Kimi K2 Base on MATH-500: score, rank and what it means
Kimi K2 Base scores 80.8 on MATH-500, placing it #194 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.
Score distribution
The chart shows the top 10 models on MATH-500, with Kimi K2 Base highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 3 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 4 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
| 5 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 6 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 7 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 8 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 9 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 10 | Claude Opus 4.5 Turbo | Anthropic | 2000000 | $19.57 | 85.7 |
What this score means
On MATH-500, Kimi K2 Base sits at #194 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 15.9 points. The median model in this index scores 76.0, which puts Kimi K2 Base above the midpoint.
Moonshot AI models average 74.0 on this benchmark. Kimi K2 Base is 6.8 points above that provider line, so it is a stronger result than the average Moonshot AI model.
Among multimodal models, the average is 81.3. Kimi K2 Base is 0.5 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 80.8 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.
Price context
At $4.82 per million input tokens, Kimi K2 Base is above the median input price of $4.00 across the 600 models scored on MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Nova Pro Turbo | Amazon | 128000 | $13.18 | 78.4 |
| Reka Core Turbo | Reka AI | 32768 | $12.58 | 78.4 |
| Llama 4 Scout | Meta AI | 200000 | $4.90 | 79.3 |
| Llama 3.1 Cerebras Instruct | Cerebras | 65536 | $4.11 | 76.1 |
| Kimi K2 Base | Moonshot AI | 65536 | $4.82 | 79.2 |
| MiniMax-Text Instruct | MiniMax | 128000 | $4.59 | 77.7 |
| Sonar Pro | Perplexity | 128000 | $13.01 | 79.1 |
Other benchmarks for Kimi K2 Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 81.8 | 126 | 79th | |
| GPQA Diamond | 76.1 | 120 | 80th | |
| SWE-bench Verified | 70.2 | 106 | 82th | |
| HumanEval | 84.9 | 121 | 80th | |
| AIME 2025 | 75.3 | 149 | 75th | |
| LiveCodeBench | 69.9 | 192 | 68th | |
| IFEval | 86.8 | 139 | 77th | |
| TruthfulQA | 83.2 | 104 | 83th | |
| HellaSwag | 88.5 | 124 | 79th | |
| MMMU | 73.5 | 204 | 66th | |
| Arena Elo | 1432.3 | 116 | 81th |
FAQ
What score does Kimi K2 Base get on MATH-500?
Kimi K2 Base scores 80.8 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.
How does Kimi K2 Base rank on MATH-500?
It ranks #194 of 600 models, in the 68th percentile. The leader is GPT-5.2 Max at 96.7.
Is Kimi K2 Base good at MATH-500?
Yes, relative to the index: it is above the median and inside the top half of scores. The result should be read alongside its price and context window.
How is the MATH-500 score calculated?
MATH-500 is a mathematics benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.
What does Kimi K2 Base cost?
Kimi K2 Base costs $4.82 per million input tokens and $16.90 per million output tokens.