Commonsense · OpenAI

GPT-5.1 Max on HellaSwag: score, rank and what it means

GPT-5.1 Max scores 93.1 on HellaSwag, placing it #21 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
93.1
0–100 scale
Rank
#21
of 600
Percentile
97th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
3.0
points

Score distribution

The chart shows the top 10 models on HellaSwag, with GPT-5.1 Max 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-5.1 Max sits at #21 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 3.0 points. The median model in this index scores 83.6, which puts GPT-5.1 Max above the midpoint.

OpenAI models average 90.5 on this benchmark. GPT-5.1 Max is 2.6 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-5.1 Max is 0.8 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 93.1 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 $20.50 per million input tokens, GPT-5.1 Max 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
Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
o3 Max OpenAI 2000000 $17.82 84.8
Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
GPT-5.1 Max OpenAI 2000000 $20.50 87.9
Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
Claude Sonnet 4.5 Anthropic 400000 $17.84 86.0

Other benchmarks for GPT-5.1 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 91.3 2 100th
GPQA Diamond 86.4 2 100th
SWE-bench Verified 75.6 33 95th
HumanEval 92.2 18 97th
MATH-500 91.3 35 94th
AIME 2025 88.8 11 98th
LiveCodeBench 80.2 41 93th
IFEval 92.2 35 94th
TruthfulQA 91.1 1 100th
MMMU 85.1 5 99th
Arena Elo 1478.2 22 96th

FAQ

What score does GPT-5.1 Max get on HellaSwag?

GPT-5.1 Max scores 93.1 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does GPT-5.1 Max rank on HellaSwag?

It ranks #21 of 600 models, in the 97th percentile. The leader is GPT-5.2 Max at 96.1.

Is GPT-5.1 Max 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-5.1 Max cost?

GPT-5.1 Max costs $20.50 per million input tokens and $103.98 per million output tokens.

Related