o1-pro vs o3 Deep Research
o1-pro (2024) and o3 Deep Research (2026) are frontier reasoning models from OpenAI. o1-pro ships a 200K-token context window, while o3 Deep Research ships a 200K-token context window. 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 Deep Research is safer overall; choose o1-pro when provider fit matters.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-05 | 2026-01-01 |
| Context window | 200K | 200K |
| Parameters | — | — |
| Architecture | decoder only | decoder only |
| License | Unknown | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | o1-pro | o3 Deep Research |
|---|---|---|
| Input price | $150/1M tokens | - |
| Output price | $600/1M tokens | - |
| Providers | - |
Capabilities
| Capability | o1-pro | o3 Deep Research |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: o3 Deep Research, multimodal input: o3 Deep Research, reasoning mode: o3 Deep Research, function calling: o3 Deep Research, and tool use: o3 Deep Research. 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.
Pricing coverage is uneven: o1-pro has $150/1M input tokens and o3 Deep Research has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose o1-pro when provider fit and broader provider choice are central to the workload. Choose o3 Deep Research when reasoning depth 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.
FAQ
Which has a larger context window, o1-pro or o3 Deep Research?
o1-pro supports 200K tokens, while o3 Deep Research supports 200K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is o1-pro or o3 Deep Research open source?
o1-pro is listed under Unknown. o3 Deep Research 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, o1-pro or o3 Deep Research?
o3 Deep Research 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.
Which is better for multimodal input, o1-pro or o3 Deep Research?
o3 Deep Research 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, o1-pro or o3 Deep Research?
o3 Deep Research 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.
Where can I run o1-pro and o3 Deep Research?
o1-pro is available on OpenRouter. o3 Deep Research is available on the tracked providers still being sourced. 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.