Reasoning · Anthropic

Claude Opus 4.5 Vision on GPQA Diamond: score, rank and what it means

Claude Opus 4.5 Vision scores 80.7 on GPQA Diamond, placing it #48 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
80.7
0–100 scale
Rank
#48
of 600
Percentile
92th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
6.3
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Claude Opus 4.5 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 Opus 4.5 Vision sits at #48 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 6.3 points. The median model in this index scores 68.8, which puts Claude Opus 4.5 Vision above the midpoint.

Anthropic models average 77.3 on this benchmark. Claude Opus 4.5 Vision is 3.4 points above that provider line, so it is a stronger result than the average Anthropic model.

Among frontier models, the average is 81.5. Claude Opus 4.5 Vision is 0.8 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 80.7 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 $17.70 per million input tokens, Claude Opus 4.5 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
DeepSeek-V3.2 Instruct DeepSeek 128000 $5.91 83.7
Gemini 3 Flash Max Google DeepMind 1000000 $17.43 85.0
Grok 3 Max xAI 2000000 $17.66 85.9
o4 Vision OpenAI 200000 $17.01 84.5
Claude Opus 4.5 Vision Anthropic 200000 $17.70 85.9
Claude 3.7 Sonnet Pro Anthropic 128000 $16.07 83.3
Gemini 3 Pro Vision Google DeepMind 200000 $17.59 85.5

Other benchmarks for Claude Opus 4.5 Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.9 36 94th
SWE-bench Verified 77.7 18 97th
HumanEval 88.2 69 89th
MATH-500 91.9 22 96th
AIME 2025 85.4 32 95th
LiveCodeBench 80.1 43 93th
IFEval 92.6 26 96th
TruthfulQA 86.9 38 94th
HellaSwag 91.4 49 92th
MMMU 83.2 19 97th
Arena Elo 1452.2 66 89th

FAQ

What score does Claude Opus 4.5 Vision get on GPQA Diamond?

Claude Opus 4.5 Vision scores 80.7 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Claude Opus 4.5 Vision rank on GPQA Diamond?

It ranks #48 of 600 models, in the 92nd percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Claude Opus 4.5 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 Opus 4.5 Vision cost?

Claude Opus 4.5 Vision costs $17.70 per million input tokens and $74.84 per million output tokens.

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