Coding · Anthropic

Claude Sonnet 4.5 Max on LiveCodeBench: score, rank and what it means

Claude Sonnet 4.5 Max scores 82.8 on LiveCodeBench, placing it #15 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
82.8
0–100 scale
Rank
#15
of 600
Percentile
98th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
2.3
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Claude Sonnet 4.5 Max 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 Sonnet 4.5 Max sits at #15 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 2.3 points. The median model in this index scores 64.7, which puts Claude Sonnet 4.5 Max above the midpoint.

Anthropic models average 74.9 on this benchmark. Claude Sonnet 4.5 Max is 7.9 points above that provider line, so it is a stronger result than the average Anthropic model.

Among frontier models, the average is 80.6. Claude Sonnet 4.5 Max is 2.2 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 82.8 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 $19.90 per million input tokens, Claude Sonnet 4.5 Max 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
GPT-5.2 Vision OpenAI 1000000 $19.03 87.4
o4 Reasoning OpenAI 1000000 $19.69 87.5
Gemini 3 Pro Google DeepMind 2000000 $18.24 86.1
Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
Gemini 3 Pro Turbo Google DeepMind 400000 $19.62 86.4

Other benchmarks for Claude Sonnet 4.5 Max

BenchmarkScoreRankPercentileRelative
MMLU-Pro 86.1 50 92th
GPQA Diamond 84.4 10 98th
SWE-bench Verified 80.2 4 99th
HumanEval 92.4 16 97th
MATH-500 92.8 13 98th
AIME 2025 85.4 33 95th
IFEval 92.9 21 97th
TruthfulQA 87.3 30 95th
HellaSwag 93.1 20 97th
MMMU 82.0 32 95th
Arena Elo 1474.9 26 96th

FAQ

What score does Claude Sonnet 4.5 Max get on LiveCodeBench?

Claude Sonnet 4.5 Max scores 82.8 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Claude Sonnet 4.5 Max rank on LiveCodeBench?

It ranks #15 of 600 models, in the 98th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Claude Sonnet 4.5 Max 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 Sonnet 4.5 Max cost?

Claude Sonnet 4.5 Max costs $19.90 per million input tokens and $95.47 per million output tokens.

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