Kimi K2 1.5B on LiveCodeBench: score, rank and what it means
Kimi K2 1.5B scores 42.2 on LiveCodeBench, placing it #524 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.
Score distribution
The chart shows the top 10 models on LiveCodeBench, with Kimi K2 1.5B highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 2 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 3 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | Grok 4 Turbo | xAI | 1000000 | $19.21 | 86.7 |
| 6 | GPT-5.1 Turbo | OpenAI | 2000000 | $19.19 | 86.1 |
| 7 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 8 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 9 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 10 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
What this score means
On LiveCodeBench, Kimi K2 1.5B sits at #524 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 42.9 points. The median model in this index scores 64.7, which puts Kimi K2 1.5B below the midpoint.
Moonshot AI models average 62.5 on this benchmark. Kimi K2 1.5B is 20.3 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 41.2. Kimi K2 1.5B is 1.0 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 42.2 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 LiveCodeBench. 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 |
|---|---|---|---|---|
| Yi-Large 7B | 01.AI | 4096 | $0.83 | 55.0 |
| Llama 3 Baseten 7B | Baseten | 32768 | $0.87 | 55.3 |
| Llama 3 Modal 8B | Modal | 32768 | $0.98 | 56.6 |
| QwQ 1.5B | Alibaba Cloud | 32768 | $0.61 | 51.6 |
| Kimi K2 1.5B | Moonshot AI | 4096 | $0.99 | 56.8 |
| Llama 4 Maverick 1.5B | Meta AI | 8192 | $0.93 | 55.2 |
| Mixtral 8B | Mistral AI | 8192 | $0.91 | 55.4 |
Other benchmarks for Kimi K2 1.5B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 60.5 | 521 | 13th | |
| 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 | |
| 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 LiveCodeBench?
Kimi K2 1.5B scores 42.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Kimi K2 1.5B rank on LiveCodeBench?
It ranks #524 of 600 models, in the 13th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Kimi K2 1.5B good at LiveCodeBench?
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 LiveCodeBench score calculated?
LiveCodeBench is a coding 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.