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BenchLM

MedXpertQA Multimodal (MedXpertQA (MM))

A multimodal medical multiple-choice benchmark covering clinical images such as X-rays, histology, and dermatology.

Data verified 24 confirmed releases in the last 30 daysStart free brief

Benchmark score on MedXpertQA (MM) — August 26, 2026

We mirror the published score view for MedXpertQA (MM). Gemini 3.1 Pro leads the public snapshot at 81.3%, followed by Qwen3.8 Max (80.4%) and Muse Spark (78.4%). We do not use these results to rank models overall.

1Closed

Gemini 3.1 Pro

Google

81.3%
Overall 56.14Context 1M
2Open

Qwen3.8 Max

Alibaba

80.4%
Overall 79.18Context 1M
3Closed

Muse Spark

Meta

78.4%
Overall 70.87Context 262K
8 modelsMultimodal & GroundedCurrentDisplay onlyUpdated August 26, 2026

Benchmark score table (8 models)

Score
1
Gemini 3.1 ProGoogle · Closed
81.3%
2
Qwen3.8 MaxAlibaba · Open weight
80.4%
3
Muse SparkMeta · Closed
78.4%
4
GPT-5.4OpenAI · Closed
77.1%
5
Qwen3.7 PlusAlibaba · Closed
71.0%
6
Grok 4.20xAI · Closed
65.8%
7
Claude Opus 4.6Anthropic · Closed
64.8%
8
Gemma 4 12BGoogle · Open weight
48.7%

The published MedXpertQA (MM) snapshot places Gemini 3.1 Pro first at 81.3%. The third row is 2.9 points behind. The broader top-10 range is 32.6 points, so the table still separates the published systems.

8 models have been evaluated on MedXpertQA (MM). The benchmark falls in the Multimodal & Grounded category. This category carries a 12% weight in BenchLM.ai's overall scoring system. MedXpertQA (MM) is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About MedXpertQA (MM)

Year

2026

Tasks

2,000 multimodal medical questions

Format

Medical visual MCQ

Difficulty

Clinical multimodal reasoning

Meta describes the multimodal MedXpertQA variant as 2,000 clinically grounded medical questions with five answer choices. BenchLM stores it as a display-only health and multimodal reference.

Muse Spark Eval Methodology

BenchLM freshness & provenance

Version

MedXpertQA (MM) 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

FAQ

What does MedXpertQA (MM) measure?

A multimodal medical multiple-choice benchmark covering clinical images such as X-rays, histology, and dermatology.

Which model scores highest on MedXpertQA (MM)?

Gemini 3.1 Pro by Google currently leads with a score of 81.3% on MedXpertQA (MM).

How many models are evaluated on MedXpertQA (MM)?

8 AI models have been evaluated on MedXpertQA (MM) on BenchLM.

Compare Top Models on MedXpertQA (MM)

Gemini 3.1 Pro vs Qwen3.8 MaxQwen3.8 Max vs Muse SparkMuse Spark vs GPT-5.4GPT-5.4 vs Qwen3.7 Plus
Last updated: August 26, 2026 · BenchLM version MedXpertQA (MM) 2026

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