Claude Haiku 4.5 Max vs DeepSeek-R1: which model should you choose?
We compared Claude Haiku 4.5 Max and DeepSeek-R1 on price, context window and 12 benchmarks. Claude Haiku 4.5 Max has the stronger average benchmark score; DeepSeek-R1 is cheaper on a blended 3:1 basis.
Claude Haiku 4.5 Max
Claude Haiku 4.5 Max is a multimodal model from Anthropic. It offers a 200,000-token context window, costs $15.98 per million input tokens and $80.37 per million output tokens, and averages 83.8 across the index's benchmark suite.
- Input
- $15.98 / 1M
- Output
- $80.37 / 1M
- Context
- 200,000
- Avg score
- 83.8
- Open weights
- No
DeepSeek-R1
DeepSeek-R1 is a multimodal model from DeepSeek. It offers a 128,000-token context window, costs $5.83 per million input tokens and $25.23 per million output tokens, and averages 82.8 across the index's benchmark suite.
- Input
- $5.83 / 1M
- Output
- $25.23 / 1M
- Context
- 128,000
- Avg score
- 82.8
- Open weights
- Yes
Specification comparison
| Spec | Claude Haiku 4.5 Max | DeepSeek-R1 | Edge |
|---|---|---|---|
| Input price / 1M | $15.98 | $5.83 | B |
| Output price / 1M | $80.37 | $25.23 | B |
| Context window | 200,000 | 128,000 | A |
| Max output | 4,096 | 4,096 | Tie |
| Average score | 83.8 | 82.8 | A |
| Arena Elo | 1452.0 | 1454.1 | B |
| Open weights | No | Yes | B |
Benchmark comparison
Claude Haiku 4.5 Max wins 8, DeepSeek-R1 wins 4, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude Haiku 4.5 Max | DeepSeek-R1 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 86.6 | 83.8 | 2.8 | Claude Haiku 4.5 Max |
| GPQA Diamond | 80.3 | 77.8 | 2.5 | Claude Haiku 4.5 Max |
| SWE-bench Verified | 74.0 | 72.2 | 1.8 | Claude Haiku 4.5 Max |
| HumanEval | 88.5 | 86.4 | 2.1 | Claude Haiku 4.5 Max |
| MATH-500 | 88.7 | 89.1 | 0.4 | DeepSeek-R1 |
| AIME 2025 | 78.2 | 81.1 | 2.9 | DeepSeek-R1 |
| LiveCodeBench | 79.2 | 77.4 | 1.8 | Claude Haiku 4.5 Max |
| IFEval | 89.9 | 91.0 | 1.1 | DeepSeek-R1 |
| TruthfulQA | 83.7 | 82.9 | 0.8 | Claude Haiku 4.5 Max |
| HellaSwag | 91.1 | 89.8 | 1.3 | Claude Haiku 4.5 Max |
| MMMU | 81.4 | 79.5 | 1.9 | Claude Haiku 4.5 Max |
| Arena Elo | 1452.0 | 1454.1 | 2.1 | DeepSeek-R1 |
Price analysis
On a blended 3:1 input-to-output basis, Claude Haiku 4.5 Max costs about $32.08 per million tokens and DeepSeek-R1 costs about $10.68. DeepSeek-R1 is roughly 67% cheaper than Claude Haiku 4.5 Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Claude Haiku 4.5 Max has the larger context window at 200,000 tokens, compared with 128,000 for DeepSeek-R1. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude Haiku 4.5 Max wins 8, DeepSeek-R1 wins 4, and 0 are tied. On the index average, Claude Haiku 4.5 Max leads DeepSeek-R1 by 1.0 points (83.8 versus 82.8).
The price picture favours DeepSeek-R1. The context picture favours Claude Haiku 4.5 Max. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with Claude Haiku 4.5 Max for quality-sensitive work and DeepSeek-R1 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Claude Haiku 4.5 Max if
- You want the higher average benchmark score in this index.
- You need the larger 200,000-token context window.
Choose DeepSeek-R1 if
- Unit cost matters and you want the cheaper blended price.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Claude Haiku 4.5 Max better than DeepSeek-R1?
On the index average, Claude Haiku 4.5 Max leads DeepSeek-R1 by 1.0 points (83.8 versus 82.8). The better choice depends on price, context and your task. Claude Haiku 4.5 Max wins 8 benchmarks, DeepSeek-R1 wins 4.
Which is cheaper, Claude Haiku 4.5 Max or DeepSeek-R1?
DeepSeek-R1 is cheaper on a blended 3:1 basis at about $10.68 per million tokens, versus $32.08 for Claude Haiku 4.5 Max.
Which has the larger context window?
Claude Haiku 4.5 Max has the larger context window at 200,000 tokens. DeepSeek-R1 has 128,000 tokens.
Are these models open weights?
Claude Haiku 4.5 Max is proprietary; DeepSeek-R1 is open weights.
Which should I choose for production?
If you need a single default, start with Claude Haiku 4.5 Max for quality-sensitive work and DeepSeek-R1 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.