Reasoning · Anthropic

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

Claude 3.7 Sonnet Vision scores 77.3 on GPQA Diamond, placing it #100 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
77.3
0–100 scale
Rank
#100
of 600
Percentile
83th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
9.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Claude 3.7 Sonnet Vision highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Claude 3.7 Sonnet Vision sits at #100 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 9.7 points. The median model in this index scores 68.8, which puts Claude 3.7 Sonnet Vision above the midpoint.

Anthropic models average 77.3 on this benchmark. Claude 3.7 Sonnet Vision is 0.0 points below that provider line, so it is a weaker result than the average Anthropic model.

Among multimodal models, the average is 73.5. Claude 3.7 Sonnet Vision is 3.8 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 77.3 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 $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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Gemini 3 Flash Turbo Google DeepMind 200000 $17.07 84.1
Kimi K2 Moonshot AI 128000 $5.85 83.0
Kimi K1.5 Instruct Moonshot AI 200000 $5.15 80.5
Kimi K2 Chat Moonshot AI 400000 $5.74 82.1
Claude 3.7 Sonnet Vision Anthropic 400000 $13.96 81.0
Grok 3 Reasoning xAI 200000 $16.07 82.9
ERNIE 4.5 Baidu 65536 $13.44 80.0

Other benchmarks for Claude 3.7 Sonnet Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.5 113 81th
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
HellaSwag 89.4 100 83th
MMMU 73.8 196 67th
Arena Elo 1429.6 121 80th

FAQ

What score does Claude 3.7 Sonnet Vision get on GPQA Diamond?

Claude 3.7 Sonnet Vision scores 77.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Claude 3.7 Sonnet Vision rank on GPQA Diamond?

It ranks #100 of 600 models, in the 83rd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Claude 3.7 Sonnet Vision good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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