Kimi K1.5 Base on MMMU: score, rank and what it means
Kimi K1.5 Base scores 76.3 on MMMU, placing it #133 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.
Score distribution
The chart shows the top 10 models on MMMU, with Kimi K1.5 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-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 4 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 5 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 6 | Grok 4 Pro | xAI | 1000000 | $19.00 | 85.4 |
| 7 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 8 | Claude Sonnet 4.5 Pro | Anthropic | 1000000 | $18.73 | 86.7 |
| 9 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 10 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
What this score means
On MMMU, Kimi K1.5 Base sits at #133 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 10.6 points. The median model in this index scores 70.0, which puts Kimi K1.5 Base above the midpoint.
Moonshot AI models average 68.9 on this benchmark. Kimi K1.5 Base is 7.4 points above that provider line, so it is a stronger result than the average Moonshot AI model.
Among multimodal models, the average is 74.3. Kimi K1.5 Base is 2.0 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 76.3 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 $4.34 per million input tokens, Kimi K1.5 Base is above the median input price of $4.00 across the 600 models scored on MMMU. 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 |
|---|---|---|---|---|
| Magistral Instruct | Mistral AI | 65536 | $4.48 | 78.4 |
| MiniMax-Text Chat | MiniMax | 128000 | $4.26 | 77.8 |
| Reka Core Pro | Reka AI | 65536 | $13.44 | 79.9 |
| GPT-4.1 | OpenAI | 1000000 | $15.71 | 82.4 |
| Kimi K1.5 Base | Moonshot AI | 65536 | $4.34 | 77.4 |
| Mistral Large 3 | Mistral AI | 128000 | $5.41 | 81.7 |
| Qwen3-Coder Chat | Alibaba Cloud | 128000 | $4.59 | 78.4 |
Other benchmarks for Kimi K1.5 Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 78.2 | 237 | 61th | |
| GPQA Diamond | 74.3 | 160 | 73th | |
| SWE-bench Verified | 67.3 | 162 | 73th | |
| HumanEval | 82.2 | 181 | 70th | |
| MATH-500 | 79.9 | 211 | 65th | |
| AIME 2025 | 72.9 | 204 | 66th | |
| LiveCodeBench | 67.0 | 250 | 58th | |
| IFEval | 86.0 | 157 | 74th | |
| TruthfulQA | 81.2 | 149 | 75th | |
| HellaSwag | 85.8 | 223 | 63th | |
| Arena Elo | 1397.5 | 216 | 64th |
FAQ
What score does Kimi K1.5 Base get on MMMU?
Kimi K1.5 Base scores 76.3 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Kimi K1.5 Base rank on MMMU?
It ranks #133 of 600 models, in the 78th percentile. The leader is GPT-5.2 Max at 86.9.
Is Kimi K1.5 Base good at MMMU?
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 MMMU score calculated?
MMMU is a multimodal 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 K1.5 Base cost?
Kimi K1.5 Base costs $4.34 per million input tokens and $15.70 per million output tokens.