Reasoning · Anthropic

Claude Sonnet 4.5 Mini on GPQA Diamond: score, rank and what it means

Claude Sonnet 4.5 Mini scores 69.5 on GPQA Diamond, placing it #278 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
69.5
0–100 scale
Rank
#278
of 600
Percentile
54th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
17.5
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Claude Sonnet 4.5 Mini 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 Sonnet 4.5 Mini sits at #278 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 17.5 points. The median model in this index scores 68.8, which puts Claude Sonnet 4.5 Mini above the midpoint.

Anthropic models average 77.3 on this benchmark. Claude Sonnet 4.5 Mini is 7.8 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 Sonnet 4.5 Mini is 4.0 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 69.5 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 $11.43 per million input tokens, Claude Sonnet 4.5 Mini 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
Yi-Lightning Chat 01.AI 32768 $3.79 75.5
Llama 3.1 Cerebras Chat Cerebras 32768 $4.07 76.0
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Seed-OSS Chat ByteDance 65536 $3.49 74.4
Claude Sonnet 4.5 Mini Anthropic 32768 $11.43 76.5
Mixtral Turbo Together AI 65536 $3.20 72.4
Auto Max OpenRouter 8192 $8.41 71.2

Other benchmarks for Claude Sonnet 4.5 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.3 267 56th
SWE-bench Verified 68.1 144 76th
HumanEval 80.9 215 64th
MATH-500 78.6 246 59th
AIME 2025 69.1 277 54th
LiveCodeBench 72.8 132 78th
IFEval 85.8 162 73th
TruthfulQA 81.1 154 74th
HellaSwag 86.4 197 67th
MMMU 71.8 248 59th
Arena Elo 1403.3 199 67th

FAQ

What score does Claude Sonnet 4.5 Mini get on GPQA Diamond?

Claude Sonnet 4.5 Mini scores 69.5 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Claude Sonnet 4.5 Mini rank on GPQA Diamond?

It ranks #278 of 600 models, in the 54th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Claude Sonnet 4.5 Mini 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 Sonnet 4.5 Mini cost?

Claude Sonnet 4.5 Mini costs $11.43 per million input tokens and $50.28 per million output tokens.

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