Commonsense · Moonshot AI

Kimi K1.5 7B on HellaSwag: score, rank and what it means

Kimi K1.5 7B scores 74.3 on HellaSwag, placing it #451 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
74.3
0–100 scale
Rank
#451
of 600
Percentile
25th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
21.8
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Kimi K1.5 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 K1.5 7B sits at #451 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 21.8 points. The median model in this index scores 83.6, which puts Kimi K1.5 7B below the midpoint.

Moonshot AI models average 83.0 on this benchmark. Kimi K1.5 7B is 8.8 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 K1.5 7B is 4.1 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 74.3 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 $1.35 per million input tokens, Kimi K1.5 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
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
MiniMax-Text 8B MiniMax 4096 $1.22 59.5
Reka Flash Nano Reka AI 16384 $3.93 61.0
MiniMax-M2 7B MiniMax 8192 $1.44 60.8
Kimi K1.5 7B Moonshot AI 8192 $1.35 59.9
DeepSeek-R1 1.5B DeepSeek 16384 $1.04 56.6
StableLM 2 Base Stability AI 8192 $1.49 61.9

Other benchmarks for Kimi K1.5 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.3 437 27th
GPQA Diamond 56.0 449 25th
SWE-bench Verified 45.6 455 24th
HumanEval 62.3 466 22th
MATH-500 59.7 469 22th
AIME 2025 48.0 470 22th
LiveCodeBench 52.3 424 29th
IFEval 72.4 427 29th
TruthfulQA 65.2 457 24th
MMMU 57.2 467 22th
Arena Elo 1269.9 459 24th

FAQ

What score does Kimi K1.5 7B get on HellaSwag?

Kimi K1.5 7B scores 74.3 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Kimi K1.5 7B rank on HellaSwag?

It ranks #451 of 600 models, in the 25th percentile. The leader is GPT-5.2 Max at 96.1.

Is Kimi K1.5 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 K1.5 7B cost?

Kimi K1.5 7B costs $1.35 per million input tokens and $4.98 per million output tokens.

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