1 · 153 reported samples | xAI | 41.20% |
| 39 | [Sonnet 4.6](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±12.4 · Original set 61.7% ±6.2 · 153 reported samples | Anthropic | 41.20% |
| 40 | [MiniMax-M3](https://www.mercor.com/apex/mercor-extended/ots-held-out-medxpertqa-mm-leaderboard/) | Mercor extended-set run · high reasoning · Published margin ±10.5 · Original set 59.7% ±6 · 153 reported samples | MiniMax | 34.60% |

## FAQ

### What does MedXpertQA MM Extended (Mercor) measure?

Medical multiple-choice reasoning over images and clinical details. This table shows Mercor-run configurations for reference and is excluded from model rankings.

### Which model leads the published MedXpertQA MM Extended (Mercor) snapshot?

Opus 5.5 currently leads the published MedXpertQA MM Extended (Mercor) snapshot with a score of 71.20%.

### How many models are evaluated on MedXpertQA MM Extended (Mercor)?

The October 15, 2026 capture contains 40 source configurations.

### Does MedXpertQA MM Extended (Mercor) affect BenchLM's overall score?

Not directly. MedXpertQA MM Extended (Mercor) is still displayed on BenchLM for reference, but it is excluded from the weighted scoring formula.