Commonsense · OpenAI

o4 Mini on HellaSwag: score, rank and what it means

o4 Mini scores 87.7 on HellaSwag, placing it #155 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
87.7
0–100 scale
Rank
#155
of 600
Percentile
74th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
8.4
points

Score distribution

The chart shows the top 10 models on HellaSwag, with o4 Mini 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, o4 Mini sits at #155 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 8.4 points. The median model in this index scores 83.6, which puts o4 Mini above the midpoint.

OpenAI models average 90.5 on this benchmark. o4 Mini is 2.8 points below that provider line, so it is a weaker result than the average OpenAI model.

Among multimodal models, the average is 86.8. o4 Mini is 0.9 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 87.7 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 $11.92 per million input tokens, o4 Mini 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
MiniMax-M2 Chat MiniMax 200000 $5.02 80.2
ERNIE 4.5 Max Baidu 128000 $14.41 80.6
Hunyuan-Large Instruct Tencent 65536 $4.39 78.2
Llama 3.1 Cerebras Instruct Cerebras 65536 $4.11 76.1
o4 Mini OpenAI 200000 $11.92 77.7
Claude 3.7 Sonnet Anthropic 200000 $14.91 81.6
Command A Reasoning Cohere 400000 $13.74 80.2

Other benchmarks for o4 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.7 160 73th
GPQA Diamond 73.5 189 69th
SWE-bench Verified 64.9 215 64th
HumanEval 81.8 190 68th
MATH-500 83.5 136 77th
AIME 2025 75.3 150 75th
LiveCodeBench 67.7 232 61th
IFEval 84.6 200 67th
TruthfulQA 81.2 152 75th
MMMU 73.7 201 67th
Arena Elo 1417.0 163 73th

FAQ

What score does o4 Mini get on HellaSwag?

o4 Mini scores 87.7 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does o4 Mini rank on HellaSwag?

It ranks #155 of 600 models, in the 74th percentile. The leader is GPT-5.2 Max at 96.1.

Is o4 Mini 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 o4 Mini cost?

o4 Mini costs $11.92 per million input tokens and $51.03 per million output tokens.

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