Coding · Moonshot AI

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

Kimi K2 Base scores 69.9 on LiveCodeBench, placing it #192 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
69.9
0–100 scale
Rank
#192
of 600
Percentile
68th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
15.2
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Kimi K2 Base 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 Base sits at #192 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 15.2 points. The median model in this index scores 64.7, which puts Kimi K2 Base above the midpoint.

Moonshot AI models average 62.5 on this benchmark. Kimi K2 Base is 7.4 points above that provider line, so it is a stronger result than the average Moonshot AI model.

Among multimodal models, the average is 70.3. Kimi K2 Base 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 69.9 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 $4.82 per million input tokens, Kimi K2 Base is above 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
ERNIE 4.0 Max Baidu 32768 $12.40 78.9
Llama 3 Baseten Instruct Baseten 200000 $3.91 76.2
Llama 3 Lambda Lambda 65536 $3.90 75.6
Nemotron 4 NVIDIA 65536 $4.18 76.6
Kimi K2 Base Moonshot AI 65536 $4.82 79.2
Llama 3.1 Turbo Together AI 200000 $4.17 76.8
Llama 3.1 Turbo Chat Together AI 200000 $3.95 76.1

Other benchmarks for Kimi K2 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 81.8 126 79th
GPQA Diamond 76.1 120 80th
SWE-bench Verified 70.2 106 82th
HumanEval 84.9 121 80th
MATH-500 80.8 194 68th
AIME 2025 75.3 149 75th
IFEval 86.8 139 77th
TruthfulQA 83.2 104 83th
HellaSwag 88.5 124 79th
MMMU 73.5 204 66th
Arena Elo 1432.3 116 81th

FAQ

What score does Kimi K2 Base get on LiveCodeBench?

Kimi K2 Base scores 69.9 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Kimi K2 Base rank on LiveCodeBench?

It ranks #192 of 600 models, in the 68th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Kimi K2 Base good at LiveCodeBench?

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 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 Base cost?

Kimi K2 Base costs $4.82 per million input tokens and $16.90 per million output tokens.

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