Commonsense · Anthropic

Claude 3.7 Sonnet Vision on HellaSwag: score, rank and what it means

Claude 3.7 Sonnet Vision scores 89.4 on HellaSwag, placing it #100 of 600 models in the index. The benchmark average is 81.4 and the leader is GPT-5.2 Max at 96.1.

Score
89.4
0–100 scale
Rank
#100
of 600
Percentile
83th
within the index
Benchmark avg
81.4
all models
Leader
96.1
GPT-5.2 Max
Gap to leader
6.7
points

Score distribution

The chart shows the top 10 models on HellaSwag, with Claude 3.7 Sonnet 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, Claude 3.7 Sonnet Vision sits at #100 of 600. The leader, GPT-5.2 Max, scores 96.1, so the gap to the top is 6.7 points. The median model in this index scores 83.6, which puts Claude 3.7 Sonnet Vision above the midpoint.

Anthropic models average 89.3 on this benchmark. Claude 3.7 Sonnet Vision is 0.1 points above that provider line, so it is a stronger result than the average Anthropic model.

Among multimodal models, the average is 86.8. Claude 3.7 Sonnet Vision is 2.6 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 89.4 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 $13.96 per million input tokens, Claude 3.7 Sonnet 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
o3 Vision OpenAI 1000000 $15.24 81.8
Claude Haiku 4.5 Anthropic 1000000 $13.86 79.4
Llama 4 Maverick Instruct Meta AI 200000 $5.33 81.7
Gemini 3 Flash Turbo Google DeepMind 200000 $17.07 84.1
Claude 3.7 Sonnet Vision Anthropic 400000 $13.96 81.0
Claude Sonnet 4.5 Vision Anthropic 128000 $16.99 83.8
GLM-4.6 Zhipu AI 128000 $5.10 80.2

Other benchmarks for Claude 3.7 Sonnet Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.5 113 81th
GPQA Diamond 77.3 100 83th
SWE-bench Verified 72.2 72 88th
HumanEval 85.4 106 82th
MATH-500 84.8 111 82th
AIME 2025 80.9 76 87th
LiveCodeBench 75.7 85 86th
IFEval 87.9 103 83th
TruthfulQA 81.6 136 77th
MMMU 73.8 196 67th
Arena Elo 1429.6 121 80th

FAQ

What score does Claude 3.7 Sonnet Vision get on HellaSwag?

Claude 3.7 Sonnet Vision scores 89.4 on HellaSwag in this index. The benchmark average is 81.4 and the top score is 96.1.

How does Claude 3.7 Sonnet Vision rank on HellaSwag?

It ranks #100 of 600 models, in the 83rd percentile. The leader is GPT-5.2 Max at 96.1.

Is Claude 3.7 Sonnet 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 Claude 3.7 Sonnet Vision cost?

Claude 3.7 Sonnet Vision costs $13.96 per million input tokens and $56.28 per million output tokens.

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