6,141 examples testing mathematical reasoning across charts, diagrams, word problems and textbook figures, pooled from 28 existing datasets plus three new ones.
unassessed
| Category | math |
|---|---|
| Subcategory | visual mathematical reasoning |
| Page status | active |
| Metric | accuracy |
| Direction | higher_is_better |
| Unit | % |
| Dataset size | 6141 |
| Dataset licence | CC BY-SA 4.0 |
| Publisher | UCLA, University of Washington, Microsoft Research (collaboration) |
MathVista tests whether a model can perform mathematical reasoning that depends on understanding a visual context, rather than reasoning over text alone. It spans five task types: figure question answering (reasoning over charts and plots), geometry problem solving, math word problems set in images, textbook question answering, and general visual question answering with a numeric or quantitative answer. Underlying visual contexts include natural images, geometry diagrams, abstract and synthetic scenes, function plots, and puzzle-test figures, and the questions draw on seven reasoning types from arithmetic and algebra to logical, statistical and scientific reasoning.
An image paired with a question, answered as either a multiple-choice letter or a free-form numerical answer (integer, one or two decimal places, or a list), in English.
| Model | Provider | Score | Card as of |
|---|---|---|---|
| Llama 4 Maverick 17B 128E Instruct | Meta | 73.7 | 2026-04 |
| Llama-4-Maverick-17B-128E-Instruct-FP8 | Meta | 73.7 | 2026-04 |
| Llama 4 Scout 17B 16E | Meta | 70.7 | 2026-04 |
| Llama 4 Scout 17B 16E Instruct | Meta | 70.7 | 2026-04 |
| Llama-4-Scout-17B-16E-Instruct-FP8 | Meta | 70.7 | 2026-04 |
| GPT-4 | OpenAI | 68.2 | 2026-04 |
| GPT-4.1 | OpenAI | 68.2 | 2026-04 |
| GPT-4.1 mini | OpenAI | 68.2 | 2026-04 |
| GPT-4.1 nano | OpenAI | 68.2 | 2026-04 |
| Gemini 2.5 Pro | Google DeepMind | 67.8 | 2026-04 |
| Gemini 2.5 Pro Preview 05-06 | Google DeepMind | 67.8 | 2026-04 |
| Gemini 2.5 Pro Preview 06-05 | Google DeepMind | 67.8 | 2026-04 |
| Gemini 2.5 Pro Preview TTS | Google DeepMind | 67.8 | 2026-04 |
| Claude Sonnet 3.5 | Anthropic | 67.7 | 2026-04 |
| Claude Sonnet 3.5 v2 | Anthropic | 67.7 | 2026-04 |
| MiniCPM V 4 | OpenBMB | 66.9 | 2026-04 |
| MiniCPM V 4 5 | OpenBMB | 66.9 | 2026-04 |
| MiniCPM V 4 5 gguf | OpenBMB | 66.9 | 2026-04 |
| Claude Opus 4 | Anthropic | 65.5 | 2026-04 |
| Claude Opus 4.6 | Anthropic | 65.5 | 2026-04 |
| NVLM D 72B | NVIDIA | 65.2 | 2026-04 |
| GPT-4o | OpenAI | 63.8 | 2026-04 |
| GPT-4o (2024-05-13) | OpenAI | 63.8 | 2026-04 |
| GPT-4o (2024-08-06) | OpenAI | 63.8 | 2026-04 |
| GPT-4o (2024-11-20) | OpenAI | 63.8 | 2026-04 |
| GPT-4o mini | OpenAI | 63.8 | 2026-04 |
| Gemma 3 12B | Google DeepMind | 62.9 | 2026-04 |
| Claude Sonnet 4 | Anthropic | 62.1 | 2026-04 |
| Claude Sonnet 4.5 | Anthropic | 62.1 | 2026-04 |
| Claude Sonnet 4.5 (latest) | Anthropic | 62.1 | 2026-04 |
| Qwen2 VL 7B Instruct | Alibaba / Qwen Team | 58.2 | 2025-03 |
| Qwen2 VL 7B Instruct AWQ | Alibaba / Qwen Team | 58.2 | 2025-03 |
| Qwen2.5-VL 72B Instruct | Alibaba / Qwen Team | 58.2 | 2026-04 |
| Llama 3.2 90B Vision | Meta | 57.3 | 2026-04 |
| Llama 3.2 90B Vision Instruct | Meta | 57.3 | 2026-04 |
| Gemini 1.5 Pro | Google DeepMind | 55.8 | 2026-04 |
| Gemini 2.0 Flash | Google DeepMind | 55.2 | 2026-04 |
| Gemini 2.0 Flash Lite | Google DeepMind | 55.2 | 2026-04 |
| Gemini 1.5 Flash | Google DeepMind | 54.5 | 2026-04 |
| Gemini 1.5 Flash-8B | Google DeepMind | 54.5 | 2026-04 |
| Gemma 4 31B | Google DeepMind | 54.5 | 2026-04 |
| gemma 4 31B it | Google DeepMind | 54.5 | 2026-04 |
| gemma 4 31B it GGUF | Unsloth | 54.5 | 2026-04 |
| Gemma 4 31B IT NVFP4 | NVIDIA | 54.5 | 2026-04 |
| Pixtral Large (latest) | Mistral AI | 52.5 | 2026-04 |
| Llama 3.2 11B Vision | Meta | 51.5 | 2026-04 |
| Llama 3.2 11B Vision Instruct | Meta | 51.5 | 2026-04 |
| Claude Opus 3 | Anthropic | 50.5 | 2026-04 |
| Claude Sonnet 3 | Anthropic | 50.5 | 2026-04 |
| GPT-4 Turbo | OpenAI | 50.5 | 2026-04 |
| Mistral Large (latest) | Mistral AI | 50.2 | 2026-04 |
| Mistral Large 3 | Mistral AI | 50.2 | 2026-04 |
| Gemma 3 4B | Google DeepMind | 50.0 | 2026-04 |
| gemma 3 4B pt | Google DeepMind | 50.0 | 2026-04 |
| Grok 2 | xAI | 48.8 | 2026-04 |
| Grok 2 Latest | xAI | 48.8 | 2026-04 |
| Grok 2 Vision | xAI | 48.8 | 2026-04 |
| Grok 2 Vision (1212) | xAI | 48.8 | 2026-04 |
| Grok 2 Vision Latest | xAI | 48.8 | 2026-04 |
| Gemma 3 27B | Google DeepMind | 48.5 | 2026-04 |
| Claude Haiku 3 | Anthropic | 47.9 | 2026-04 |
| Command A Vision | Cohere | 46.5 | 2026-04 |
| Qwen2.5 VL 3B Instruct | Alibaba / Qwen Team | 45.8 | 2026-04 |
| Phi 3.5 vision instruct | Microsoft | 43.9 | 2026-04 |
| Pixtral 12B | Mistral AI | 43.8 | 2026-04 |
| Qwen2.5-VL 7B Instruct | Alibaba / Qwen Team | 42.5 | 2026-04 |