LLM Reference
MathVistaactive

MathVista

Metric: Accuracy (higher is better)Introduced: 2023

About

Mathematical reasoning benchmark combining visual contexts (charts, geometry diagrams, scientific figures) from 28 existing datasets with 6,141 total problems.Compare model scores alongside pricing, API availability, and release date — high benchmark score alone doesn't make a model the right pick.

How to read this benchmark

This benchmark uses a scoring system where higher is better. Scores are useful for directional filtering and model shortlisting, not for universal quality ranking.

Interpretation checklist: prefer benchmarks that are closest to your workload style, then validate against the linked model pages for pricing, context window, and provider availability.

Trust when:

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

Don't trust when:

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

Current modeled score band for tracked entries is roughly 86.8 – 84.3.

Window

Apr 16 to Jun 3

last 3 snapshots

Mean delta

-0.85

score points

Coverage

4

models in latest snapshot

Leaderboard preview (top 5)

  1. 1. o386.8
  2. 2. o386.8
  3. 3. Qwen3.6-35B-A3B86.4
  4. 4. o4-mini84.3
  5. 5. o4-mini84.3