MedXpertQA Text (MedXpertQA (Text))

We show this table for reference; we do not rank on it.

Data verified September 27, 202634 confirmed releases in the last 30 daysFollow model changes

A medical multiple-choice benchmark spanning many specialties with 10 answer options per question.

Benchmark score on MedXpertQA (Text) — September 27, 2026

We compile the MedXpertQA (Text) rows from provider self-reports and secondary reports. Gemini 3.1 Pro leads the table at 71.5%, followed by GPT-5.4 (59.6%) and Muse Spark (52.6%). We do not use these results to rank models overall.

1Proprietary

Gemini 3.1 Pro

Google

71.5%

Overall 64.45Context 1M

2Proprietary

GPT-5.4

OpenAI

59.6%

Overall 68.51Context 1.05M

3Proprietary

Muse Spark

Benchmark score table (5 models)

Score

Gemini 3.1 ProGoogle · Closed

71.5%

GPT-5.4OpenAI · Closed

59.6%

Muse SparkMeta · Closed

52.6%

Claude Opus 4.6Anthropic · Closed

52.1%

Grok 4.20xAI · Closed

50.2%

Among the reported MedXpertQA (Text) rows, Gemini 3.1 Pro is first at 71.5%. The third row is 18.9 points behind. The broader top-10 range is 21.3 points, so the table still separates the published systems.

5 models have been evaluated on MedXpertQA (Text). The benchmark falls in the Knowledge category. MedXpertQA (Text) is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.

About MedXpertQA (Text)

Year

2026

Tasks

2,450 medical multiple-choice questions

Format

Medical MCQ

Difficulty

Professional medical knowledge

Meta describes the text variant as 2,450 specialty-spanning medical questions with answer choices A-J. BenchLM treats it as a display-only health benchmark because it is not part of the weighted core schema.

Muse Spark Eval Methodology

Freshness and provenance

Version

MedXpertQA (Text) 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.

Questions

What does MedXpertQA (Text) measure?

A medical multiple-choice benchmark spanning many specialties with 10 answer options per question.

Which model scores highest on MedXpertQA (Text)?

Gemini 3.1 Pro by Google currently leads with a score of 71.5% on MedXpertQA (Text).

How many models are evaluated on MedXpertQA (Text)?

5 AI models have been evaluated on MedXpertQA (Text) on BenchLM.

Compare top models on MedXpertQA (Text)

Gemini 3.1 Pro vs GPT-5.4 GPT-5.4 vs Muse Spark Muse Spark vs Claude Opus 4.6 Claude Opus 4.6 vs Grok 4.20

Last updated: September 27, 2026 · BenchLM version MedXpertQA (Text) 2026

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