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Best for math

Ranked by Epoch's mock AIME 2024-2025 (competition mathematics).

Ranked by Epoch's mock AIME 2024-2025 (competition mathematics). Source: Epoch AI. Variants (reasoning effort, batch) are folded into one row.

#ModelCapabilityReasoningCodingContext$/M
51Gemma 3 12BGoogle123.539.5—131K$0.075
52DeepSeek V3DeepSeek132.456.5—164K$0.45
53Phi 4Microsoft130.456.1—16K$0.087
54Llama 3.1-405BMeta128.850.9———
55Mistral Large 2 (Jul 2024)Mistral AI127.549.0———
56Qwen2.5-72BAlibaba (Qwen)129.049.1———
57Qwen3-1.7BAlibaba (Qwen)—38.0———
58Llama 4 ScoutMeta129.651.8—1.31M$0.15
59Mistral Large 2 (Nov 2024)Mistral AI128.551.3———
60Gemma 3 4BGoogle116.023.2—131K$0.063
61Qwen2.5-32BAlibaba (Qwen)128.546.1———
62Mistral Small 3Mistral AI127.147.3—33K$0.058
63Mistral Small 3.1Mistral AI127.547.5———
64Llama 3.3 70BMeta127.347.4———
65Tulu 3 (Tülu 3) 70BAllen Institute for AI—46.3———
66Llama 3-70BMeta122.940.6———
67Llama 3.1-70BMeta125.944.2———
68Granite 4.0 MicroIBM—28.3—131K$0.041
69Llama 3.2 90BMeta125.541.0———
70Qwen2.5-7BAlibaba (Qwen)118.435.5———
71Hermes 2 Theta Llama-3 70BNous Research—37.5———
72Llama 3-8BMeta116.326.1———
73Llama 3.1-8BMeta116.527.0———
74Gemma 2 27BGoogle122.136.5—8K$0.65
75Gemma 3 1BGoogle—19.9———
76DeepSeek LLM 67BDeepSeek110.524.6———
77Gemma 2 9BGoogle119.827.5———
78Llama 3.2 1BMeta102.023.9———
79Mistral 7B v0.3Mistral AI108.715.2———
80Llama 2-70BMeta113.626.3———
— means no published score from that source yet · click a model for every benchmark with its source

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