Coding · Moonshot AI

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

Kimi K2 Base scores 84.9 on HumanEval, placing it #121 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
84.9
0–100 scale
Rank
#121
of 600
Percentile
80th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
11.9
points

Score distribution

The chart shows the top 10 models on HumanEval, with Kimi K2 Base highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Kimi K2 Base sits at #121 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 11.9 points. The median model in this index scores 77.4, which puts Kimi K2 Base above the midpoint.

Moonshot AI models average 76.3 on this benchmark. Kimi K2 Base 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 82.2. Kimi K2 Base is 2.7 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 84.9 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 HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 4 Maverick Instruct Meta AI 200000 $5.33 81.7
Mistral Large 3 Base Mistral AI 65536 $4.47 78.2
Mistral Large 3 Chat Mistral AI 1000000 $4.90 79.1
DeepSeek-R1 Chat DeepSeek 400000 $5.62 82.4
Kimi K2 Base Moonshot AI 65536 $4.82 79.2
Claude Haiku 4.5 Anthropic 1000000 $13.86 79.4
Sonar Pro Turbo Perplexity 128000 $13.55 79.0

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
MATH-500 80.8 194 68th
AIME 2025 75.3 149 75th
LiveCodeBench 69.9 192 68th
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 HumanEval?

Kimi K2 Base scores 84.9 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Kimi K2 Base rank on HumanEval?

It ranks #121 of 600 models, in the 80th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Kimi K2 Base good at HumanEval?

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 HumanEval score calculated?

HumanEval 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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