o1-pro vs o3
o1-pro (2024) and o3 (2025) are frontier reasoning models from OpenAI. o1-pro ships a 200K-token context window, while o3 ships a 200K-token context window. On pricing, o3 costs $2/1M input tokens versus $150/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
o3 is ~7400% cheaper at $2/1M; pay for o1-pro only for provider fit.
Specs
Pricing and availability
| Pricing attribute | o1-pro | o3 |
|---|---|---|
| Input price | $150/1M tokens | $2/1M tokens |
| Output price | $600/1M tokens | $8/1M tokens |
| Providers |
Capabilities
| Capability | o1-pro | o3 |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | Yes |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | Yes |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: o3 and code execution: o3. Both models share structured outputs, 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, o1-pro lists $150/1M input and $600/1M output tokens, while o3 lists $2/1M input and $8/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts o3 lower by about $281 per million blended tokens. Availability is 1 providers versus 2, so concentration risk also matters.
Choose o1-pro when provider fit are central to the workload. Choose o3 when coding workflow support, lower input-token cost, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, o1-pro or o3?
o1-pro supports 200K tokens, while o3 supports 200K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, o1-pro or o3?
o3 is cheaper on tracked token pricing. o1-pro costs $150/1M input and $600/1M output tokens. o3 costs $2/1M input and $8/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is o1-pro or o3 open source?
o1-pro is listed under Unknown. o3 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 reasoning mode, o1-pro or o3?
o3 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, o1-pro or o3?
Both o1-pro and o3 expose structured outputs. 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 o1-pro and o3?
o1-pro is available on OpenRouter. o3 is available on OpenAI API and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.