o4-mini
OpenAI · o-series
Cost-effective reasoning model retained as a legacy reference after retirement from ChatGPT defaults.
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. OpenAI retired o4-mini from ChatGPT on February 13, 2026 while leaving API access unchanged, so it now reads better as a legacy route than a current public default.
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 compatibility-sensitive reasoning workflows that still rely on the older o-series behavior. For new public-facing OpenAI defaults, the GPT-5 family is now the more current recommendation.
Comparisons
Compared with o3, o4-mini usually trades some reasoning depth for lower operating cost. Compared with GPT-5 mini and GPT-5.3, o4-mini is now the older reasoning-leaning route in OpenAI’s public lineup. Compared with Gemini 2.5 Flash, choice usually depends on workload profile and ecosystem integration.