Claude Haiku 4.5 Turbo on HumanEval: score, rank and what it means
Claude Haiku 4.5 Turbo scores 87.0 on HumanEval, placing it #86 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.
Score distribution
The chart shows the top 10 models on HumanEval, with Claude Haiku 4.5 Turbo highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 2 | Gemini 3 Pro Pro | Google DeepMind | 200000 | $19.80 | 87.3 |
| 3 | o4 Max | OpenAI | 2000000 | $19.51 | 86.2 |
| 4 | Grok 4 Reasoning | xAI | 2000000 | $19.67 | 87.8 |
| 5 | Claude Opus 4.5 | Anthropic | 400000 | $19.42 | 87.7 |
| 6 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 7 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 8 | Grok 4 Max | xAI | 2000000 | $19.70 | 86.6 |
| 9 | GPT-5.2 Turbo | OpenAI | 1000000 | $20.73 | 87.4 |
| 10 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
What this score means
On HumanEval, Claude Haiku 4.5 Turbo sits at #86 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 9.8 points. The median model in this index scores 77.4, which puts Claude Haiku 4.5 Turbo above the midpoint.
Anthropic models average 86.0 on this benchmark. Claude Haiku 4.5 Turbo is 1.0 points above that provider line, so it is a stronger result than the average Anthropic model.
Among multimodal models, the average is 82.2. Claude Haiku 4.5 Turbo is 4.8 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 87.0 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 $14.37 per million input tokens, Claude Haiku 4.5 Turbo is above the median input price of $4.00 across the 600 models scored on HumanEval. 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 |
|---|---|---|---|---|
| Kimi K2 Instruct | Moonshot AI | 1000000 | $5.80 | 82.3 |
| Llama 4 Maverick | Meta AI | 200000 | $5.36 | 81.6 |
| Kimi K1.5 | Moonshot AI | 128000 | $5.19 | 80.7 |
| Kimi K2 | Moonshot AI | 128000 | $5.85 | 83.0 |
| Claude Haiku 4.5 Turbo | Anthropic | 200000 | $14.37 | 80.0 |
| Claude Sonnet 4.5 Vision | Anthropic | 128000 | $16.99 | 83.8 |
| Gemini 2.5 Pro Max | Google DeepMind | 200000 | $16.94 | 84.8 |
Other benchmarks for Claude Haiku 4.5 Turbo
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 80.6 | 161 | 73th | |
| GPQA Diamond | 75.1 | 140 | 77th | |
| SWE-bench Verified | 68.4 | 135 | 78th | |
| MATH-500 | 83.7 | 132 | 78th | |
| AIME 2025 | 79.2 | 98 | 84th | |
| LiveCodeBench | 71.7 | 153 | 75th | |
| 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 HumanEval?
Claude Haiku 4.5 Turbo scores 87.0 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.
How does Claude Haiku 4.5 Turbo rank on HumanEval?
It ranks #86 of 600 models, in the 86th percentile. The leader is GPT-5.2 Pro at 96.8.
Is Claude Haiku 4.5 Turbo good at HumanEval?
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 HumanEval score calculated?
HumanEval 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.