MATH Leaderboard

High-school competition math problems. · Prices checked November 11, 2026

The MATH benchmark uses high-school competition problems that need multi-step symbolic working rather than recall. It separates models that can hold a chain of reasoning together from those that pattern-match toward an answer.

Leaderboard

60 of 150 scored

LeaderboardScores as published by each benchmark. Prices checked November 11, 2026.

o3 leads on MATH at 96%. The median across the 150 models we hold a score for is 73%. The cheapest model on this board is Phi-4 at $0.0910/M blended, scoring 80%.

#ModelProviderScoreInput /1MOutput /1MBlended 70/30Context
1o3OpenAI96%$2.00$8.00$3.80200,000
2GPT-5OpenAI95%$1.25$10.00$3.88400,000
3o3-miniOpenAI95%$1.10$4.40$2.09200,000
4DeepSeek-R1DeepSeek95%$0.5500$2.19$1.0464,000
5DeepSeek-R1-0528DeepSeek95%$0.5500$2.19$1.0464,000
6DeepSeek-R1 (Groq)Groq95%$0.7500$0.9900$0.8220128,000
7DeepSeek-R1 (Together)Together AI95%$3.00$7.00$4.2064,000
8DeepSeek-R1 (fw)Fireworks AI95%$3.00$8.00$4.5064,000
9DeepSeek-R1 (DI)DeepInfra95%$0.5500$2.19$1.0464,000
10DeepSeek-R1 (Cerebras)Cerebras95%$0.5500$0.9900$0.682064,000
11o4-miniOpenAI94%$1.10$4.40$2.09200,000
12o1OpenAI94%$15.00$60.00$28.50200,000
13Gemini 2.5 ProGoogle93%$1.25$10.00$3.881,000,000
14Claude Opus 4.6Anthropic92%$5.00$25.00$11.001,000,000
15DeepSeek-R1-Distill-70BDeepSeek92%$0.3500$0.8800$0.5090128,000
16Sonar Reasoning ProPerplexity92%$2.00$8.00$3.80127,000
17DeepSeek-V3-0324DeepSeek91%$0.2900$1.14$0.5450128,000
18DeepSeek-R1-Distill-32BDeepSeek90%$0.2000$0.5000$0.2900128,000
19QwQ-32BQwen90%$0.6000$2.40$1.14131,000
20Claude Sonnet 4.6Anthropic89%$3.00$15.00$6.601,000,000
21Grok 3xAI89%$3.00$15.00$6.60131,000
22Grok 3 FastxAI89%$5.00$25.00$11.00131,000
23Claude Opus 4.5Anthropic88%$5.00$25.00$11.00200,000
24Sonar Deep ResearchPerplexity88%$2.00$8.00$3.80127,000
25GPT-4.1OpenAI87%$2.00$8.00$3.801,000,000
26Gemini 2.5 FlashGoogle87%$0.3000$2.50$0.96001,000,000
27Claude Sonnet 4.5Anthropic86%$3.00$15.00$6.60200,000
28Gemini 1.5 ProGoogle86%$1.25$5.00$2.382,000,000
29Qwen2.5-MaxQwen85%$1.60$6.40$3.0432,000
30Claude Sonnet 3.7Anthropic84%$3.00$15.00$6.60200,000
31DeepSeek-R1-Distill-14BDeepSeek84%$0.1000$0.3500$0.1750128,000
32Nova PremierAmazon84%$2.50$12.50$5.50300,000
33Sonar ReasoningPerplexity84%$1.00$5.00$2.20127,000
34Qwen2.5-72B (Groq)Groq83.1%$0.7900$0.7900$0.7900128,000
35Qwen2.5-72B (Together)Together AI83.1%$1.20$1.20$1.2032,000
36Qwen2.5-72B (fw)Fireworks AI83.1%$0.9000$0.9000$0.900032,000
37Qwen2.5-72B (DI)DeepInfra83.1%$0.3500$0.4000$0.3650128,000
38Qwen2.5-72B (Hyp)Hyperbolic83.1%$0.4000$0.4000$0.4000128,000
39Qwen2.5-72B-InstructQwen83.1%$0.3600$0.4000$0.3720128,000
40Qwen2.5-32B-InstructQwen83.1%$0.7000$0.7000$0.7000128,000
41Grok 3 minixAI81%$0.3000$0.5000$0.3600131,000
42Gemini 2.0 FlashGoogle80%$0.1000$0.4000$0.19001,000,000
43Sonar ProPerplexity80%$3.00$15.00$6.60200,000
44Llama-3.1-Nemotron-Ultra-253BNvidia80%$1.60$1.60$1.60128,000
45Phi-4Microsoft80%$0.0700$0.1400$0.091016,000
46Qwen2.5-14B-InstructQwen80%$0.3500$0.3500$0.3500128,000
47Claude Sonnet 3.5Anthropic78.3%$3.00$15.00$6.60200,000
48GPT-4.1 miniOpenAI78%$0.4000$1.60$0.76001,000,000
49Gemini 1.5 FlashGoogle78%$0.0750$0.3000$0.14251,000,000
50MiniMax-Text-01MiniMax78%$0.7000$2.80$1.331,000,000
51Llama 3.3 70BMeta77%$0.2300$0.4000$0.2810128,000
52Llama 3.3 70B (Groq)Groq77%$0.5900$0.7900$0.6500128,000
53Llama 3.3 70B (Together)Together AI77%$0.8800$0.8800$0.8800128,000
54Llama 3.3 70B (DI)DeepInfra77%$0.2300$0.4000$0.2810128,000
55Llama-3.3-70B (Cerebras)Cerebras77%$0.5900$0.9900$0.7100128,000
56Grok 2xAI76.1%$2.00$10.00$4.40131,000
57Grok 2 VisionxAI76.1%$2.00$10.00$4.4032,000
58Nova ProAmazon76%$0.8000$3.20$1.52300,000
59GPT-4oOpenAI75.9%$2.50$10.00$4.75128,000
60Qwen2.5-7B-InstructQwen75.5%$0.1000$0.1000$0.1000128,000

18 of the 60 scores shown link to the page they were read on (underlined; hover for publisher, variant and date read). The rest have no recorded source yet and are being worked through.

About these scores

  • High-school competition math problems.
  • Scores are as published by the model’s provider or a public leaderboard. Provider-reported figures are self-reported and are not independently re-run by us.
  • Where a hosted variant of an open-weights model has no score of its own, it inherits the base model’s, because the weights are the same.
  • Prices beside each score are the provider’s published token rates. How the blended rate is calculated.

Showing the top 60 of 150 models we hold a MATH score for.

Frequently asked questions

What is the MATH benchmark?

A set of competition mathematics problems spanning algebra, geometry, number theory and precalculus. Each requires a worked solution rather than a lookup, and grading checks the final answer, so partial reasoning that lands on the wrong result scores nothing.

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Rankings that weigh price too

Leaderboards are recomputed on every deploy from the catalogue. Prices checked November 11, 2026.