o4-mini
OpenAI · o-series
Cost-effective reasoning model for teams needing stronger analysis than baseline tiers at lower cost.
Overview
Freshness note: Model capabilities, limits, and pricing can change quickly. This profile is a point-in-time snapshot last verified on February 15, 2026.
o4-mini is a reasoning-capable model tier designed to balance analytical strength with production-friendly cost. It is often used where teams want better reasoning than lightweight models without paying flagship rates.
Capabilities
The model handles structured decision tasks, planning, and medium-complexity technical analysis well. It is practical for systems that need reliable reasoning at scale.
Technical Details
o4-mini sits between throughput-focused low-cost tiers and premium reasoning tiers. It is a good candidate for routing architectures that reserve expensive models for only the hardest requests.
Pricing & Access
Available via OpenAI API model catalog where supported. Since pricing and availability can change, teams should verify current values from official OpenAI pricing documentation.
Best Use Cases
Good fit for triage planning, risk scoring, workflow policy checks, and engineering decision support where balanced quality and budget discipline are required.
Comparisons
Compared with o3, o4-mini usually trades some reasoning depth for lower operating cost. Compared with GPT-5 mini, o4-mini is often preferred for explicitly reasoning-heavy tasks. Compared with Gemini 2.5 Flash, choice usually depends on workload profile and ecosystem integration.