o4-mini vs o4-mini Deep Research
o4-mini vs o4-mini Deep Research: o4-mini is cheaper for input-heavy usage ($1.10/M vs $2.00/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)
o4-mini
o4-mini Deep Research
Cost Differences
o4-mini Deep Research costs more than o4-mini
Quick Recommendation
Winner for direct API pricing: o4-mini. At the default workload, o4-mini saves about $8.10/month ($98.55/year) versus o4-mini Deep Research.
Feature Comparison
| Feature | o4-mini | o4-mini Deep Research |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Input Price | $1.10/1M tokens | $2.00/1M tokens |
| Output Price | $4.40/1M tokens | $8.00/1M tokens |
| Context Window | 2,000,000 tokens | 200,000 tokens |
| Max Output | 131,072 tokens | 32,768 tokens |
| Category | reasoning | reasoning |
| Capabilities | textreasoningcode | textreasoningcode |
| Release Date | 4/16/2025 | 6/26/2025 |
o4-mini vs o4-mini Deep Research: Which Should You Choose?
Choosing between o4-mini and o4-mini Deep Research depends on your priorities: cost efficiency, context length, or raw capability. o4-mini is the more affordable option at $1.10/1M input tokens — 45% cheaper than o4-mini Deep Research. Meanwhile, o4-mini offers a significantly larger context window at 2,000,000 tokens vs 200,000 for o4-mini 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 $810.00/month compared to o4-mini Deep Research. For startups and indie developers, that difference can be significant.
Output costs matter too. o4-mini charges $4.40/1M output tokens vs $8.00 for o4-mini Deep Research. 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.
Best Use Cases
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
Choose o4-mini Deep Research when:
- • You're already using OpenAI's API ecosystem
Pros and Caveats at a Glance
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.
o4-mini Deep Research
- • Input pricing: $2.00/M tokens
- • Output pricing: $8.00/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
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
o4-mini (OpenAI)
o4-mini Deep Research (OpenAI)
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Which is cheaper, o4-mini or o4-mini Deep Research?▼
What is the context window difference between o4-mini and o4-mini Deep Research?▼
Which model is better for AI Agent / Agentic Workflows?▼
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