Commonsense · Moonshot AI

Kimi K2 7B on HellaSwag: score, rank and what it means

Kimi K2 7B scores 78.1 on HellaSwag, placing it #400 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
78.1
0–100 scale
Rank
#400
of 600
Percentile
33th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
18.0
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Kimi K2 7B 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 7B sits at #400 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 18.0 points. The median model in this index scores 83.6, which puts Kimi K2 7B below the midpoint.

Moonshot AI models average 83.0 on this benchmark. Kimi K2 7B is 5.0 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 7B is 7.9 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 78.1 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 $1.72 per million input tokens, Kimi K2 7B 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
StableLM 2 Chat Stability AI 8192 $1.79 64.6
Embed 4 Pro Cohere 4096 $5.05 63.5
Kimi K2 8B Moonshot AI 8192 $1.86 64.7
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
Nemotron Nano NVIDIA 8192 $2.24 66.6

Other benchmarks for Kimi K2 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 431 28th
GPQA Diamond 57.0 440 27th
SWE-bench Verified 52.5 401 33th
HumanEval 67.5 416 31th
MATH-500 64.6 421 30th
AIME 2025 51.1 450 25th
LiveCodeBench 50.4 444 26th
IFEval 75.0 398 34th
TruthfulQA 67.9 414 31th
MMMU 59.2 437 27th
Arena Elo 1304.4 412 31th

FAQ

What score does Kimi K2 7B get on HellaSwag?

Kimi K2 7B scores 78.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Kimi K2 7B rank on HellaSwag?

It ranks #400 of 600 models, in the 33rd percentile. The leader is GPT-5.2 Max at 96.1.

Is Kimi K2 7B 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 7B cost?

Kimi K2 7B costs $1.72 per million input tokens and $8.97 per million output tokens.

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