o3-mini
CurrentCompact reasoning-focused model in OpenAI’s o-series line aimed at strong STEM and coding performance with lower cost than full o3.
Reasoning LLM · Release — · See vendor
Updated 1 day ago · Verified Apr 2026 · Score 78
Decision summary
Why teams reach for it, where it fits, and what to watch for — before you dive into specs.
Why teams choose it
- Model cards change frequently—treat naming and pricing as moving targets.
- Pair with eval harnesses; reasoning models need task-specific routing.
Best use cases
- Use this when iDE assistants focused on bug fixing
- Use this when scientific literature extraction with verification steps
Tradeoffs
- Not always best for casual chat—mis-routing wastes tokens.
- Tool and multimodal parity may differ from GPT-4o.
Technical details
Modalities, benchmarks, and release context.
Modalities
What goes in and what comes out.
- Inputs
- text
- Outputs
- text
- Capabilities
- reasoning, coding, math
Benchmarks snapshot
Structured JSON for reproducible comparisons.
No benchmark data yet — see comparisons for relative performance.
Continue exploring
A short set of comparisons, nearby models, and links to go deeper — without repeating the same paths.
Compare with
Related models
OpenAI
GPT-4.1
Catalog entry for this named release; see the provider’s official documentation for modalities, pricing, and context limits.
OpenAI
GPT-5.4 mini
Catalog entry for this named release; see the provider’s official documentation for modalities, pricing, and context limits.
OpenAI
GPT-4.1 mini
Catalog entry for this named release; see the provider’s official documentation for modalities, pricing, and context limits.
Learn & build
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