Commonsense · Moonshot AI

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

Kimi K1.5 scores 87.2 on HellaSwag, placing it #164 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
87.2
0–100 scale
Rank
#164
of 600
Percentile
73th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
8.9
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Kimi K1.5 highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.1
GPT-5.2 Turbo 95.5
GPT-5.2 Pro 95.3
Claude Opus 4.5 Pro 95.2
Claude Sonnet 4.5 Reasoning 95.2
Grok 4 Reasoning 95.2
GPT-5.2 Vision 94.6
Gemini 3 Pro Turbo 94.6
GPT-5.1 Reasoning 94.4
o4 Pro 94.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
8 Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
9 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
10 o4 Pro OpenAI 1000000 $19.37 87.3

What this score means

On HellaSwag, Kimi K1.5 sits at #164 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 8.9 points. The median model in this index scores 83.6, which puts Kimi K1.5 above the midpoint.

Moonshot AI models average 83.0 on this benchmark. Kimi K1.5 is 4.2 points above that provider line, so it is a stronger result than the average Moonshot AI model.

Among multimodal models, the average is 86.8. Kimi K1.5 is 0.4 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 87.2 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 $5.19 per million input tokens, Kimi K1.5 is above the median input price of $4.00 across the 600 models scored on HellaSwag. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Yi-Lightning 01.AI 32768 $4.22 77.2
Codestral Instruct Mistral AI 65536 $4.01 75.1
DeepSeek-Coder DeepSeek 32768 $4.55 78.1
Doubao 1.5 Pro Pro ByteDance 128000 $14.10 80.2
Kimi K1.5 Moonshot AI 128000 $5.19 80.7
Kimi K1.5 Chat Moonshot AI 128000 $5.11 80.2
Llama 3.1 Meta AI 200000 $4.16 76.3

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
LiveCodeBench 71.1 168 72th
IFEval 87.9 104 83th
TruthfulQA 84.7 69 89th
MMMU 77.8 99 84th
Arena Elo 1432.2 117 81th

FAQ

What score does Kimi K1.5 get on HellaSwag?

Kimi K1.5 scores 87.2 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Kimi K1.5 rank on HellaSwag?

It ranks #164 of 600 models, in the 73rd percentile. The leader is GPT-5.2 Max at 96.1.

Is Kimi K1.5 good at HellaSwag?

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 HellaSwag score calculated?

HellaSwag is a commonsense 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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