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 |
|
100.00 |
| 2 | Gemini 3.8 Flash |
|
97.48 |
| 3 | Claude Fable 5.1 |
|
97.45 |
| 4 | Muse Spark 1.3 |
|
96.87 |
| 5 | Claude Opus 5 |
|
96.49 |
| 6 | Gemini 3.7 Flash |
|
96.15 |
| 7 | Claude Fable 5 |
|
95.98 |
| 8 | Claude Opus 5.5 |
|
94.89 |
| 9 | Gemini 3.6 Flash |
|
93.61 |
| 10 | Claude Opus 4.6 |
|
93.41 |
| 11 | Gemini 3.1 Pro |
|
93.14 |
| 12 | Muse Spark 1.2 |
|
93.06 |
| 13 | Claude Sonnet 5.5 |
|
92.97 |
| 14 | MiMo-V2.6-Pro |
|
92.94 |
| 15 | Claude Opus 4.7 |
|
92.57 |
| 16 | Claude Opus 4.8 |
|
92.42 |
| 17 | Qwen3.7 |
|
92.32 |
| 18 | GPT-5.5 |
|
92.31 |
| 19 | GLM-5.2 |
|
92.26 |
| 20 | Step 5 |
|
92.15 |
| 21 | GLM-5.3 |
|
92.12 |
| 22 | Grok 4.5 |
|
92.08 |
| 23 | Qwen3.6 |
|
91.84 |
| 24 | Muse Spark 1.1 |
|
91.76 |
| 25 | Kimi K3 |
|
91.65 |
| 26 | DeepSeek-V4-Pro |
|
91.33 |
| 27 | GPT-6 Sol |
|
91.18 |
| 28 | Grok 4.6 |
|
90.40 |
| 29 | GPT-5.4 |
|
90.30 |
| 30 | Grok-4.20 |
|
90.11 |
| 31 | Grok 4.7 |
|
90.10 |
| 32 | GPT-6.1 Sol |
|
89.78 |
| 33 | MiMo-V2.6-Flash |
|
89.64 |
| 34 | Claude Sonnet 5 |
|
89.55 |
| 35 | GPT-5.6 Sol |
|
89.53 |
| 36 | GPT-6 Luna |
|
89.40 |
| 37 | Qwen3.7-Plus |
|
89.37 |
| 38 | DeepSeek-V4.1-Flash |
|
89.31 |
| 39 | Muse Spark |
|
89.13 |
| 40 | Mistral Large 4 |
|
89.12 |
| 41 | Seed 2.1 Pro |
|
88.94 |
| 42 | GPT-5.2 |
|
88.92 |
| 43 | GPT-6 Astra |
|
88.77 |
| 44 | GLM-5.3-Flash |
|
88.46 |
| 45 | Gemini 3 Pro |
|
88.18 |
| 46 | Qwen3.8 |
|
88.14 |
| 47 | Gemini 3 Flash |
|
87.86 |
| 48 | Kimi K2.6 |
|
87.84 |
| 49 | MiMo-V2-Pro |
|
87.76 |
| 50 | DeepSeek-V4-Flash |
|
87.63 |
| 51 | Qwen3.6 Plus |
|
87.60 |
| 52 | Kimi K2.5 |
|
87.31 |
| 53 | Muse Glimmer |
|
87.28 |
| 54 | Hy3 |
|
86.99 |
| 55 | GPT-5.6 Terra |
|
86.93 |
| 56 | Hy4 |
|
86.89 |
| 57 | GLM-5 |
|
86.66 |
| 58 | Grok-4.1 |
|
86.50 |
| 59 | Claude Sonnet 4.6 |
|
85.88 |
| 60 | MiMo-V2.5 |
|
85.87 |
| 61 | GLM-5V-Turbo |
|
85.87 |
| 62 | Gemini 3.5 Flash |
|
85.86 |
| 63 | Qwen3.5-397B-A17B |
|
85.82 |
| 64 | Claude Opus 4.5 |
|
85.81 |
| 65 | MiMo-V2-Omni |
|
85.09 |
| 66 | GLM-5.1 |
|
84.86 |
| 67 | Grok 4.3 |
|
84.20 |
| 68 | Kimi K2 |
|
84.02 |
| 69 | Inkling |
|
83.63 |
| 70 | Inkling-Small |
|
83.61 |
| 71 | Qwen3.5-122B-A10B |
|
83.30 |
| 72 | MiniMax M2.7 |
|
83.20 |
| 73 | Grok 4.1 Fast |
|
83.20 |
| 74 | GPT-5.6 Luna |
|
83.00 |
| 75 | Gemini 3.5 Flash-Lite |
|
82.97 |
| 76 | Qwen3.8-27B |
|
82.87 |
| 77 | Qwen3.5-27B |
|
82.36 |
| 78 | GPT-5.1 |
|
82.26 |
| 79 | GLM-4.7 |
|
82.12 |
| 80 | Seed 2.0 Pro |
|
82.11 |
| 81 | Gemma 4 31B |
|
81.55 |
| 82 | Qwen3.8-Flash-Next |
|
81.06 |
| 83 | Grok Build 0.1 |
|
80.74 |
| 84 | Qwen3.6-27B |
|
80.61 |
| 85 | ChatGPT-4o |
|
80.53 |
| 86 | Qwen3 |
|
80.46 |
| 87 | GPT-5 |
|
80.46 |
| 88 | Step-3.5-Flash |
|
80.23 |
| 89 | ERNIE 5.0 |
|
80.06 |
| 90 | DeepSeek-V3.2 |
|
79.91 |
| 91 | DeepSeek-V3.2-Speciale |
|
79.78 |
| 92 | LongCat-Flash |
|
79.67 |
| 93 | Grok-4 |
|
79.59 |
| 94 | DeepSeek V3.1 Terminus |
|
79.43 |
| 95 | MiMo-V2.5-Pro |
|
79.17 |
| 96 | Mistral |
|
79.12 |
| 97 | Qwen3 235B A22B |
|
78.89 |
| 98 | MiniMax M2.5 |
|
78.81 |
| 99 | Qwen3.5-35B-A3B |
|
78.50 |
| 100 | Gemma 4 26B-A4B |
|
78.23 |