Claude Haiku 4.5 vs DeepSeek-R1 Base: which model should you choose?
We compared Claude Haiku 4.5 and DeepSeek-R1 Base on price, context window and 12 benchmarks. DeepSeek-R1 Base has the stronger average benchmark score; DeepSeek-R1 Base is cheaper on a blended 3:1 basis.
Claude Haiku 4.5
Claude Haiku 4.5 is a multimodal model from Anthropic. It offers a 1,000,000-token context window, costs $13.86 per million input tokens and $74.67 per million output tokens, and averages 79.4 across the index's benchmark suite.
- Input
- $13.86 / 1M
- Output
- $74.67 / 1M
- Context
- 1,000,000
- Avg score
- 79.4
- Open weights
- No
DeepSeek-R1 Base
DeepSeek-R1 Base is a multimodal model from DeepSeek. It offers a 400,000-token context window, costs $5.05 per million input tokens and $26.24 per million output tokens, and averages 80.1 across the index's benchmark suite.
- Input
- $5.05 / 1M
- Output
- $26.24 / 1M
- Context
- 400,000
- Avg score
- 80.1
- Open weights
- Yes
Specification comparison
| Spec | Claude Haiku 4.5 | DeepSeek-R1 Base | Edge |
|---|---|---|---|
| Input price / 1M | $13.86 | $5.05 | B |
| Output price / 1M | $74.67 | $26.24 | B |
| Context window | 1,000,000 | 400,000 | A |
| Max output | 128,000 | 65,536 | A |
| Average score | 79.4 | 80.1 | B |
| Arena Elo | 1421.8 | 1442.9 | B |
| Open weights | No | Yes | B |
Benchmark comparison
Claude Haiku 4.5 wins 4, DeepSeek-R1 Base wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude Haiku 4.5 | DeepSeek-R1 Base | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 84.1 | 81.0 | 3.1 | Claude Haiku 4.5 |
| GPQA Diamond | 74.1 | 76.2 | 2.1 | DeepSeek-R1 Base |
| SWE-bench Verified | 69.2 | 71.2 | 2.0 | DeepSeek-R1 Base |
| HumanEval | 84.7 | 83.4 | 1.3 | Claude Haiku 4.5 |
| MATH-500 | 81.4 | 84.9 | 3.5 | DeepSeek-R1 Base |
| AIME 2025 | 76.5 | 73.8 | 2.7 | Claude Haiku 4.5 |
| LiveCodeBench | 71.6 | 76.0 | 4.4 | DeepSeek-R1 Base |
| IFEval | 85.2 | 88.2 | 3.0 | DeepSeek-R1 Base |
| TruthfulQA | 79.6 | 82.2 | 2.6 | DeepSeek-R1 Base |
| HellaSwag | 89.6 | 90.0 | 0.4 | DeepSeek-R1 Base |
| MMMU | 77.6 | 74.2 | 3.4 | Claude Haiku 4.5 |
| Arena Elo | 1421.8 | 1442.9 | 21.1 | DeepSeek-R1 Base |
Price analysis
On a blended 3:1 input-to-output basis, Claude Haiku 4.5 costs about $29.06 per million tokens and DeepSeek-R1 Base costs about $10.35. DeepSeek-R1 Base is roughly 64% cheaper than Claude Haiku 4.5. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Claude Haiku 4.5 has the larger context window at 1,000,000 tokens, compared with 400,000 for DeepSeek-R1 Base. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude Haiku 4.5 wins 4, DeepSeek-R1 Base wins 8, and 0 are tied. On the index average, DeepSeek-R1 Base leads Claude Haiku 4.5 by 0.7 points (80.1 versus 79.4).
The price picture favours DeepSeek-R1 Base. The context picture favours Claude Haiku 4.5. 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 Base for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Claude Haiku 4.5 if
- You need the larger 1,000,000-token context window.
- You need the larger 128,000-token output limit.
Choose DeepSeek-R1 Base if
- You want the higher average benchmark score in this index.
- 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 better than DeepSeek-R1 Base?
On the index average, DeepSeek-R1 Base leads Claude Haiku 4.5 by 0.7 points (80.1 versus 79.4). The better choice depends on price, context and your task. Claude Haiku 4.5 wins 4 benchmarks, DeepSeek-R1 Base wins 8.
Which is cheaper, Claude Haiku 4.5 or DeepSeek-R1 Base?
DeepSeek-R1 Base is cheaper on a blended 3:1 basis at about $10.35 per million tokens, versus $29.06 for Claude Haiku 4.5.
Which has the larger context window?
Claude Haiku 4.5 has the larger context window at 1,000,000 tokens. DeepSeek-R1 Base has 400,000 tokens.
Are these models open weights?
Claude Haiku 4.5 is proprietary; DeepSeek-R1 Base is open weights.
Which should I choose for production?
If you need a single default, start with DeepSeek-R1 Base for quality-sensitive work, and check whether its price holds at your expected volume before committing.