math benchmark
MathVista evaluates the mathematical reasoning of foundation models in visual contexts using 6,141 examples.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelBY | Score90.70% | Percentile100.00% | Participants39 | EvidenceC | Evaluated |
| Rank02 | ModelBY | Score90.50% | Percentile97.37% | Participants39 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score86.80% | Percentile94.74% | Participants39 | EvidenceC | Evaluated |
| Rank04 | ModelOP | Score84.30% | Percentile92.11% | Participants39 | EvidenceC | Evaluated |
| Rank05 | ModelST | Score84.00% | Percentile89.47% | Participants39 | EvidenceC | Evaluated |
| Rank06 | ModelCO | Score80.60% | Percentile86.84% | Participants39 | EvidenceC | Evaluated |
| Rank07 | ModelMA | Score74.90% | Percentile84.21% | Participants39 | EvidenceC | Evaluated |
| Rank08 | ModelME | Score73.70% | Percentile81.58% | Participants39 | EvidenceC | Evaluated |
| Rank09 | ModelOP | Score73.10% | Percentile78.95% | Participants39 | EvidenceC | Evaluated |
| Rank10 | ModelOP | Score72.30% | Percentile76.32% | Participants39 | EvidenceC | Evaluated |
| Rank11 | ModelOP | Score72.20% | Percentile73.68% | Participants39 | EvidenceC | Evaluated |
| Rank12 | ModelOP | Score71.80% | Percentile71.05% | Participants39 | EvidenceC | Evaluated |
| Rank13 | ModelAC | Score71.40% | Percentile68.42% | Participants39 | EvidenceC | Evaluated |
| Rank14 | ModelME | Score70.70% | Percentile65.79% | Participants39 | EvidenceC | Evaluated |
| Rank15 | ModelMA | Score69.40% | Percentile63.16% | Participants39 | EvidenceC | Evaluated |
| Rank16 | ModelXA | Score69.00% | Percentile60.53% | Participants39 | EvidenceC | Evaluated |
| Rank17 | ModelGO | Score68.10% | Percentile57.89% | Participants39 | EvidenceC | Evaluated |
| Rank18 | ModelXA | Score68.10% | Percentile55.26% | Participants39 | EvidenceC | Evaluated |
| Rank19 | ModelAC | Score67.90% | Percentile52.63% | Participants39 | EvidenceC | Evaluated |
| Rank20 | ModelAN | Score67.70% | Percentile50.00% | Participants39 | EvidenceC | Evaluated |
| Rank21 | ModelMA | Score67.09% | Percentile47.37% | Participants39 | EvidenceC | Evaluated |
| Rank22 | ModelGO | Score65.80% | Percentile44.74% | Participants39 | EvidenceC | Evaluated |
| Rank23 | ModelOP | Score63.80% | Percentile42.11% | Participants39 | EvidenceC | Evaluated |
| Rank24 | ModelDE | Score62.80% | Percentile39.47% | Participants39 | EvidenceC | Evaluated |
| Rank25 | ModelMI | Score62.40% | Percentile36.84% | Participants39 | EvidenceC | Evaluated |
| Rank26 | ModelOP | Score61.40% | Percentile34.21% | Participants39 | EvidenceC | Evaluated |
| Rank27 | ModelDE | Score60.70% | Percentile31.58% | Participants39 | EvidenceC | Evaluated |
| Rank28 | ModelMA | Score58.00% | Percentile28.95% | Participants39 | EvidenceC | Evaluated |
| Rank29 | ModelME | Score57.30% | Percentile26.32% | Participants39 | EvidenceC | Evaluated |
| Rank30 | ModelOP | Score56.70% | Percentile23.68% | Participants39 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What MathVista measures and how its scores work.
MathVista is a benchmark comprising 6,141 examples derived from 28 existing multimodal datasets and three newly created datasets: IQTest, FunctionQA, and PaperQA.
It measures models' ability to understand complex figures and perform rigorous reasoning across diverse mathematical and visual tasks, reported as a Score ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about MathVista.
Seed 2.1 Pro is currently ranked first with 90.70%.
The current leaders are Seed 2.1 Pro (90.70%), Seed 2.1 Turbo (90.50%), and o3 (86.80%).
Qwen2.5-Omni-7B has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
The fastest matched records are Llama 4 Scout (776.10 tok/s via Groq), GPT-4.1 mini (467.39 tok/s via OpenAI), and Llama 4 Maverick (307.30 tok/s via Groq).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures models' ability to understand complex figures and perform rigorous reasoning across diverse mathematical and visual tasks, reported as a Score ratio.
Yes. Higher values rank better for this benchmark.
39 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis mathvista AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Seed 2.1 Pro currently leads MathVista with 90.70%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.