Kimi K2 1.5B on MMLU-Pro: score, rank and what it means
Kimi K2 1.5B scores 60.5 on MMLU-Pro, placing it #521 of 600 models in the index. The benchmark average is 73.5 and the leader is GPT-5.2 Pro at 91.6.
Score distribution
The chart shows the top 10 models on MMLU-Pro, with Kimi K2 1.5B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 3 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 4 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 5 | Gemini 3 Pro Reasoning | Google DeepMind | 200000 | $19.69 | 87.5 |
| 6 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 7 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 8 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 9 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On MMLU-Pro, Kimi K2 1.5B sits at #521 of 600. The leader, GPT-5.2 Pro, scores 91.6, so the gap to the top is 31.1 points. The median model in this index scores 76.1, which puts Kimi K2 1.5B below the midpoint.
Moonshot AI models average 75.0 on this benchmark. Kimi K2 1.5B is 14.5 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 59.8. Kimi K2 1.5B is 0.7 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 60.5 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 $0.99 per million input tokens, Kimi K2 1.5B is below the median input price of $4.00 across the 600 models scored on MMLU-Pro. 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 |
|---|---|---|---|---|
| DBRX 7B | Databricks | 8192 | $0.65 | 51.9 |
| DeepSeek-R1 1.5B | DeepSeek | 16384 | $1.04 | 56.6 |
| Llama 3 Hyperbolic 7B | Hyperbolic | 4096 | $0.94 | 55.6 |
| Llama 3 Replicate 7B | Replicate | 32768 | $0.91 | 56.0 |
| Kimi K2 1.5B | Moonshot AI | 4096 | $0.99 | 56.8 |
| Llama 3 Replicate 8B | Replicate | 32768 | $1.00 | 57.0 |
| Nemotron 4 7B | NVIDIA | 16384 | $1.05 | 56.9 |
Other benchmarks for Kimi K2 1.5B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| GPQA Diamond | 55.4 | 458 | 24th | |
| SWE-bench Verified | 40.0 | 522 | 13th | |
| HumanEval | 62.7 | 462 | 23th | |
| MATH-500 | 58.8 | 480 | 20th | |
| AIME 2025 | 46.4 | 485 | 19th | |
| LiveCodeBench | 42.2 | 524 | 13th | |
| IFEval | 68.3 | 485 | 19th | |
| TruthfulQA | 61.5 | 512 | 15th | |
| HellaSwag | 71.9 | 501 | 17th | |
| MMMU | 57.3 | 465 | 23th | |
| Arena Elo | 1239.6 | 514 | 14th |
FAQ
What score does Kimi K2 1.5B get on MMLU-Pro?
Kimi K2 1.5B scores 60.5 on MMLU-Pro in this index. The benchmark average is 73.5 and the top score is 91.6.
How does Kimi K2 1.5B rank on MMLU-Pro?
It ranks #521 of 600 models, in the 13th percentile. The leader is GPT-5.2 Pro at 91.6.
Is Kimi K2 1.5B good at MMLU-Pro?
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 MMLU-Pro score calculated?
MMLU-Pro is a knowledge 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 1.5B cost?
Kimi K2 1.5B costs $0.99 per million input tokens and $5.06 per million output tokens.