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 Carbon |
|
98.91 |
| 2 | Gemini 4 Argon |
|
97.26 |
| 3 | GPT-6.1 Terra |
|
97.01 |
| 4 | Claude Fable 5.1 |
|
97.00 |
| 5 | Claude Opus 5 |
|
94.96 |
| 6 | Claude Opus 5.5 |
|
94.90 |
| 7 | Claude Fable 5 |
|
94.32 |
| 8 | Muse Spark 1.2 |
|
93.76 |
| 9 | MiMo-V2.6-Pro |
|
93.45 |
| 10 | Muse Spark 1.1 |
|
92.18 |
| 11 | Claude Sonnet 5.5 |
|
91.51 |
| 12 | Muse Wonder |
|
91.40 |
| 13 | Muse Spark 1.3 |
|
90.64 |
| 14 | GPT-6.1 Sol |
|
90.55 |
| 15 | GPT-5.5 |
|
90.51 |
| 16 | Gemini 3.8 Flash |
|
90.17 |
| 17 | GPT-6 Sol |
|
89.88 |
| 18 | Kimi K3 |
|
89.85 |
| 19 | Claude Opus 4.8 |
|
89.82 |
| 20 | Step 5 |
|
89.70 |
| 21 | MiMo-V2.6-Flash |
|
89.24 |
| 22 | GLM-5.3 |
|
89.12 |
| 23 | Gemini 3.7 Flash |
|
89.12 |
| 24 | Muse Spark |
|
89.06 |
| 25 | Claude Opus 4.6 |
|
88.64 |
| 26 | Claude Opus 4.7 |
|
88.17 |
| 27 | GPT-5.6 Sol |
|
88.13 |
| 28 | GPT-6 Astra |
|
88.05 |
| 29 | Qwen3.7 |
|
87.66 |
| 30 | Gemini 3 Pro |
|
87.65 |
| 31 | GPT-5.5 Pro |
|
87.64 |
| 32 | MiMo-V2-Pro |
|
87.36 |
| 33 | GPT-5.4 |
|
87.21 |
| 34 | Gemini 3.1 Pro |
|
86.85 |
| 35 | Kimi K2.5 |
|
86.63 |
| 36 | Hy3 |
|
86.40 |
| 37 | GLM-5 |
|
86.27 |
| 38 | Muse Glimmer |
|
86.27 |
| 39 | GLM-5.2 |
|
86.01 |
| 40 | Grok-4.1 |
|
85.96 |
| 41 | Kimi K3.1 Pro |
|
85.92 |
| 42 | GPT-6 Luna |
|
85.89 |
| 43 | Hy4 |
|
85.60 |
| 44 | DeepSeek-V4.1-Flash |
|
85.38 |
| 45 | MiMo-V2.5 |
|
85.34 |
| 46 | GLM-5V-Turbo |
|
85.34 |
| 47 | GPT-5.6 Terra |
|
85.10 |
| 48 | Qwen3.8 |
|
85.00 |
| 49 | DeepSeek-V4-Pro |
|
84.98 |
| 50 | MiMo-V2-Omni |
|
84.71 |
| 51 | Gemini 3.6 Flash |
|
84.60 |
| 52 | Claude Sonnet 4.6 |
|
84.45 |
| 53 | Claude Sonnet 5 |
|
84.31 |
| 54 | GLM-5.3-Flash |
|
83.72 |
| 55 | GPT-5.2 Pro |
|
83.71 |
| 56 | GPT-5.2 |
|
83.63 |
| 57 | Kimi K2 |
|
83.28 |
| 58 | MiniMax M2.7 |
|
82.84 |
| 59 | Qwen3.5-122B-A10B |
|
82.65 |
| 60 | GPT-5.6 Luna |
|
82.07 |
| 61 | Kimi K2.6 |
|
82.02 |
| 62 | GLM-4.7 |
|
81.72 |
| 63 | GPT-5.1 |
|
81.71 |
| 64 | Qwen3.5-27B |
|
81.64 |
| 65 | DeepSeek-V4-Flash |
|
81.40 |
| 66 | Seed 2.0 Pro |
|
81.32 |
| 67 | Gemini 3 Flash |
|
80.92 |
| 68 | Grok 4.6 |
|
80.89 |
| 69 | Grok 4.5 |
|
80.78 |
| 70 | Gemini 3.5 Flash |
|
80.77 |
| 71 | Gemma 4 31B |
|
80.77 |
| 72 | Beam 1.0 |
|
80.44 |
| 73 | Qwen3.8-27B |
|
80.38 |
| 74 | ChatGPT-4o |
|
79.88 |
| 75 | Step-3.5-Flash |
|
79.61 |
| 76 | ERNIE 5.0 |
|
79.52 |
| 77 | DeepSeek-V3.2 |
|
79.29 |
| 78 | Claude Haiku 5.5 |
|
79.08 |
| 79 | Grok-4 |
|
79.06 |
| 80 | DeepSeek V3.1 Terminus |
|
78.94 |
| 81 | LongCat-Flash |
|
78.90 |
| 82 | Mistral Medium 3.1 |
|
78.63 |
| 83 | Solar Pro 4 |
|
78.59 |
| 84 | MiMo-V2.5-Pro |
|
78.49 |
| 85 | MiniMax M2.5 |
|
78.32 |
| 86 | Qwen3.7-Plus |
|
78.22 |
| 87 | Qwen3 235B A22B |
|
78.20 |
| 88 | Qwen3.5-35B-A3B |
|
77.89 |
| 89 | Qwen3.6 Plus |
|
77.78 |
| 90 | Gemma 4 26B-A4B |
|
77.56 |
| 91 | Trinity Large |
|
76.76 |
| 92 | Qwen3.8-Flash-Next |
|
76.37 |
| 93 | Muse Spark Open |
|
76.27 |
| 94 | Grok 4.7 |
|
76.26 |
| 95 | Qwen3 VL 235B A22B |
|
76.24 |
| 96 | Grok-4.20 |
|
75.67 |
| 97 | Qwen3-Coder 480B A35B |
|
75.66 |
| 98 | GPT-5 |
|
75.63 |
| 99 | Grok 4 Fast |
|
75.53 |
| 100 | Inkling-Small |
|
75.44 |