Commonsense · Moonshot AI

Kimi K2 1.5B on HellaSwag: score, rank and what it means

Kimi K2 1.5B scores 71.9 on HellaSwag, placing it #501 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
71.9
0–100 scale
Rank
#501
of 600
Percentile
17th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
24.2
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Kimi K2 1.5B 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 K2 1.5B sits at #501 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 24.2 points. The median model in this index scores 83.6, which puts Kimi K2 1.5B below the midpoint.

Moonshot AI models average 83.0 on this benchmark. Kimi K2 1.5B is 11.1 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 70.2. Kimi K2 1.5B is 1.7 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 71.9 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 $0.99 per million input tokens, Kimi K2 1.5B is below 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
Llama 3 DeepInfra 8B DeepInfra 8192 $1.05 57.4
Llama 3 Modal 7B Modal 4096 $0.88 55.2
Llama 3.1 Turbo 7B Together AI 8192 $0.98 56.4
MiniMax-M2 1.5B MiniMax 16384 $0.84 54.6
Kimi K2 1.5B Moonshot AI 4096 $0.99 56.8
Mistral Large 3 1.5B Mistral AI 32768 $0.82 55.4
Pythia Base EleutherAI 16384 $0.99 55.9

Other benchmarks for Kimi K2 1.5B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 60.5 521 13th
GPQA Diamond 55.4 458 24th
SWE-bench Verified 40.0 522 13th
HumanEval 62.7 462 23th
MATH-500 58.8 480 20th
AIME 2025 46.4 485 19th
LiveCodeBench 42.2 524 13th
IFEval 68.3 485 19th
TruthfulQA 61.5 512 15th
MMMU 57.3 465 23th
Arena Elo 1239.6 514 14th

FAQ

What score does Kimi K2 1.5B get on HellaSwag?

Kimi K2 1.5B scores 71.9 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Kimi K2 1.5B rank on HellaSwag?

It ranks #501 of 600 models, in the 17th percentile. The leader is GPT-5.2 Max at 96.1.

Is Kimi K2 1.5B good at HellaSwag?

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 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 K2 1.5B cost?

Kimi K2 1.5B costs $0.99 per million input tokens and $5.06 per million output tokens.

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