Coding · Moonshot AI

Kimi K2 7B on SWE-bench Verified: score, rank and what it means

Kimi K2 7B scores 52.5 on SWE-bench Verified, placing it #401 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
52.5
0–100 scale
Rank
#401
of 600
Percentile
33th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
29.2
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Kimi K2 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 K2 7B sits at #401 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 29.2 points. The median model in this index scores 61.0, which puts Kimi K2 7B below the midpoint.

Moonshot AI models average 59.4 on this benchmark. Kimi K2 7B is 6.9 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 K2 7B is 13.5 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 52.5 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 $1.72 per million input tokens, Kimi K2 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
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
Nova Lite Mini Amazon 16384 $5.43 65.0
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Firefunction Mini Fireworks AI 32768 $4.63 63.2
Hunyuan-Turbo Mini Tencent 8192 $6.59 68.3

Other benchmarks for Kimi K2 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 431 28th
GPQA Diamond 57.0 440 27th
HumanEval 67.5 416 31th
MATH-500 64.6 421 30th
AIME 2025 51.1 450 25th
LiveCodeBench 50.4 444 26th
IFEval 75.0 398 34th
TruthfulQA 67.9 414 31th
HellaSwag 78.1 400 33th
MMMU 59.2 437 27th
Arena Elo 1304.4 412 31th

FAQ

What score does Kimi K2 7B get on SWE-bench Verified?

Kimi K2 7B scores 52.5 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Kimi K2 7B rank on SWE-bench Verified?

It ranks #401 of 600 models, in the 33rd percentile. The leader is GPT-5.2 Pro at 81.7.

Is Kimi K2 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 K2 7B cost?

Kimi K2 7B costs $1.72 per million input tokens and $8.97 per million output tokens.

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