DeepSeek-R1 Base vs Sonar Pro Reasoning: which model should you choose?
We compared DeepSeek-R1 Base and Sonar Pro Reasoning on price, context window and 12 benchmarks. Sonar Pro Reasoning has the stronger average benchmark score; DeepSeek-R1 Base is cheaper on a blended 3:1 basis.
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
Sonar Pro Reasoning
Sonar Pro Reasoning is a multimodal model from Perplexity. It offers a 128,000-token context window, costs $13.94 per million input tokens and $72.76 per million output tokens, and averages 80.5 across the index's benchmark suite.
- Input
- $13.94 / 1M
- Output
- $72.76 / 1M
- Context
- 128,000
- Avg score
- 80.5
- Open weights
- No
Specification comparison
| Spec | DeepSeek-R1 Base | Sonar Pro Reasoning | Edge |
|---|---|---|---|
| Input price / 1M | $5.05 | $13.94 | A |
| Output price / 1M | $26.24 | $72.76 | A |
| Context window | 400,000 | 128,000 | A |
| Max output | 65,536 | 32,768 | A |
| Average score | 80.1 | 80.5 | B |
| Arena Elo | 1442.9 | 1439.7 | A |
| Open weights | Yes | No | A |
Benchmark comparison
DeepSeek-R1 Base wins 6, Sonar Pro Reasoning wins 5, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | DeepSeek-R1 Base | Sonar Pro Reasoning | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.0 | 82.6 | 1.6 | Sonar Pro Reasoning |
| GPQA Diamond | 76.2 | 76.2 | 0.0 | Tie |
| SWE-bench Verified | 71.2 | 71.7 | 0.5 | Sonar Pro Reasoning |
| HumanEval | 83.4 | 82.7 | 0.7 | DeepSeek-R1 Base |
| MATH-500 | 84.9 | 85.1 | 0.2 | Sonar Pro Reasoning |
| AIME 2025 | 73.8 | 73.7 | 0.1 | DeepSeek-R1 Base |
| LiveCodeBench | 76.0 | 75.6 | 0.4 | DeepSeek-R1 Base |
| IFEval | 88.2 | 87.1 | 1.1 | DeepSeek-R1 Base |
| TruthfulQA | 82.2 | 84.4 | 2.2 | Sonar Pro Reasoning |
| HellaSwag | 90.0 | 89.9 | 0.1 | DeepSeek-R1 Base |
| MMMU | 74.2 | 76.1 | 1.9 | Sonar Pro Reasoning |
| Arena Elo | 1442.9 | 1439.7 | 3.2 | DeepSeek-R1 Base |
Price analysis
On a blended 3:1 input-to-output basis, DeepSeek-R1 Base costs about $10.35 per million tokens and Sonar Pro Reasoning costs about $28.65. DeepSeek-R1 Base is roughly 64% cheaper than Sonar Pro Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
DeepSeek-R1 Base has the larger context window at 400,000 tokens, compared with 128,000 for Sonar Pro Reasoning. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, DeepSeek-R1 Base wins 6, Sonar Pro Reasoning wins 5, and 1 are tied. On the index average, Sonar Pro Reasoning leads DeepSeek-R1 Base by 0.4 points (80.5 versus 80.1).
The price picture favours DeepSeek-R1 Base. The context picture favours DeepSeek-R1 Base. 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 Sonar Pro Reasoning for quality-sensitive work and DeepSeek-R1 Base for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose DeepSeek-R1 Base if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 400,000-token context window.
- You need the larger 65,536-token output limit.
- You need open weights for self-hosting or fine-tuning.
Choose Sonar Pro Reasoning if
- You want the higher average benchmark score in this index.
- The workload needs multi-step reasoning.
FAQ
Is DeepSeek-R1 Base better than Sonar Pro Reasoning?
On the index average, Sonar Pro Reasoning leads DeepSeek-R1 Base by 0.4 points (80.5 versus 80.1). The better choice depends on price, context and your task. DeepSeek-R1 Base wins 6 benchmarks, Sonar Pro Reasoning wins 5.
Which is cheaper, DeepSeek-R1 Base or Sonar Pro Reasoning?
DeepSeek-R1 Base is cheaper on a blended 3:1 basis at about $10.35 per million tokens, versus $28.65 for Sonar Pro Reasoning.
Which has the larger context window?
DeepSeek-R1 Base has the larger context window at 400,000 tokens. Sonar Pro Reasoning has 128,000 tokens.
Are these models open weights?
DeepSeek-R1 Base is open weights; Sonar Pro Reasoning is proprietary.
Which should I choose for production?
If you need a single default, start with Sonar Pro Reasoning for quality-sensitive work and DeepSeek-R1 Base for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.