Mathematics · Anthropic

Claude 3.7 Sonnet Nano on MATH-500: score, rank and what it means

Claude 3.7 Sonnet Nano scores 72.4 on MATH-500, placing it #363 of 600 models in the index. The benchmark average is 72.5 and the leader is GPT-5.2 Max at 96.7.

Score
72.4
0–100 scale
Rank
#363
of 600
Percentile
40th
within the index
Benchmark avg
72.5
all models
Leader
96.7
GPT-5.2 Max
Gap to leader
24.3
points

Score distribution

The chart shows the top 10 models on MATH-500, with Claude 3.7 Sonnet Nano highlighted. Longer bars mean higher scores.

GPT-5.2 Max 96.7
GPT-5.1 Reasoning 95.9
GPT-5.1 Pro 95.1
o4 Reasoning 94.8
Grok 4 Max 94.6
Grok 4 Reasoning 94.4
Claude Opus 4.5 Max 94.2
Claude Opus 4.5 93.7
Gemini 3 Pro Reasoning 93.3
Claude Opus 4.5 Turbo 93.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
2 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 o4 Reasoning OpenAI 1000000 $19.69 87.5
5 Grok 4 Max xAI 2000000 $19.70 86.6
6 Grok 4 Reasoning xAI 2000000 $19.67 87.8
7 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
8 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
9 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
10 Claude Opus 4.5 Turbo Anthropic 2000000 $19.57 85.7

What this score means

On MATH-500, Claude 3.7 Sonnet Nano sits at #363 of 600. The leader, GPT-5.2 Max, scores 96.7, so the gap to the top is 24.3 points. The median model in this index scores 76.0, which puts Claude 3.7 Sonnet Nano below the midpoint.

Anthropic models average 85.3 on this benchmark. Claude 3.7 Sonnet Nano is 12.9 points below that provider line, so it is a weaker result than the average Anthropic model.

Among mid-range models, the average is 70.0. Claude 3.7 Sonnet Nano is 2.4 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 72.4 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 MATH-500. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Gemma 3 Base Google DeepMind 65536 $3.09 71.1
Sonar Mini Perplexity 65536 $6.52 67.9
Auto Max OpenRouter 8192 $8.41 71.2
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
OLMo 2 Chat Allen Institute for AI 16384 $2.94 70.6
OLMo 2 Instruct Allen Institute for AI 32768 $3.03 71.7

Other benchmarks for Claude 3.7 Sonnet Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 72.5 373 38th
GPQA Diamond 63.8 379 37th
SWE-bench Verified 58.9 344 43th
HumanEval 72.8 376 37th
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 MATH-500?

Claude 3.7 Sonnet Nano scores 72.4 on MATH-500 in this index. The benchmark average is 72.5 and the top score is 96.7.

How does Claude 3.7 Sonnet Nano rank on MATH-500?

It ranks #363 of 600 models, in the 40th percentile. The leader is GPT-5.2 Max at 96.7.

Is Claude 3.7 Sonnet Nano good at MATH-500?

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 MATH-500 score calculated?

MATH-500 is a mathematics 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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