Reasoning · Anthropic

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

Claude 3.7 Sonnet Nano scores 63.8 on GPQA Diamond, placing it #379 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
63.8
0–100 scale
Rank
#379
of 600
Percentile
37th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
23.2
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Claude 3.7 Sonnet Nano 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 Nano sits at #379 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 23.2 points. The median model in this index scores 68.8, which puts Claude 3.7 Sonnet Nano below the midpoint.

Anthropic models average 77.3 on this benchmark. Claude 3.7 Sonnet Nano is 13.5 points below that provider line, so it is a weaker result than the average Anthropic model.

Among mid-range models, the average is 62.9. Claude 3.7 Sonnet Nano is 0.9 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 63.8 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 $6.93 per million input tokens, Claude 3.7 Sonnet Nano 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
Llama 3 Hyperbolic Base Hyperbolic 32768 $3.02 71.1
Mixtral Base Mistral AI 65536 $2.95 71.1
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
Auto OpenRouter 32768 $7.53 70.2
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
Mixtral Turbo Base Together AI 32768 $2.53 69.7
Molmo Chat Allen Institute for AI 32768 $2.40 66.7

Other benchmarks for Claude 3.7 Sonnet Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.5 373 38th
SWE-bench Verified 58.9 344 43th
HumanEval 72.8 376 37th
MATH-500 72.4 363 40th
AIME 2025 62.0 376 37th
LiveCodeBench 59.7 372 38th
IFEval 76.2 386 36th
TruthfulQA 73.0 368 39th
HellaSwag 81.1 365 39th
MMMU 65.6 376 37th
Arena Elo 1338.9 379 37th

FAQ

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

Claude 3.7 Sonnet Nano scores 63.8 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 Nano rank on GPQA Diamond?

It ranks #379 of 600 models, in the 37th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Claude 3.7 Sonnet Nano good at GPQA Diamond?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. 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 Nano cost?

Claude 3.7 Sonnet Nano costs $6.93 per million input tokens and $27.07 per million output tokens.

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