Coding · Moonshot AI

Kimi K1.5 7B on SWE-bench Verified: score, rank and what it means

Kimi K1.5 7B scores 45.6 on SWE-bench Verified, placing it #455 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
45.6
0–100 scale
Rank
#455
of 600
Percentile
24th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
36.1
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Kimi K1.5 7B 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 7B sits at #455 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 36.1 points. The median model in this index scores 61.0, which puts Kimi K1.5 7B below the midpoint.

Moonshot AI models average 59.4 on this benchmark. Kimi K1.5 7B is 13.8 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 7B is 6.6 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 45.6 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 $1.35 per million input tokens, Kimi K1.5 7B 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.

ModelProviderContextInput / 1MAvg score
Codestral 8B Mistral AI 4096 $1.18 59.0
MiniMax-Text 8B MiniMax 4096 $1.22 59.5
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
Kimi K1.5 7B Moonshot AI 8192 $1.35 59.9
Kimi K1.5 8B Moonshot AI 8192 $1.54 62.2
Llama 3.1 8B Meta AI 8192 $1.15 58.7

Other benchmarks for Kimi K1.5 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.3 437 27th
GPQA Diamond 56.0 449 25th
HumanEval 62.3 466 22th
MATH-500 59.7 469 22th
AIME 2025 48.0 470 22th
LiveCodeBench 52.3 424 29th
IFEval 72.4 427 29th
TruthfulQA 65.2 457 24th
HellaSwag 74.3 451 25th
MMMU 57.2 467 22th
Arena Elo 1269.9 459 24th

FAQ

What score does Kimi K1.5 7B get on SWE-bench Verified?

Kimi K1.5 7B scores 45.6 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 7B rank on SWE-bench Verified?

It ranks #455 of 600 models, in the 24th percentile. The leader is GPT-5.2 Pro at 81.7.

Is Kimi K1.5 7B 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 7B cost?

Kimi K1.5 7B costs $1.35 per million input tokens and $4.98 per million output tokens.

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