BlogLLM Benchmark Scores as Published, Side by Side
MathVista: Results as Published
Every result the catalog holds for MathVista: 27 models from 7 developers, read from 7 pages. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.
Area Multimodal UnderstandingMaintainer Pan Lu and co-authors (UCLA, University of Washington, and Microsoft Research)Introduced 2023Data version 2026103001, as of 2026-10-30
MathVista tests mathematical reasoning that depends on a picture, including figures, charts, geometry diagrams, function plots, tables, scientific figures, and natural images. The full set has 6,141 examples, drawn from 28 existing multimodal datasets plus three new ones, IQTest, FunctionQA, and PaperQA. Most reported results use testmini, a 1,000-example subset; the remaining 5,141 examples are the held-out test set. The published result is accuracy.
MathVista (testmini)
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| GPT-5.2OpenAI, released 2025-12-11 | 83.1% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15; printed on 1 more page | - |
| GPT-5 miniOpenAI, released 2025-08-07 | 79.1% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| Claude Opus 4.5Anthropic, released 2025-11-24 | 80% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15; printed on 1 more page | - |
| Claude Sonnet 4.5Anthropic, released 2025-09-29 | 79.8% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| Gemma 4 26B A4BGoogle, released 2026-04-02 | 79.4% | Alibaba, Qwen3.6-35B-A3B model cardchecked 2026-10-15 | - |
| Gemma 4 31BGoogle, released 2026-04-02 | 79.3% | Alibaba, Qwen3.6-27B model cardchecked 2026-10-15; printed on 1 more page | - |
| Gemini 3 ProGoogle, released 2025-11-18 | 87.9% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15; printed on 1 more page | - |
| Gemma 3 12BGoogle, released 2025-03-12 | 57.4% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Harness: VLMEvalKit |
| Llama 4 MaverickMeta, released 2025-04-05 | 73.7% | Meta, Meta Llama 4 model cardchecked 2026-10-15 | - |
| Llama 4 ScoutMeta, released 2025-04-05 | 70.7% | Meta, Meta Llama 4 model cardchecked 2026-10-15 | - |
| Qwen3.6-27BAlibaba, released 2026-04-22 | 87.4% | Alibaba, Qwen3.6-27B model cardchecked 2026-10-15 | - |
| Qwen3.6-35B-A3BAlibaba, released 2026-04-16 | 86.4% | Alibaba, Qwen3.6-35B-A3B model cardchecked 2026-10-15; printed on 1 more page | - |
| Qwen3.5-122B-A10BAlibaba, released 2026-02-24 | 87.4% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15 | - |
| Qwen3.5-27BAlibaba, released 2026-02-24 | 87.8% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 2 more pages | - |
| Qwen3.5-35B-A3BAlibaba, released 2026-02-24 | 86.2% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| Qwen3.5-397B-A17BAlibaba, released 2026-02-16 | 90.3% | Alibaba, Qwen3.5-397B-A17B model cardchecked 2026-10-15 | - |
| Qwen3-VL-32B-InstructAlibaba, released 2025-10-21 | 81.8% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Harness: VLMEvalKit; Context: 32768 |
| 82.5% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Harness: VLMEvalKit; Context: 4096 | |
| Qwen3-VL-32B-ThinkingAlibaba, released 2025-10-21 | 83.9% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Effort: thinking; Harness: VLMEvalKit; Context: 4096 |
| 83.8% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Effort: thinking; Harness: VLMEvalKit; Context: 40960 | |
| Qwen3-VL-8B-InstructAlibaba, released 2025-10-15 | 77.1% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Harness: VLMEvalKit; Context: 4096 |
| 76.4% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Harness: VLMEvalKit; Context: 32768 | |
| Qwen3-VL-8B-ThinkingAlibaba, released 2025-10-15 | 79.5% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Effort: thinking; Harness: VLMEvalKit; Context: 40960 |
| 77.7% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Effort: thinking; Harness: VLMEvalKit; Context: 4096 | |
| Qwen3-VL-235B-A22BAlibaba, released 2025-09-23 | 85.8% | Alibaba, Qwen3.5-122B-A10B model cardchecked 2026-10-15; printed on 1 more page | - |
| Qwen3-VL-235B-A22B-ThinkingAlibaba, released 2025-09-23 | 85.8% | Moonshot AI, Kimi K2.5 model cardchecked 2026-10-15 | Tools: none |
| Kimi K2.5Moonshot AI, released 2026-01-27 | 90.1% | Moonshot AI, Kimi K2.5 model cardchecked 2026-10-15; printed on 1 more page | Tools: none |
| Kimi-VL-A3B-InstructMoonshot AI, released 2025-04-10 | 67.1% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Harness: VLMEvalKit |
| Kimi-VL-A3B-ThinkingMoonshot AI, released 2025-04-10 | 78.6% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Effort: thinking; Harness: VLMEvalKit |
| Phi-4-reasoning-vision-15BMicrosoft, released 2026-03-04 | 68.7% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Effort: force nothink; Harness: VLMEvalKit |
| 74.1% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Effort: force thinking; Harness: VLMEvalKit | |
| 75.2% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Harness: VLMEvalKit | |
| Phi-4-multimodal-instructMicrosoft, released 2025-02-26 | 50.5% | Microsoft, Microsoft Phi-4-reasoning-vision-15B model cardchecked 2026-10-15 | Harness: VLMEvalKit |
Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.