GPQA Leaderboard

Graduate-level science questions, "Google-proof". · Prices checked November 11, 2026

GPQA Diamond is a set of graduate-level questions in biology, physics and chemistry, written so that searching the web does not help. It isolates reasoning from recall, which makes it the cleanest signal we track for hard analytical work.

Leaderboard

60 of 128 scored

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

GPT-5.6 Sol leads on GPQA Diamond at 94.6%. The median across the 128 models we hold a score for is 50.15%. The cheapest model on this board is Phi-4 at $0.0910/M blended, scoring 56%.

#ModelProviderScoreInput /1MOutput /1MBlended 70/30Context
1GPT-5.6 SolOpenAI94.6%$4.00$20.00$8.801,050,000
2Claude Opus 4.8Anthropic93.6%$5.00$25.00$11.001,000,000
3GPT-5.6 TerraOpenAI92.9%$2.00$12.00$5.001,050,000
4GPT-5.6 LunaOpenAI92.3%$0.2000$1.20$0.50001,050,000
5Claude Opus 4.6Anthropic91.31%$5.00$25.00$11.001,000,000
6Claude Sonnet 4.6Anthropic89.9%$3.00$15.00$6.601,000,000
7Claude Opus 4.5Anthropic86.95%$5.00$25.00$11.00200,000
8Gemini 2.5 ProGoogle86.4%$1.25$10.00$3.881,000,000
9GPT-5OpenAI85.7%$1.25$10.00$3.88400,000
10Claude Sonnet 4.5Anthropic83.4%$3.00$15.00$6.60200,000
11o3OpenAI83.3%$2.00$8.00$3.80200,000
12Gemini 2.5 FlashGoogle82.8%$0.3000$2.50$0.96001,000,000
13o4-miniOpenAI81.4%$1.10$4.40$2.09200,000
14DeepSeek-R1-0528DeepSeek81%$0.5500$2.19$1.0464,000
15Claude Sonnet 3.7Anthropic78.2%$3.00$15.00$6.60200,000
16o1OpenAI75.7%$15.00$60.00$28.50200,000
17Grok 3xAI75.4%$3.00$15.00$6.60131,000
18Grok 3 FastxAI75.4%$5.00$25.00$11.00131,000
19o3-miniOpenAI74.9%$1.10$4.40$2.09200,000
20Claude Haiku 4.5Anthropic73%$1.00$5.00$2.20200,000
21DeepSeek-R1DeepSeek71.5%$0.5500$2.19$1.0464,000
22DeepSeek-R1 (Groq)Groq71.5%$0.7500$0.9900$0.8220128,000
23DeepSeek-R1 (Together)Together AI71.5%$3.00$7.00$4.2064,000
24DeepSeek-R1 (fw)Fireworks AI71.5%$3.00$8.00$4.5064,000
25DeepSeek-R1 (DI)DeepInfra71.5%$0.5500$2.19$1.0464,000
26DeepSeek-R1 (Cerebras)Cerebras71.5%$0.5500$0.9900$0.682064,000
27Sonar Reasoning ProPerplexity70%$2.00$8.00$3.80127,000
28Kimi k1.5Moonshot AI70%$2.50$10.00$4.75128,000
29Llama 4 MaverickMeta69.8%$0.3500$1.00$0.5450128,000
30DeepSeek-V3-0324DeepSeek68.4%$0.2900$1.14$0.5450128,000
31GPT-4.1OpenAI66.3%$2.00$8.00$3.801,000,000
32Grok 3 minixAI66.2%$0.3000$0.5000$0.3600131,000
33Gemini 2.0 FlashGoogle65.2%$0.1000$0.4000$0.19001,000,000
34DeepSeek-R1-Distill-70BDeepSeek65.2%$0.3500$0.8800$0.5090128,000
35Claude Sonnet 3.5Anthropic65%$3.00$15.00$6.60200,000
36GPT-4.1 miniOpenAI65%$0.4000$1.60$0.76001,000,000
37Sonar Deep ResearchPerplexity65%$2.00$8.00$3.80127,000
38QwQ-32BQwen65%$0.6000$2.40$1.14131,000
39DeepSeek-R1-Distill-32BDeepSeek62.1%$0.2000$0.5000$0.2900128,000
40Nova PremierAmazon60%$2.50$12.50$5.50300,000
41Sonar ProPerplexity60%$3.00$15.00$6.60200,000
42Sonar ReasoningPerplexity60%$1.00$5.00$2.20127,000
43Llama-3.1-Nemotron-Ultra-253BNvidia60%$1.60$1.60$1.60128,000
44Qwen2.5-MaxQwen60%$1.60$6.40$3.0432,000
45DeepSeek-V3DeepSeek59.1%$0.3200$0.8900$0.491064,000
46DeepSeek-R1-Distill-14BDeepSeek59.1%$0.1000$0.3500$0.1750128,000
47Gemini 1.5 ProGoogle58.1%$1.25$5.00$2.382,000,000
48Llama 4 ScoutMeta57.2%$0.1000$0.3000$0.1600512,000
49Grok 2xAI56%$2.00$10.00$4.40131,000
50Grok 2 VisionxAI56%$2.00$10.00$4.4032,000
51Phi-4Microsoft56%$0.0700$0.1400$0.091016,000
52GPT-4oOpenAI53.1%$2.50$10.00$4.75128,000
53Command ACohere53%$2.50$10.00$4.75256,000
54Mistral Large 2Mistral52%$2.00$6.00$3.20128,000
55Mistral-Large-2 (NIM)Nvidia52%$2.00$6.00$3.20128,000
56GLM-4-PlusZhipu AI51%$7.00$7.00$7.00128,000
57GLM-4VZhipu AI51%$7.00$7.00$7.002,000
58Gemini 2.0 Flash LiteGoogle50.5%$0.0750$0.3000$0.14251,000,000
59Llama 3.3 70BMeta50.5%$0.2300$0.4000$0.2810128,000
60Llama 3.3 70B (Groq)Groq50.5%$0.5900$0.7900$0.6500128,000

45 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.

Reasoning models tend to lead this table, and they also tend to be the most expensive per token, because the internal chain of thought they generate before answering is billed as output.

About these scores

  • Graduate-level science questions, "Google-proof".
  • 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 128 models we hold a GPQA Diamond score for.

Frequently asked questions

What does GPQA measure?

Multi-step scientific reasoning at graduate level. The questions are deliberately "Google-proof": domain experts answer roughly two-thirds correctly even with unrestricted web access, so a high score reflects genuine reasoning rather than retrieval or memorisation.

Why do reasoning models score higher on GPQA?

They are trained to work through a problem step by step before answering, which is exactly what these questions require. That extra deliberation costs output tokens, so the models at the top of this table are usually also near the top of the price sheet.

Other leaderboards

Rankings that weigh price too

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