Coding · Anthropic

Claude Haiku 4.5 Turbo on LiveCodeBench: score, rank and what it means

Claude Haiku 4.5 Turbo scores 71.7 on LiveCodeBench, placing it #153 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
71.7
0–100 scale
Rank
#153
of 600
Percentile
75th
within the index
Benchmark avg
61.0
all models
Leader
85.1
Claude Sonnet 4.5 Reasoning
Gap to leader
13.4
points

Score distribution

The chart shows the top 10 models on LiveCodeBench, with Claude Haiku 4.5 Turbo 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 Haiku 4.5 Turbo sits at #153 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 13.4 points. The median model in this index scores 64.7, which puts Claude Haiku 4.5 Turbo above the midpoint.

Anthropic models average 74.9 on this benchmark. Claude Haiku 4.5 Turbo is 3.2 points below that provider line, so it is a weaker result than the average Anthropic model.

Among multimodal models, the average is 70.3. Claude Haiku 4.5 Turbo 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 71.7 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 $14.37 per million input tokens, Claude Haiku 4.5 Turbo 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
Qwen3-Coder Instruct Alibaba Cloud 128000 $4.66 78.1
Command A Cohere 200000 $13.30 79.6
Hunyuan-Large Tencent 65536 $4.33 78.2
Reka Core Pro Reka AI 65536 $13.44 79.9
Claude Haiku 4.5 Turbo Anthropic 200000 $14.37 80.0
DeepSeek-Coder Instruct DeepSeek 32768 $4.34 77.7
Claude Haiku 4.5 Anthropic 1000000 $13.86 79.4

Other benchmarks for Claude Haiku 4.5 Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 80.6 161 73th
GPQA Diamond 75.1 140 77th
SWE-bench Verified 68.4 135 78th
HumanEval 87.0 86 86th
MATH-500 83.7 132 78th
AIME 2025 79.2 98 84th
IFEval 87.1 128 79th
TruthfulQA 81.0 155 74th
HellaSwag 88.1 136 77th
MMMU 77.7 101 83th
Arena Elo 1434.5 109 82th

FAQ

What score does Claude Haiku 4.5 Turbo get on LiveCodeBench?

Claude Haiku 4.5 Turbo scores 71.7 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.

How does Claude Haiku 4.5 Turbo rank on LiveCodeBench?

It ranks #153 of 600 models, in the 75th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.

Is Claude Haiku 4.5 Turbo 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 Haiku 4.5 Turbo cost?

Claude Haiku 4.5 Turbo costs $14.37 per million input tokens and $54.76 per million output tokens.

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