LLM Reference
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MathVista

Metric: Accuracy (higher is better)Introduced: 2023

Mathematical reasoning benchmark combining visual contexts (charts, geometry diagrams, scientific figures) from 28 existing datasets with 6,141 total problems.

Models ranked

5

tracked on this benchmark

Score band

86.8 – 74.8

best → lowest tracked

Snapshot trend

-11.20

Apr 16 → Jun 7 · 2 models

Leaderboard

Tracked models ranked by Accuracy (higher is better).

Compare candidates
#Model variant and provenanceScore
1
o3
Version: Not recordedHarness: Not recordedEvaluator: Not recordedObserved: Jun 3, 2026Confidence: Not recordedSource

Notes: DAT-5571 vision ranking audit: llm-stats reports o3 leads MathVista at 86.8%.

86.8
2
Qwen3.6-35B-A3B
Version: miniHarness: Not recordedEvaluator: Not recordedObserved: Apr 16, 2026Confidence: Not recordedSource
86.4
3
o4-mini
Version: Not recordedHarness: Not recordedEvaluator: Not recordedObserved: Jun 3, 2026Confidence: Not recordedSource

Notes: DAT-5571 vision ranking audit: llm-stats reports o4-mini at 84.3% on MathVista.

84.3
4
MiniCPM-V 4.6
Version: Thinking variant (accuracy%)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
75.6
5
Claude Opus 4.6
Version: MathVista accuracy (accuracy)Harness: Not recordedEvaluator: Not recordedObserved: Jun 7, 2026Confidence: Not recordedSource
74.8

How to read this benchmark

This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.

Trust this score when

  • There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
  • The model list covers the same version family you can actually deploy today.
  • Top candidates overlap with your required routing and feature requirements.

Be cautious when

  • There is only one benchmark snapshot or the dataset appears stale.
  • The benchmark metric direction is opposite of your decision objective.
  • The score difference between options is narrow and likely within implementation variance.

Last reviewed: Apr 15, 2026