Commonsense · OpenAI

GPT-5.2 Vision on HellaSwag: score, rank and what it means

GPT-5.2 Vision scores 94.6 on HellaSwag, placing it #7 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
94.6
0–100 scale
Rank
#7
of 600
Percentile
99th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
1.5
points

Score distribution

The chart shows the top 10 models on HellaSwag, with GPT-5.2 Vision 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, GPT-5.2 Vision sits at #7 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 1.5 points. The median model in this index scores 83.6, which puts GPT-5.2 Vision above the midpoint.

OpenAI models average 90.5 on this benchmark. GPT-5.2 Vision is 4.1 points above that provider line, so it is a stronger result than the average OpenAI model.

Among frontier models, the average is 92.3. GPT-5.2 Vision is 2.3 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 94.6 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 $19.03 per million input tokens, GPT-5.2 Vision 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
GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
Grok 4 Reasoning xAI 2000000 $19.67 87.8
GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4
GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

Other benchmarks for GPT-5.2 Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 89.5 9 99th
GPQA Diamond 82.1 28 95th
SWE-bench Verified 78.8 11 98th
HumanEval 91.2 31 95th
MATH-500 92.9 12 98th
AIME 2025 85.7 28 95th
LiveCodeBench 83.4 11 98th
IFEval 93.9 12 98th
TruthfulQA 85.3 63 90th
MMMU 84.4 10 98th
Arena Elo 1484.3 18 97th

FAQ

What score does GPT-5.2 Vision get on HellaSwag?

GPT-5.2 Vision scores 94.6 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does GPT-5.2 Vision rank on HellaSwag?

It ranks #7 of 600 models, in the 99th percentile. The leader is GPT-5.2 Max at 96.1.

Is GPT-5.2 Vision 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 GPT-5.2 Vision cost?

GPT-5.2 Vision costs $19.03 per million input tokens and $85.72 per million output tokens.

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