o3 vs o3 Deep Research
o3 vs o3 Deep Research: o3 is cheaper for input-heavy usage ($2.00/M vs $10.00/M input tokens), while o3 is better for long-context tasks (1,000,000 tokens).
Direct answer: choose o3 for lower token spend and choose o3 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)
o3
o3 Deep Research
Cost Differences
o3 Deep Research costs more than o3
Quick Recommendation
Winner for direct API pricing: o3. At the default workload, o3 saves about $72.00/month ($876.00/year) versus o3 Deep Research.
Feature Comparison
| Feature | o3 | o3 Deep Research |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $2.00/1M tokens | $10.00/1M tokens |
| Output Price | $8.00/1M tokens | $40.00/1M tokens |
| Context Window | 1,000,000 tokens | 200,000 tokens |
| Max Output | 131,072 tokens | 32,768 tokens |
| Category | reasoning | reasoning |
| Capabilities | textreasoningvisioncode | textreasoningvisioncode |
| Release Date | 4/16/2025 | 6/26/2025 |
o3 vs o3 Deep Research: Which Should You Choose?
Choosing between o3 and o3 Deep Research depends on your priorities: cost efficiency, context length, or raw capability. o3 is the more affordable option at $2.00/1M input tokens — 80% cheaper than o3 Deep Research. Meanwhile, o3 offers a significantly larger context window at 1,000,000 tokens vs 200,000 for o3 Deep Research.
Both models are in the reasoning category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: o3 would save you roughly $7,200.00/month compared to o3 Deep Research. For startups and indie developers, that difference can be significant.
Output costs matter too. o3 charges $8.00/1M 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 has the edge here at $8.00/1M 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 o3 when:
- • Budget is a primary concern
- • You need a larger context window (1,000,000 tokens)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
Choose o3 Deep Research when:
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
o3
- • Input pricing: $2.00/M tokens
- • Output pricing: $8.00/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 131,072 tokens
Watch out for
- • Trade-offs are minor in this matchup.
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
- • Higher input cost than o3
- • Higher output cost than o3
- • Smaller context window than o3
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
o3 (OpenAI)
o3 Deep Research (OpenAI)
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