Coding · Moonshot AI

Kimi K1.5 on SWE-bench Verified: score, rank and what it means

Kimi K1.5 scores 68.2 on SWE-bench Verified, placing it #141 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
68.2
0–100 scale
Rank
#141
of 600
Percentile
77th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
13.5
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Kimi K1.5 highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 sits at #141 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 13.5 points. The median model in this index scores 61.0, which puts Kimi K1.5 above the midpoint.

Moonshot AI models average 59.4 on this benchmark. Kimi K1.5 is 8.8 points above that provider line, so it is a stronger result than the average Moonshot AI model.

Among multimodal models, the average is 66.4. Kimi K1.5 is 1.8 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 68.2 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 $5.19 per million input tokens, Kimi K1.5 is above 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.

ModelProviderContextInput / 1MAvg score
Llama 3.1 Turbo Instruct Together AI 32768 $4.21 76.7
QwQ Alibaba Cloud 128000 $4.57 78.6
QwQ Chat Alibaba Cloud 65536 $4.28 78.2
ERNIE 4.5 Baidu 65536 $13.44 80.0
Kimi K1.5 Moonshot AI 128000 $5.19 80.7
MiniMax-Text MiniMax 32768 $4.44 77.0
Nova Pro Pro Amazon 200000 $13.03 79.5

Other benchmarks for Kimi K1.5

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.7 109 82th
GPQA Diamond 74.4 155 74th
HumanEval 87.1 84 86th
MATH-500 85.3 103 83th
AIME 2025 80.8 77 87th
LiveCodeBench 71.1 168 72th
IFEval 87.9 104 83th
TruthfulQA 84.7 69 89th
HellaSwag 87.2 164 73th
MMMU 77.8 99 84th
Arena Elo 1432.2 117 81th

FAQ

What score does Kimi K1.5 get on SWE-bench Verified?

Kimi K1.5 scores 68.2 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 rank on SWE-bench Verified?

It ranks #141 of 600 models, in the 77th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Kimi K1.5 good at SWE-bench Verified?

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 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 cost?

Kimi K1.5 costs $5.19 per million input tokens and $21.20 per million output tokens.

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