Kimi K1.5 8B on MMMU: score, rank and what it means
Kimi K1.5 8B scores 61.0 on MMMU, placing it #420 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 8B 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 8B sits at #420 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 25.9 points. The median model in this index scores 70.0, which puts Kimi K1.5 8B below the midpoint.
Moonshot AI models average 68.9 on this benchmark. Kimi K1.5 8B is 7.9 points below that provider line, so it is a weaker result than the average Moonshot AI model.
Among small open-weight models, the average is 52.4. Kimi K1.5 8B is 8.6 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 61.0 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 $1.54 per million input tokens, Kimi K1.5 8B is below 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 |
|---|---|---|---|---|
| ERNIE 4.5 Nano | Baidu | 32768 | $6.01 | 65.6 |
| DeepSeek-V3.2 7B | DeepSeek | 4096 | $1.75 | 63.2 |
| Sonar Pro Nano | Perplexity | 32768 | $5.50 | 66.1 |
| Firesearch Mini | Fireworks AI | 32768 | $3.94 | 61.5 |
| Kimi K1.5 8B | Moonshot AI | 8192 | $1.54 | 62.2 |
| StableLM 2 Chat | Stability AI | 8192 | $1.79 | 64.6 |
| Zephyr Instruct | Hugging Face | 4096 | $1.66 | 62.4 |
Other benchmarks for Kimi K1.5 8B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 68.1 | 415 | 31th | |
| GPQA Diamond | 59.2 | 413 | 31th | |
| SWE-bench Verified | 45.6 | 456 | 24th | |
| HumanEval | 66.1 | 429 | 29th | |
| MATH-500 | 62.1 | 443 | 26th | |
| AIME 2025 | 54.4 | 417 | 31th | |
| LiveCodeBench | 52.1 | 428 | 29th | |
| IFEval | 72.6 | 422 | 30th | |
| TruthfulQA | 66.9 | 431 | 28th | |
| HellaSwag | 76.2 | 424 | 29th | |
| Arena Elo | 1300.8 | 420 | 30th |
FAQ
What score does Kimi K1.5 8B get on MMMU?
Kimi K1.5 8B scores 61.0 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Kimi K1.5 8B rank on MMMU?
It ranks #420 of 600 models, in the 30th percentile. The leader is GPT-5.2 Max at 86.9.
Is Kimi K1.5 8B good at MMMU?
It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 8B cost?
Kimi K1.5 8B costs $1.54 per million input tokens and $5.98 per million output tokens.