Coding · Moonshot AI

Kimi K1.5 1.5B on HumanEval: score, rank and what it means

Kimi K1.5 1.5B scores 55.2 on HumanEval, placing it #541 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
55.2
0–100 scale
Rank
#541
of 600
Percentile
10th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
41.6
points

Score distribution

The chart shows the top 10 models on HumanEval, with Kimi K1.5 1.5B 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 1.5B sits at #541 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 41.6 points. The median model in this index scores 77.4, which puts Kimi K1.5 1.5B below the midpoint.

Moonshot AI models average 76.3 on this benchmark. Kimi K1.5 1.5B is 21.1 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 56.7. Kimi K1.5 1.5B is 1.5 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 55.2 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 $0.75 per million input tokens, Kimi K1.5 1.5B is below 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
Arctic 8B Snowflake 8192 $0.65 52.4
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0
Phi-3.5 8B Microsoft 16384 $0.59 51.2
Embed 4 Nano Cohere 8192 $1.48 49.7
Kimi K1.5 1.5B Moonshot AI 4096 $0.75 53.2
Mixtral Turbo 7B Together AI 8192 $0.68 53.2
Hunyuan-Large 1.5B Tencent 8192 $0.54 50.5

Other benchmarks for Kimi K1.5 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 61.5 508 15th
GPQA Diamond 47.1 547 9th
SWE-bench Verified 38.6 533 11th
MATH-500 53.4 532 11th
AIME 2025 41.8 531 12th
LiveCodeBench 41.3 531 12th
IFEval 66.0 518 14th
TruthfulQA 57.6 549 9th
HellaSwag 70.6 528 12th
MMMU 52.0 531 12th
Arena Elo 1225.8 531 12th

FAQ

What score does Kimi K1.5 1.5B get on HumanEval?

Kimi K1.5 1.5B scores 55.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Kimi K1.5 1.5B rank on HumanEval?

It ranks #541 of 600 models, in the 10th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Kimi K1.5 1.5B good at HumanEval?

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 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 1.5B cost?

Kimi K1.5 1.5B costs $0.75 per million input tokens and $3.70 per million output tokens.

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