o1 Pro vs o3 Deep Research
o1 Pro vs o3 Deep Research: o3 Deep Research is cheaper for input-heavy usage ($10.00/M vs $150.00/M input tokens), while o1 Pro is better for long-context tasks (200,000 tokens).
Direct answer: choose o3 Deep Research for lower token spend and choose o1 Pro when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
o1 Pro
o3 Deep Research
Cost Differences
o3 Deep Research costs less than o1 Pro
Quick Recommendation
Winner for direct API pricing: o3 Deep Research. At the default workload, o3 Deep Research saves about $1,260.00/month ($15,330.00/year) versus o1 Pro.
Feature Comparison
| Feature | o1 Pro | o3 Deep Research |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $150.00/1M tokens | $10.00/1M tokens |
| Output Price | $600.00/1M tokens | $40.00/1M tokens |
| Context Window | 200,000 tokens | 200,000 tokens |
| Max Output | 100,000 tokens | 32,768 tokens |
| Category | flagship | reasoning |
| Capabilities | textvisioncodereasoning | textreasoningvisioncode |
| Release Date | 12/17/2024 | 6/26/2025 |
o1 Pro vs o3 Deep Research: Which Should You Choose?
Choosing between o1 Pro and o3 Deep Research depends on your priorities: cost efficiency, context length, or raw capability. o3 Deep Research is the more affordable option at $10.00/1M input tokens — 93% cheaper than o1 Pro.
These models target different tiers: o1 Pro is a flagship model while o3 Deep Research is reasoning. This means they're optimized for different workloads. o1 Pro is built for complex tasks that require deeper reasoning, while o3 Deep Research offers better value for routine operations.
Output costs matter too. o1 Pro charges $600.00/1M output tokens vs $40.00 for o3 Deep Research. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o3 Deep Research has the edge here at $40.00/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose o1 Pro when:
- • You need longer outputs (up to 100,000 tokens)
- • You're already using OpenAI's API ecosystem
Choose o3 Deep Research when:
- • Budget is a primary concern
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
o1 Pro
- • Input pricing: $150.00/M tokens
- • Output pricing: $600.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 100,000 tokens
Watch out for
- • Higher input cost than o3 Deep Research
- • Higher output cost than o3 Deep Research
o3 Deep Research
- • Input pricing: $10.00/M tokens
- • Output pricing: $40.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
o1 Pro (OpenAI)
o3 Deep Research (OpenAI)
Start using o1 Pro today
Sign Up for OpenAI →Start using o3 Deep Research today
Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, o1 Pro or o3 Deep Research?▼
What is the context window difference between o1 Pro and o3 Deep Research?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Related Comparisons
Related Articles
Learn when to pick each model, then compare live pricing scenarios.