The best AI models for mathematics, ranked by quality with a bonus for chain-of-thought reasoning. Models with reasoning capabilities dramatically outperform standard models on algebra, calculus, statistics, and multi-step proofs.
| # | Model | Score | Reasoning |
|---|---|---|---|
| 1 | Claude Opus 4.7Anthropic | 95 | |
| 2 | GPT-5.5OpenAI | 93 | |
| 3 | Gemini 3.1 Pro Preview Custom ToolsGoogle | 92 | |
| 4 | Gemini 3.1 Pro PreviewGoogle | 92 | |
| 5 | GPT-5.4 ProOpenAI | 92 | |
| 6 | GPT-5.4OpenAI | 92 | |
| 7 | GPT-5.5 ProOpenAI | 91 | |
| 8 | GPT-5.2 ProOpenAI | 91 | |
| 9 | Claude Opus 4.6 (Fast)Anthropic | 90 | |
| 10 | Claude Opus 4.6Anthropic | 90 | |
| 11 | GPT-5.2-CodexOpenAI | 90 | |
| 12 | GPT-5.2OpenAI | 90 | |
| 13 | Grok 4.20xAI | 89 | |
| 14 | GPT-5.3-CodexOpenAI | 89 | |
| 15 | GPT-5 ProOpenAI | 89 | |
| 16 | Gemini 3 Flash PreviewGoogle | 88 | |
| 17 | Grok 4xAI | 88 | |
| 18 | Grok 4.20 Multi-AgentxAI | 88 | |
| 19 | GPT-5.1-Codex-MaxOpenAI | 88 | |
| 20 | GPT-5 CodexOpenAI | 88 | |
| 21 | GPT-5OpenAI | 88 | |
| 22 | GPT-5.1OpenAI | 87 | |
| 23 | GPT-5.1-CodexOpenAI | 87 | |
| 24 | GPT-5.1-Codex-MiniOpenAI | 87 | |
| 25 | DeepSeek V4 ProDeepSeek | 87 | |
| 26 | o3 Deep ResearchOpenAI | 87 | |
| 27 | o3 ProOpenAI | 87 | |
| 28 | o3OpenAI | 87 | |
| 29 | Claude Sonnet 4.6Anthropic | 85 | |
| 30 | Claude Opus 4.5Anthropic | 85 |
Models with reasoning break down math problems step-by-step, dramatically reducing errors on multi-step calculations, algebraic manipulation, and proofs.
Standard models often make arithmetic and logical errors on complex problems. Reasoning models like o1 and DeepSeek R1 "think before answering," achieving much higher accuracy.
For homework help and learning, reasoning models show their work - making them excellent tutors. Free options like DeepSeek R1 variants provide accessible math assistance.
For statistics, financial modeling, and scientific computing, premium reasoning models offer the highest accuracy. Pair with function calling to run actual calculations.
Models with dedicated reasoning capabilities (like o3, DeepSeek R1, and Claude with extended thinking) significantly outperform standard models on competition-level math. They construct step-by-step proofs and catch their own errors through chain-of-thought verification.
Top reasoning models construct and verify mathematical proofs for undergraduate-level problems reliably. For research-level mathematics, they serve as proof assistants - suggesting approaches and checking steps. Models score 60-80% on MATH benchmark problems requiring formal reasoning.
Wolfram Alpha excels at computational precision and symbolic algebra with guaranteed correctness. AI models handle word problems, proof construction, and mathematical reasoning better. The ideal setup combines both: AI for problem interpretation and strategy, Wolfram for verified computation.
Models with reasoning capabilities explain solutions step-by-step, adapting to student level. Claude and GPT-4o provide clear mathematical explanations with multiple solution approaches. For K-12 tutoring, models that show work and explain each step outperform those that just give answers.