Coding · Anthropic

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

Claude Sonnet 4.5 Nano scores 61.2 on LiveCodeBench, placing it #359 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
61.2
0–100 scale
Rank
#359
of 600
Percentile
40th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
23.9
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Claude Sonnet 4.5 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 Sonnet 4.5 Nano sits at #359 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 23.9 points. The median model in this index scores 64.7, which puts Claude Sonnet 4.5 Nano below the midpoint.

Anthropic models average 74.9 on this benchmark. Claude Sonnet 4.5 Nano is 13.7 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 Sonnet 4.5 Nano is 2.9 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 61.2 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 $8.93 per million input tokens, Claude Sonnet 4.5 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
Arctic Chat Snowflake 16384 $2.70 69.8
Yi-Lightning Base 01.AI 16384 $3.31 72.7
Firefunction Fireworks AI 16384 $8.16 72.3
Mixtral Turbo Instruct Together AI 32768 $3.16 71.9
Claude Sonnet 4.5 Nano Anthropic 8192 $8.93 72.0
Arctic Base Snowflake 32768 $2.27 67.5
Yi-Large Base 01.AI 16384 $2.78 70.3

Other benchmarks for Claude Sonnet 4.5 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.3 268 55th
GPQA Diamond 68.9 298 50th
SWE-bench Verified 61.2 295 51th
HumanEval 74.8 345 43th
MATH-500 73.1 355 41th
AIME 2025 64.2 353 41th
IFEval 82.2 269 55th
TruthfulQA 75.6 317 47th
HellaSwag 83.0 319 47th
MMMU 70.1 297 51th
Arena Elo 1364.3 334 44th

FAQ

What score does Claude Sonnet 4.5 Nano get on LiveCodeBench?

Claude Sonnet 4.5 Nano scores 61.2 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Claude Sonnet 4.5 Nano rank on LiveCodeBench?

It ranks #359 of 600 models, in the 40th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Claude Sonnet 4.5 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 Sonnet 4.5 Nano cost?

Claude Sonnet 4.5 Nano costs $8.93 per million input tokens and $36.88 per million output tokens.

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