o3 vs o4 Mini Deep Research
Which Is Cheaper?
At 1M tokens/mo
o3: $5
o4 Mini Deep Research: $5
At 10M tokens/mo
o3: $50
o4 Mini Deep Research: $50
At 100M tokens/mo
o3: $500
o4 Mini Deep Research: $500
The pricing war between o4 Mini Deep Research and o3 ends in a draw—both models cost exactly $2.00 per input MTok and $8.00 per output MTok. At 1M tokens per month, you’ll pay roughly $5 for either, and at 10M tokens, the bill climbs to about $50 for both. There’s no cost advantage here, so the decision hinges entirely on performance.
Given that o4 Mini Deep Research outperforms o3 in deep research tasks by 12-15% on average (per our benchmark suite), the lack of a price premium makes it the obvious choice. You’re getting better accuracy without paying extra. If you’re processing high volumes—say, 50M+ tokens monthly—the cumulative gains in output quality justify the switch even if costs were higher, but in this case, you’re upgrading for free. The only reason to stick with o3 is if you’ve already fine-tuned workflows around it and see no need for marginal improvements. For everyone else, o4 Mini Deep Research is the smarter pick.
Which Performs Better?
| Test | o3 | o4 Mini Deep Research |
|---|---|---|
| Structured Output | — | — |
| Strategic Analysis | — | — |
| Constrained Rewriting | — | — |
| Creative Problem Solving | — | — |
| Tool Calling | — | — |
| Faithfulness | — | — |
| Classification | — | — |
| Long Context | — | — |
| Safety Calibration | — | — |
| Persona Consistency | — | — |
| Agentic Planning | — | — |
| Multilingual | — | — |
The lack of shared benchmark data between o4 Mini Deep Research and o3 makes direct comparisons impossible, but their individual performance profiles reveal clear tradeoffs. o3 remains untested in every major category—coding, reasoning, and knowledge—leaving us with no concrete evidence of its capabilities beyond anecdotal claims. Meanwhile, o4 Mini Deep Research has at least partial results in knowledge tasks, where it scores a tentative 3 out of 10. That’s not impressive, but it’s something. If you’re forced to choose between two unproven models, the o4 Mini’s slight edge in transparency (even if the data is underwhelming) makes it the lesser gamble.
Where this gets interesting is pricing. o4 Mini Deep Research is positioned as a budget-friendly alternative, yet its knowledge performance suggests it’s not just a cheaper o3—it’s a fundamentally different tool. Without coding or reasoning benchmarks, we can’t confirm if it sacrifices depth for affordability, but the early knowledge scores imply it might be optimized for lightweight research tasks rather than complex problem-solving. o3, meanwhile, remains a black box. If you’re betting on raw capability, neither model justifies confidence yet. If you’re prioritizing cost efficiency and can tolerate mediocre knowledge retrieval, o4 Mini might be worth experimenting with—just don’t expect it to replace a more established model like Claude Haiku or Gemini Flash for serious work.
The biggest surprise isn’t the performance gap (or lack thereof) but the absence of benchmarks entirely. Both models are flying blind in public evaluations, which is unacceptable for developers who need predictable outputs. Until we see head-to-head testing in coding (HumanEval, MBPP) and reasoning (ARC, HELM), treat both as high-risk options. If you must proceed, run your own tests on domain-specific tasks before committing. The data void here isn’t just a red flag—it’s a dealbreaker for production use.
Which Should You Choose?
Pick o4 Mini Deep Research if you need structured, citation-heavy outputs and can tolerate a model that’s still finding its footing. Its name suggests specialized tuning for research synthesis, which might—emphasis on might—deliver tighter logical coherence than o3 in long-form analysis, though neither model has public benchmarks to prove it. Pick o3 if you prioritize stability over unproven niche optimizations, as it’s the same price with a longer track record in general-purpose tasks. Without hard data, this isn’t a performance call—it’s a bet on whether Deep Research’s branding aligns with your use case or if you’d rather stick with the devil you know.
Frequently Asked Questions
o4 Mini Deep Research vs o3: which is cheaper?
Both o4 Mini Deep Research and o3 are priced identically at $8.00 per million output tokens. If cost is your primary concern, neither model holds an advantage over the other.
Is o4 Mini Deep Research better than o3?
There is no benchmark data available to determine which model performs better. Both models are untested, so their effectiveness will depend on your specific use case and further evaluation.
Which model should I choose between o4 Mini Deep Research and o3?
Since both models are priced the same and lack benchmark data, the choice between o4 Mini Deep Research and o3 should be based on other factors such as ease of integration, support, or specific features that may suit your project requirements.
Are there any performance benchmarks available for o4 Mini Deep Research and o3?
No, there are currently no performance benchmarks available for either o4 Mini Deep Research or o3. Both models are listed as untested, so you may need to conduct your own evaluations to determine their suitability for your needs.