Coding · Anthropic

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

Claude 3.7 Sonnet Nano scores 59.7 on LiveCodeBench, placing it #372 of 600 models in the index. The benchmark average is 61.0 and the leader is Claude Sonnet 4.5 Reasoning at 85.1.

Score
59.7
0–100 scale
Rank
#372
of 600
Percentile
38th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
25.4
points

Score distribution

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

Claude Sonnet 4.5 Reasoning 85.1
Grok 4 Reasoning 85.1
Claude Opus 4.5 85.0
GPT-5.2 Max 84.8
Grok 4 Turbo 84.7
GPT-5.1 Turbo 84.6
GPT-5.2 Pro 84.6
GPT-5.2 Reasoning 84.6
Claude Opus 4.5 Pro 84.1
Gemini 3 Pro Max 83.6

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
2 Grok 4 Reasoning xAI 2000000 $19.67 87.8
3 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 Grok 4 Turbo xAI 1000000 $19.21 86.7
6 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1
7 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
8 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
9 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
10 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9

What this score means

On LiveCodeBench, Claude 3.7 Sonnet Nano sits at #372 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 25.4 points. The median model in this index scores 64.7, which puts Claude 3.7 Sonnet Nano below the midpoint.

Anthropic models average 74.9 on this benchmark. Claude 3.7 Sonnet Nano is 15.2 points below that provider line, so it is a weaker result than the average Anthropic model.

Among mid-range models, the average is 58.3. Claude 3.7 Sonnet Nano is 1.4 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 59.7 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 LiveCodeBench. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Auto Max OpenRouter 8192 $8.41 71.2
Claude Haiku 4.5 Nano Anthropic 8192 $6.47 68.7
OLMo 2 Allen Institute for AI 65536 $2.99 71.0
Phi-3.5 Microsoft 16384 $2.81 70.9
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
Phi-3.5 Instruct Microsoft 16384 $2.67 70.1
Nova Pro Mini Amazon 16384 $7.74 70.6

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
MATH-500 72.4 363 40th
AIME 2025 62.0 376 37th
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 LiveCodeBench?

Claude 3.7 Sonnet Nano scores 59.7 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Claude 3.7 Sonnet Nano rank on LiveCodeBench?

It ranks #372 of 600 models, in the 38th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Claude 3.7 Sonnet Nano good at LiveCodeBench?

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 LiveCodeBench score calculated?

LiveCodeBench is a coding 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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