Coding · Anthropic

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

Claude 3.7 Sonnet scores 75.0 on LiveCodeBench, placing it #95 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
75.0
0–100 scale
Rank
#95
of 600
Percentile
84th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
10.1
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Claude 3.7 Sonnet 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 sits at #95 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 10.1 points. The median model in this index scores 64.7, which puts Claude 3.7 Sonnet above the midpoint.

Anthropic models average 74.9 on this benchmark. Claude 3.7 Sonnet is 0.1 points above that provider line, so it is a stronger result than the average Anthropic model.

Among multimodal models, the average is 70.3. Claude 3.7 Sonnet is 4.7 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 75.0 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 $14.91 per million input tokens, Claude 3.7 Sonnet 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
Claude 3.7 Sonnet Turbo Anthropic 200000 $15.56 82.3
Magistral Mistral AI 200000 $4.75 79.8
DeepSeek-V3.2 Instruct DeepSeek 128000 $5.91 83.7
Mistral Large 3 Instruct Mistral AI 400000 $5.31 81.1
Claude 3.7 Sonnet Anthropic 200000 $14.91 81.6
Sonar Pro Perplexity 128000 $13.01 79.1
GLM-4.5 Instruct Zhipu AI 200000 $4.70 78.8

Other benchmarks for Claude 3.7 Sonnet

BenchmarkScoreRankPercentileRelative
MMLU-Pro 83.5 93 85th
GPQA Diamond 80.2 53 91th
SWE-bench Verified 70.1 107 82th
HumanEval 85.7 103 83th
MATH-500 88.9 60 90th
AIME 2025 81.2 70 88th
IFEval 88.5 94 84th
TruthfulQA 81.7 133 78th
HellaSwag 87.6 156 74th
MMMU 75.5 149 75th
Arena Elo 1451.9 68 89th

FAQ

What score does Claude 3.7 Sonnet get on LiveCodeBench?

Claude 3.7 Sonnet scores 75.0 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Claude 3.7 Sonnet rank on LiveCodeBench?

It ranks #95 of 600 models, in the 84th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Claude 3.7 Sonnet good at LiveCodeBench?

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 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 cost?

Claude 3.7 Sonnet costs $14.91 per million input tokens and $74.27 per million output tokens.

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