o3 Deep Research vs o4-mini
o3 Deep Research vs o4-mini: o4-mini is cheaper for input-heavy usage ($1.10/M vs $10.00/M input tokens), while o4-mini is better for long-context tasks (2,000,000 tokens).
Direct answer: choose o4-mini for lower token spend and choose o4-mini 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 Deep Research
o4-mini
Cost Differences
o4-mini costs less than o3 Deep Research
Quick Recommendation
Winner for direct API pricing: o4-mini. At the default workload, o4-mini saves about $80.10/month ($974.55/year) versus o3 Deep Research.
Feature Comparison
| Feature | o3 Deep Research | o4-mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $10.00/1M tokens | $1.10/1M tokens |
| Output Price | $40.00/1M tokens | $4.40/1M tokens |
| Context Window | 200,000 tokens | 2,000,000 tokens |
| Max Output | 32,768 tokens | 131,072 tokens |
| Category | reasoning | reasoning |
| Capabilities | textreasoningvisioncode | textreasoningcode |
| Release Date | 6/26/2025 | 4/16/2025 |
o3 Deep Research vs o4-mini: Which Should You Choose?
Choosing between o3 Deep Research and o4-mini depends on your priorities: cost efficiency, context length, or raw capability. o4-mini is the more affordable option at $1.10/1M input tokens — 89% cheaper than o3 Deep Research. Meanwhile, o4-mini offers a significantly larger context window at 2,000,000 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: o4-mini would save you roughly $8,010.00/month compared to o3 Deep Research. For startups and indie developers, that difference can be significant.
Output costs matter too. o3 Deep Research charges $40.00/1M output tokens vs $4.40 for o4-mini. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. o4-mini has the edge here at $4.40/1M output tokens.
Multimodal capabilities: o3 Deep Research supports vision (image inputs) while o4-mini is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose o3 Deep Research when:
- • You need more capabilities (vision)
- • You're already using OpenAI's API ecosystem
Choose o4-mini when:
- • Budget is a primary concern
- • You need a larger context window (2,000,000 tokens)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
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 o4-mini
- • Higher output cost than o4-mini
- • Smaller context window than o4-mini
o4-mini
- • Input pricing: $1.10/M tokens
- • Output pricing: $4.40/M tokens
- • Context window: 2,000,000 tokens
- • Max output: 131,072 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
o3 Deep Research (OpenAI)
o4-mini (OpenAI)
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Which is cheaper, o3 Deep Research or o4-mini?▼
What is the context window difference between o3 Deep Research and o4-mini?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
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