Claude Haiku 4.5 Pro vs DeepSeek-R1 Chat: which model should you choose?
We compared Claude Haiku 4.5 Pro and DeepSeek-R1 Chat on price, context window and 12 benchmarks. DeepSeek-R1 Chat has the stronger average benchmark score; DeepSeek-R1 Chat is cheaper on a blended 3:1 basis.
Claude Haiku 4.5 Pro
Claude Haiku 4.5 Pro is a multimodal model from Anthropic. It offers a 1,000,000-token context window, costs $15.07 per million input tokens and $73.96 per million output tokens, and averages 80.8 across the index's benchmark suite.
- Input
- $15.07 / 1M
- Output
- $73.96 / 1M
- Context
- 1,000,000
- Avg score
- 80.8
- Open weights
- No
DeepSeek-R1 Chat
DeepSeek-R1 Chat is a multimodal model from DeepSeek. It offers a 400,000-token context window, costs $5.62 per million input tokens and $21.49 per million output tokens, and averages 82.4 across the index's benchmark suite.
- Input
- $5.62 / 1M
- Output
- $21.49 / 1M
- Context
- 400,000
- Avg score
- 82.4
- Open weights
- Yes
Specification comparison
| Spec | Claude Haiku 4.5 Pro | DeepSeek-R1 Chat | Edge |
|---|---|---|---|
| Input price / 1M | $15.07 | $5.62 | B |
| Output price / 1M | $73.96 | $21.49 | B |
| Context window | 1,000,000 | 400,000 | A |
| Max output | 8,192 | 128,000 | B |
| Average score | 80.8 | 82.4 | B |
| Arena Elo | 1436.2 | 1433.3 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Claude Haiku 4.5 Pro wins 5, DeepSeek-R1 Chat wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude Haiku 4.5 Pro | DeepSeek-R1 Chat | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.5 | 83.4 | 1.9 | DeepSeek-R1 Chat |
| GPQA Diamond | 75.7 | 80.0 | 4.3 | DeepSeek-R1 Chat |
| SWE-bench Verified | 70.4 | 71.7 | 1.3 | DeepSeek-R1 Chat |
| HumanEval | 86.0 | 84.9 | 1.1 | Claude Haiku 4.5 Pro |
| MATH-500 | 83.7 | 89.1 | 5.4 | DeepSeek-R1 Chat |
| AIME 2025 | 80.1 | 78.6 | 1.5 | Claude Haiku 4.5 Pro |
| LiveCodeBench | 72.4 | 79.3 | 6.9 | DeepSeek-R1 Chat |
| IFEval | 90.1 | 89.5 | 0.6 | Claude Haiku 4.5 Pro |
| TruthfulQA | 84.1 | 82.3 | 1.8 | Claude Haiku 4.5 Pro |
| HellaSwag | 89.3 | 90.6 | 1.3 | DeepSeek-R1 Chat |
| MMMU | 75.3 | 77.1 | 1.8 | DeepSeek-R1 Chat |
| Arena Elo | 1436.2 | 1433.3 | 2.9 | Claude Haiku 4.5 Pro |
Price analysis
On a blended 3:1 input-to-output basis, Claude Haiku 4.5 Pro costs about $29.79 per million tokens and DeepSeek-R1 Chat costs about $9.59. DeepSeek-R1 Chat is roughly 68% cheaper than Claude Haiku 4.5 Pro. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Claude Haiku 4.5 Pro has the larger context window at 1,000,000 tokens, compared with 400,000 for DeepSeek-R1 Chat. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude Haiku 4.5 Pro wins 5, DeepSeek-R1 Chat wins 7, and 0 are tied. On the index average, DeepSeek-R1 Chat leads Claude Haiku 4.5 Pro by 1.6 points (82.4 versus 80.8).
The price picture favours DeepSeek-R1 Chat. The context picture favours Claude Haiku 4.5 Pro. 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 DeepSeek-R1 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Claude Haiku 4.5 Pro if
- You need the larger 1,000,000-token context window.
Choose DeepSeek-R1 Chat if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
- You need the larger 128,000-token output limit.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Claude Haiku 4.5 Pro better than DeepSeek-R1 Chat?
On the index average, DeepSeek-R1 Chat leads Claude Haiku 4.5 Pro by 1.6 points (82.4 versus 80.8). The better choice depends on price, context and your task. Claude Haiku 4.5 Pro wins 5 benchmarks, DeepSeek-R1 Chat wins 7.
Which is cheaper, Claude Haiku 4.5 Pro or DeepSeek-R1 Chat?
DeepSeek-R1 Chat is cheaper on a blended 3:1 basis at about $9.59 per million tokens, versus $29.79 for Claude Haiku 4.5 Pro.
Which has the larger context window?
Claude Haiku 4.5 Pro has the larger context window at 1,000,000 tokens. DeepSeek-R1 Chat has 400,000 tokens.
Are these models open weights?
Claude Haiku 4.5 Pro is proprietary; DeepSeek-R1 Chat is open weights.
Which should I choose for production?
If you need a single default, start with DeepSeek-R1 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.