The Math Ranking evaluates the mathematical rigor and quantitative reasoning capabilities of large language models. Rather than focusing on simple pattern recognition, these benchmarks test performance on formal proofs, competition-level Olympiad problems, multi-step algebra, and discrete mathematics, where accuracy and logical consistency are critical.
By aggregating standardized scores from various sources this leaderboard highlights the models that perform best in mathematical problem-solving, multi-step reasoning, and numerical accuracy.
Looking for a balanced model across all domains? Mathematical performance contributes 20% to the composite score. Visit the Overall LLM Ranking to see how top math models compare in coding, agentic capabilities, and broader logical reasoning.
| Rank | Model Name | Relative Quality | Score |
|---|---|---|---|
| 1 | Gemini 4 Argon |
|
97.26 |
| 2 | Claude Fable 5.1 |
|
96.87 |
| 3 | Claude Opus 5 |
|
95.07 |
| 4 | Claude Fable 5 |
|
94.61 |
| 5 | Claude Opus 5.5 |
|
94.32 |
| 6 | MiMo-V2.6-Pro |
|
93.57 |
| 7 | Muse Spark 1.2 |
|
92.95 |
| 8 | Muse Spark 1.1 |
|
92.31 |
| 9 | Qwen3.6 |
|
91.69 |
| 10 | Claude Sonnet 5.5 |
|
91.48 |
| 11 | GPT-5.5 |
|
90.74 |
| 12 | MiMo-V2.6-Flash |
|
90.60 |
| 13 | Muse Spark 1.3 |
|
90.52 |
| 14 | Gemini 3.8 Flash |
|
90.27 |
| 15 | GPT-6 Sol |
|
90.25 |
| 16 | Claude Opus 4.8 |
|
89.98 |
| 17 | GPT-6.1 Sol |
|
89.96 |
| 18 | Kimi K3 |
|
89.82 |
| 19 | Gemini 3.7 Flash |
|
89.73 |
| 20 | Muse Spark |
|
89.10 |
| 21 | Step 5 |
|
89.03 |
| 22 | Claude Opus 4.6 |
|
88.94 |
| 23 | GLM-5.3 |
|
88.79 |
| 24 | GPT-6 Astra |
|
88.58 |
| 25 | GPT-5.6 Sol |
|
88.53 |
| 26 | Claude Opus 4.7 |
|
88.33 |
| 27 | Qwen3.7 |
|
88.27 |
| 28 | Gemini 3 Pro |
|
88.00 |
| 29 | Muse Wonder |
|
87.62 |
| 30 | MiMo-V2-Pro |
|
87.62 |
| 31 | GPT-5.5 Pro |
|
87.50 |
| 32 | GPT-5.4 |
|
87.42 |
| 33 | Muse Glimmer |
|
87.15 |
| 34 | Kimi K2.5 |
|
87.06 |
| 35 | Gemini 3.1 Pro |
|
86.95 |
| 36 | GLM-5 |
|
86.68 |
| 37 | Grok-4.1 |
|
86.36 |
| 38 | Hy3 |
|
86.35 |
| 39 | GLM-5.2 |
|
86.11 |
| 40 | Hy4 |
|
86.03 |
| 41 | GPT-6 Luna |
|
85.85 |
| 42 | MiMo-V2.5 |
|
85.74 |
| 43 | GLM-5V-Turbo |
|
85.74 |
| 44 | GPT-5.6 Terra |
|
85.43 |
| 45 | Qwen3.8 |
|
85.40 |
| 46 | DeepSeek-V4-Pro |
|
85.25 |
| 47 | MiMo-V2-Omni |
|
85.11 |
| 48 | Gemini 3.6 Flash |
|
84.80 |
| 49 | Claude Sonnet 4.6 |
|
84.78 |
| 50 | DeepSeek-V4.1-Flash |
|
84.53 |
| 51 | Claude Sonnet 5 |
|
84.27 |
| 52 | GPT-5.2 |
|
83.91 |
| 53 | GLM-5.3-Flash |
|
83.87 |
| 54 | GPT-5.2 Pro |
|
83.78 |
| 55 | Kimi K2 |
|
83.53 |
| 56 | MiniMax M2.7 |
|
83.07 |
| 57 | Qwen3.5-122B-A10B |
|
82.98 |
| 58 | GPT-5.6 Luna |
|
82.40 |
| 59 | Kimi K2.6 |
|
82.36 |
| 60 | Qwen3.5-27B |
|
82.12 |
| 61 | GLM-4.7 |
|
82.04 |
| 62 | GPT-5.1 |
|
81.96 |
| 63 | Seed 2.0 Pro |
|
81.88 |
| 64 | DeepSeek-V4-Flash |
|
81.67 |
| 65 | Grok 4.6 |
|
81.26 |
| 66 | Qwen3.8-27B |
|
81.25 |
| 67 | Gemma 4 31B |
|
81.25 |
| 68 | Gemini 3 Flash |
|
81.14 |
| 69 | Grok 4.5 |
|
81.06 |
| 70 | Mistral Large 4 |
|
81.02 |
| 71 | Gemini 3.5 Flash |
|
80.91 |
| 72 | ChatGPT-4o |
|
80.41 |
| 73 | Step-3.5-Flash |
|
79.84 |
| 74 | ERNIE 5.0 |
|
79.76 |
| 75 | DeepSeek-V3.2 |
|
79.60 |
| 76 | Solar Pro 4 |
|
79.53 |
| 77 | DeepSeek V3.1 Terminus |
|
79.31 |
| 78 | Grok-4 |
|
79.29 |
| 79 | DeepSeek-V3.2-Speciale |
|
79.28 |
| 80 | LongCat-Flash |
|
79.21 |
| 81 | Mistral Medium 3.1 |
|
79.00 |
| 82 | MiMo-V2.5-Pro |
|
78.89 |
| 83 | MiniMax M2.5 |
|
78.68 |
| 84 | Qwen3.7-Plus |
|
78.56 |
| 85 | Qwen3 235B A22B |
|
78.51 |
| 86 | Qwen3.5-35B-A3B |
|
78.27 |
| 87 | Qwen3.6 Plus |
|
78.24 |
| 88 | Gemma 4 26B-A4B |
|
77.95 |
| 89 | Qwen3.8-Flash-Next |
|
77.24 |
| 90 | Trinity Large |
|
77.12 |
| 91 | Qwen3.8 Flash |
|
77.08 |
| 92 | Qwen3 VL 235B A22B |
|
76.62 |
| 93 | Grok 4.7 |
|
76.53 |
| 94 | Inkling-Small |
|
76.33 |
| 95 | Qwen3-Coder 480B A35B |
|
76.02 |
| 96 | Grok-4.20 |
|
75.95 |
| 97 | Grok 4 Fast |
|
75.92 |
| 98 | GPT-5 |
|
75.88 |
| 99 | GLM-5.1 |
|
75.62 |
| 100 | INTELLECT-3 |
|
75.55 |