Reasoning · Anthropic

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

Claude 3.7 Sonnet Mini scores 70.5 on GPQA Diamond, placing it #248 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
70.5
0–100 scale
Rank
#248
of 600
Percentile
59th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
16.5
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Claude 3.7 Sonnet 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 3.7 Sonnet Mini sits at #248 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 16.5 points. The median model in this index scores 68.8, which puts Claude 3.7 Sonnet Mini above the midpoint.

Anthropic models average 77.3 on this benchmark. Claude 3.7 Sonnet Mini is 6.8 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 3.7 Sonnet Mini is 3.0 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 70.5 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 $9.74 per million input tokens, Claude 3.7 Sonnet 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
GLM-4.5 Base Zhipu AI 32768 $3.99 74.9
Llama 3 Anyscale Anyscale 65536 $3.94 74.7
Mistral Small 3 Base Mistral AI 16384 $3.19 72.7
Mixtral Chat Mistral AI 65536 $3.30 72.6
Claude 3.7 Sonnet Mini Anthropic 32768 $9.74 73.0
Command R+ Cohere 32768 $3.96 76.3
Command R+ Instruct Cohere 200000 $4.16 76.2

Other benchmarks for Claude 3.7 Sonnet Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 75.0 332 45th
SWE-bench Verified 60.6 313 48th
HumanEval 76.4 320 47th
MATH-500 74.6 336 44th
AIME 2025 69.5 267 56th
LiveCodeBench 67.8 229 62th
IFEval 80.8 315 48th
TruthfulQA 76.2 302 50th
HellaSwag 83.1 314 48th
MMMU 68.6 331 45th
Arena Elo 1386.6 260 57th

FAQ

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

Claude 3.7 Sonnet Mini scores 70.5 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 Mini rank on GPQA Diamond?

It ranks #248 of 600 models, in the 59th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Claude 3.7 Sonnet 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 3.7 Sonnet Mini cost?

Claude 3.7 Sonnet Mini costs $9.74 per million input tokens and $51.20 per million output tokens.

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