Coding · Moonshot AI

Kimi K2 8B on LiveCodeBench: score, rank and what it means

Kimi K2 8B scores 55.0 on LiveCodeBench, placing it #406 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
55.0
0–100 scale
Rank
#406
of 600
Percentile
32th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
30.1
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Kimi K2 8B highlighted. Longer bars mean higher scores.

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg 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 8B sits at #406 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 30.1 points. The median model in this index scores 64.7, which puts Kimi K2 8B below the midpoint.

Moonshot AI models average 62.5 on this benchmark. Kimi K2 8B is 7.5 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 8B is 13.8 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 55.0 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 $1.86 per million input tokens, Kimi K2 8B 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.

ModelProviderContextInput / 1MAvg score
StableLM 2 Stability AI 8192 $1.91 65.0
Sonar Mini Perplexity 65536 $6.52 67.9
Sonar Nano Perplexity 4096 $4.37 61.9
Embed 4 Turbo Cohere 4096 $5.13 64.0
Kimi K2 8B Moonshot AI 8192 $1.86 64.7
Nova Lite Mini Amazon 16384 $5.43 65.0
SmolLM3 Chat Hugging Face 16384 $1.61 62.1

Other benchmarks for Kimi K2 8B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.3 427 29th
GPQA Diamond 59.3 411 32th
SWE-bench Verified 50.9 414 31th
HumanEval 69.9 395 34th
MATH-500 68.7 392 35th
AIME 2025 55.4 414 31th
IFEval 75.4 394 34th
TruthfulQA 69.4 404 33th
HellaSwag 78.6 398 34th
MMMU 62.2 406 32th
Arena Elo 1311.4 406 32th

FAQ

What score does Kimi K2 8B get on LiveCodeBench?

Kimi K2 8B scores 55.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Kimi K2 8B rank on LiveCodeBench?

It ranks #406 of 600 models, in the 32nd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Kimi K2 8B 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 8B cost?

Kimi K2 8B costs $1.86 per million input tokens and $10.03 per million output tokens.

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