Kimi K1.5 1.5B on SWE-bench Verified: score, rank and what it means
Kimi K1.5 1.5B scores 38.6 on SWE-bench Verified, placing it #533 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.
Score distribution
The chart shows the top 10 models on SWE-bench Verified, with Kimi K1.5 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 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 3 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 4 | Claude Sonnet 4.5 Max | Anthropic | 1000000 | $19.90 | 87.2 |
| 5 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 6 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 7 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 8 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
What this score means
On SWE-bench Verified, Kimi K1.5 1.5B sits at #533 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 43.1 points. The median model in this index scores 61.0, which puts Kimi K1.5 1.5B below the midpoint.
Moonshot AI models average 59.4 on this benchmark. Kimi K1.5 1.5B is 20.8 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 39.0. Kimi K1.5 1.5B is 0.4 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 38.6 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 $0.75 per million input tokens, Kimi K1.5 1.5B is below the median input price of $4.00 across the 600 models scored on SWE-bench Verified. 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 |
|---|---|---|---|---|
| Gemma 3 7B | Google DeepMind | 32768 | $0.90 | 55.9 |
| Phi-3.5 8B | Microsoft | 16384 | $0.59 | 51.2 |
| Llama 3 DeepInfra 7B | DeepInfra | 16384 | $0.95 | 55.6 |
| Mixtral 7B | Mistral AI | 16384 | $0.70 | 54.1 |
| Kimi K1.5 1.5B | Moonshot AI | 4096 | $0.75 | 53.2 |
| Mixtral Groq 8B | Groq | 32768 | $0.77 | 54.8 |
| GLM-4.5 1.5B | Zhipu AI | 16384 | $0.65 | 53.3 |
Other benchmarks for Kimi K1.5 1.5B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 61.5 | 508 | 15th | |
| GPQA Diamond | 47.1 | 547 | 9th | |
| HumanEval | 55.2 | 541 | 10th | |
| MATH-500 | 53.4 | 532 | 11th | |
| AIME 2025 | 41.8 | 531 | 12th | |
| LiveCodeBench | 41.3 | 531 | 12th | |
| IFEval | 66.0 | 518 | 14th | |
| TruthfulQA | 57.6 | 549 | 9th | |
| HellaSwag | 70.6 | 528 | 12th | |
| MMMU | 52.0 | 531 | 12th | |
| Arena Elo | 1225.8 | 531 | 12th |
FAQ
What score does Kimi K1.5 1.5B get on SWE-bench Verified?
Kimi K1.5 1.5B scores 38.6 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.
How does Kimi K1.5 1.5B rank on SWE-bench Verified?
It ranks #533 of 600 models, in the 11th percentile. The leader is GPT-5.2 Pro at 81.7.
Is Kimi K1.5 1.5B good at SWE-bench Verified?
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 SWE-bench Verified score calculated?
SWE-bench Verified 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 K1.5 1.5B cost?
Kimi K1.5 1.5B costs $0.75 per million input tokens and $3.70 per million output tokens.