Reasoning · Anthropic

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

Claude Haiku 4.5 Vision scores 73.6 on GPQA Diamond, placing it #181 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
73.6
0–100 scale
Rank
#181
of 600
Percentile
70th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
13.4
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Claude Haiku 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 Haiku 4.5 Vision sits at #181 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 13.4 points. The median model in this index scores 68.8, which puts Claude Haiku 4.5 Vision above the midpoint.

Anthropic models average 77.3 on this benchmark. Claude Haiku 4.5 Vision is 3.7 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 Haiku 4.5 Vision is 0.1 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 73.6 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 $13.01 per million input tokens, Claude Haiku 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
Mistral Small 3 Mistral AI 32768 $3.90 75.3
MiniMax-M2 Instruct MiniMax 128000 $5.11 79.4
MiniMax-Text Chat MiniMax 128000 $4.26 77.8
Sonar Max Perplexity 32768 $11.60 77.8
Claude Haiku 4.5 Vision Anthropic 128000 $13.01 79.2
Llama 3.1 Turbo Chat Together AI 200000 $3.95 76.1
Llama 3.3 Groq Groq 32768 $3.98 76.8

Other benchmarks for Claude Haiku 4.5 Vision

BenchmarkScoreRankPercentileRelative
MMLU-Pro 82.7 108 82th
SWE-bench Verified 67.0 168 72th
HumanEval 85.0 114 81th
MATH-500 80.6 197 67th
AIME 2025 75.8 144 76th
LiveCodeBench 70.7 177 71th
IFEval 86.0 154 74th
TruthfulQA 82.8 109 82th
HellaSwag 88.6 123 80th
MMMU 78.2 89 85th
Arena Elo 1413.3 176 71th

FAQ

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

Claude Haiku 4.5 Vision scores 73.6 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Claude Haiku 4.5 Vision rank on GPQA Diamond?

It ranks #181 of 600 models, in the 70th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Claude Haiku 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 Haiku 4.5 Vision cost?

Claude Haiku 4.5 Vision costs $13.01 per million input tokens and $53.29 per million output tokens.

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