Best AI Models for Math
A math-focused composite built from arithmetic, competition-style, and frontier math benchmarks. Saturated benchmarks are useful, but coverage across harder tests gets clearer confidence.
DeepSeek V4 Pro
DeepSeek
GPT-5.4 Pro
OpenAI
Qwen3.7 Max
Alibaba Qwen
Ranked model table
Scores are based on the visible benchmark set and available metadata.
| Rank | Model | Score | Evidence | Input price | Context |
|---|---|---|---|---|---|
| #1 | DeepSeek V4 Pro DeepSeek | 88.5 | 2 benchmarks · Medium | $0.96/M | 1.0M |
| #2 | GPT-5.4 Pro OpenAI | 84.6 | 2 benchmarks · Medium | $30/M | 1.1M |
| #3 | Qwen3.7 Max Alibaba Qwen | 83.5 | 2 benchmarks · Medium | $1.48/M | 1M |
| #4 | GLM 5.2 z-ai | 83.1 | 2 benchmarks · Medium | $0.02/M | 1.0M |
| #5 | Grok 4.3 xAI | 81.8 | 2 benchmarks · Medium | $1.25/M | 1M |
| #6 | Claude Opus 4.8 Anthropic | 81.3 | 3 benchmarks · Medium | $5.00/M | 1M |
| #7 | Kimi K2.7 Code moonshotai | 78.9 | 2 benchmarks · Medium | $0.67/M | 262K |
| #8 | GPT-5.4 OpenAI | 77.7 | 3 benchmarks · Medium | $2.50/M | 1.1M |
| #9 | Qwen3 Max Alibaba Qwen | 77.4 | 2 benchmarks · Medium | $0.78/M | 262K |
| #10 | Qwen3.6 27B Alibaba Qwen | 77.1 | 2 benchmarks · Medium | $0.32/M | 262K |
| #11 | R1 0528 DeepSeek | 74.1 | 2 benchmarks · Medium | $0.50/M | 164K |
| #12 | GPT-5.1 OpenAI | 73.2 | 3 benchmarks · Medium | $1.25/M | 400K |
Math scores depend heavily on benchmark format. Use the linked benchmark pages before choosing a model for high-stakes mathematical work.
BenchGecko ranks models from published benchmark scores and model metadata. Scores do not measure every use case, and missing data can affect rankings.
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Coding models ranked from published coding benchmark scores, listed prices, and model metadata tracked by BenchGecko.
Best Open-weight AI Models
Open-weight AI models ranked from available benchmark data, coverage confidence, pricing metadata, and listed license signals.
Questions
Which benchmarks are used for math rankings?
This page uses GSM8K, MATH-level tasks, AIME-style tasks, and FrontierMath when those scores are available.
Why show confidence labels?
A model with two math scores is less proven than a model with broader evidence. Confidence labels make that coverage visible.
Can this ranking replace manual math validation?
No. Use it as a benchmark-backed shortlist, then validate models on your own problem set.