Claude Haiku 4.5 Pro on LiveCodeBench: score, rank and what it means
Claude Haiku 4.5 Pro scores 72.4 on LiveCodeBench, placing it #138 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 distribution
The chart shows the top 10 models on LiveCodeBench, with Claude Haiku 4.5 Pro highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 Pro sits at #138 of 600. The leader, Claude Sonnet 4.5 Reasoning, scores 85.1, so the gap to the top is 12.7 points. The median model in this index scores 64.7, which puts Claude Haiku 4.5 Pro above the midpoint.
Anthropic models average 74.9 on this benchmark. Claude Haiku 4.5 Pro is 2.5 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 Pro is 2.1 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 72.4 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 $15.07 per million input tokens, Claude Haiku 4.5 Pro 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| GLM-4.6 Instruct | Zhipu AI | 1000000 | $5.15 | 80.4 |
| Hunyuan-Turbo Pro | Tencent | 65536 | $12.00 | 77.6 |
| Claude Opus 4.5 Mini | Anthropic | 65536 | $12.72 | 79.0 |
| Nova Pro Pro | Amazon | 200000 | $13.03 | 79.5 |
| Claude Haiku 4.5 Pro | Anthropic | 1000000 | $15.07 | 80.8 |
| QwQ Instruct | Alibaba Cloud | 65536 | $4.62 | 79.0 |
| Sonar Pro | Perplexity | 65536 | $11.25 | 77.1 |
Other benchmarks for Claude Haiku 4.5 Pro
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 81.5 | 133 | 78th | |
| GPQA Diamond | 75.7 | 128 | 79th | |
| SWE-bench Verified | 70.4 | 101 | 83th | |
| HumanEval | 86.0 | 101 | 83th | |
| MATH-500 | 83.7 | 131 | 78th | |
| AIME 2025 | 80.1 | 87 | 86th | |
| IFEval | 90.1 | 70 | 88th | |
| TruthfulQA | 84.1 | 81 | 87th | |
| HellaSwag | 89.3 | 105 | 83th | |
| MMMU | 75.3 | 157 | 74th | |
| Arena Elo | 1436.2 | 105 | 83th |
FAQ
What score does Claude Haiku 4.5 Pro get on LiveCodeBench?
Claude Haiku 4.5 Pro scores 72.4 on LiveCodeBench in this index. The benchmark average is 61.0 and the top score is 85.1.
How does Claude Haiku 4.5 Pro rank on LiveCodeBench?
It ranks #138 of 600 models, in the 77th percentile. The leader is Claude Sonnet 4.5 Reasoning at 85.1.
Is Claude Haiku 4.5 Pro 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 Pro cost?
Claude Haiku 4.5 Pro costs $15.07 per million input tokens and $73.96 per million output tokens.