DeepSeek R1 vs o3-pro
DeepSeek R1 (2025) and o3-pro (2025) are frontier-tier reasoning models from DeepSeek and OpenAI. DeepSeek R1 ships a 128K-token context window, while o3-pro ships a not-yet-sourced context window. On Google-Proof Q&A, o3-pro leads by 12.5 pts. On pricing, DeepSeek R1 costs $0.1/1M input tokens versus $20/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.
DeepSeek R1 is ~19900% cheaper at $0.1/1M; pay for o3-pro only for coding workflow support.
Specs
| Released | 2025-01-20 | 2025-06-10 |
| Context window | 128K | — |
| Parameters | 671B, 37B Active | — |
| Architecture | decoder only | decoder only |
| License | Open Source | Proprietary |
| Knowledge cutoff | - | 2025-08 |
Pricing and availability
| DeepSeek R1 | o3-pro | |
|---|---|---|
| Input price | $0.1/1M tokens | $20/1M tokens |
| Output price | $0.3/1M tokens | $80/1M tokens |
| Providers |
Capabilities
| DeepSeek R1 | o3-pro | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
| Benchmark | DeepSeek R1 | o3-pro |
|---|---|---|
| Google-Proof Q&A | 71.5 | 84.0 |
| Aider Polyglot | 56.9 | 84.9 |
Deep dive
On shared benchmark coverage, Google-Proof Q&A has DeepSeek R1 at 71.5 and o3-pro at 84, with o3-pro ahead by 12.5 points; Aider Polyglot has DeepSeek R1 at 56.9 and o3-pro at 84.9, with o3-pro ahead by 28.0 points. The largest visible gap is 28.0 points on Aider Polyglot, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on vision: o3-pro, multimodal input: o3-pro, function calling: o3-pro, and tool use: o3-pro. Both models share reasoning mode, structured outputs, and code execution, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, DeepSeek R1 lists $0.1/1M input and $0.3/1M output tokens, while o3-pro lists $20/1M input and $80/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek R1 lower by about $37.84 per million blended tokens. Availability is 13 providers versus 1, so concentration risk also matters.
Choose DeepSeek R1 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose o3-pro when coding workflow support are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.
FAQ
Which is cheaper, DeepSeek R1 or o3-pro?
DeepSeek R1 is cheaper on tracked token pricing. DeepSeek R1 costs $0.1/1M input and $0.3/1M output tokens. o3-pro costs $20/1M input and $80/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek R1 or o3-pro open source?
DeepSeek R1 is listed under Open Source. o3-pro is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, DeepSeek R1 or o3-pro?
o3-pro has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, DeepSeek R1 or o3-pro?
o3-pro has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for reasoning mode, DeepSeek R1 or o3-pro?
Both DeepSeek R1 and o3-pro expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run DeepSeek R1 and o3-pro?
DeepSeek R1 is available on DeepSeek Platform, OpenRouter, Together AI, Fireworks AI, and NVIDIA NIM. o3-pro is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.