Coding · Moonshot AI

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

Kimi K1.5 Base scores 82.2 on HumanEval, placing it #181 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
82.2
0–100 scale
Rank
#181
of 600
Percentile
70th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
14.6
points

Score distribution

The chart shows the top 10 models on HumanEval, with Kimi K1.5 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 K1.5 Base sits at #181 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 14.6 points. The median model in this index scores 77.4, which puts Kimi K1.5 Base above the midpoint.

Moonshot AI models average 76.3 on this benchmark. Kimi K1.5 Base is 5.9 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 K1.5 Base is 0.0 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 82.2 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 $4.34 per million input tokens, Kimi K1.5 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
Reka Core Reasoning Reka AI 32768 $13.11 78.5
Codestral Chat Mistral AI 32768 $3.89 75.8
ERNIE 4.0 Reasoning Baidu 65536 $12.20 77.8
GLM-4.5 Instruct Zhipu AI 200000 $4.70 78.8
Kimi K1.5 Base Moonshot AI 65536 $4.34 77.4
Llama 3 Novita Instruct Novita AI 32768 $3.94 75.6
Qwen3-Coder Instruct Alibaba Cloud 128000 $4.66 78.1

Other benchmarks for Kimi K1.5 Base

BenchmarkScoreRankPercentileRelative
MMLU-Pro 78.2 237 61th
GPQA Diamond 74.3 160 73th
SWE-bench Verified 67.3 162 73th
MATH-500 79.9 211 65th
AIME 2025 72.9 204 66th
LiveCodeBench 67.0 250 58th
IFEval 86.0 157 74th
TruthfulQA 81.2 149 75th
HellaSwag 85.8 223 63th
MMMU 76.3 133 78th
Arena Elo 1397.5 216 64th

FAQ

What score does Kimi K1.5 Base get on HumanEval?

Kimi K1.5 Base scores 82.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Kimi K1.5 Base rank on HumanEval?

It ranks #181 of 600 models, in the 70th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Kimi K1.5 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 K1.5 Base cost?

Kimi K1.5 Base costs $4.34 per million input tokens and $15.70 per million output tokens.

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