Coding · Moonshot AI

Kimi K1.5 on LiveCodeBench: score, rank and what it means

Kimi K1.5 scores 71.1 on LiveCodeBench, placing it #168 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
71.1
0–100 scale
Rank
#168
of 600
Percentile
72th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
14.0
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Kimi K1.5 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 K1.5 sits at #168 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 14.0 points. The median model in this index scores 64.7, which puts Kimi K1.5 above the midpoint.

Moonshot AI models average 62.5 on this benchmark. Kimi K1.5 is 8.6 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 K1.5 is 0.8 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 71.1 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
QwQ Alibaba Cloud 128000 $4.57 78.6
Qwen3-Max Mini Alibaba Cloud 128000 $11.13 76.5
Sonar Reasoning Perplexity 200000 $11.48 76.2
Command R+ Chat Cohere 32768 $4.02 76.0
Kimi K1.5 Moonshot AI 128000 $5.19 80.7
Kimi K1.5 Instruct Moonshot AI 200000 $5.15 80.5
MiniMax-M2 Instruct MiniMax 128000 $5.11 79.4

Other benchmarks for Kimi K1.5

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.7 109 82th
GPQA Diamond 74.4 155 74th
SWE-bench Verified 68.2 141 77th
HumanEval 87.1 84 86th
MATH-500 85.3 103 83th
AIME 2025 80.8 77 87th
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 LiveCodeBench?

Kimi K1.5 scores 71.1 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Kimi K1.5 rank on LiveCodeBench?

It ranks #168 of 600 models, in the 72nd percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Kimi K1.5 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 K1.5 cost?

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

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