GPT-4o mini
OpenAI · GPT-4o
Lower-cost GPT-4o tier for high-volume multimodal assistant and automation workloads.
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.
GPT-4o mini is a cost-efficient multimodal tier intended for production workloads where volume and latency matter. It is commonly used as a default model for scalable assistant systems.
Capabilities
The model performs well on concise reasoning, extraction, summarization, and common workflow automation tasks. It supports multimodal patterns at lower operating cost than higher-end tiers.
Technical Details
GPT-4o mini uses large-context handling similar to broader GPT-4o family behavior but targets cost-performance optimization. It is effective when prompts are structured and outputs are validated.
Pricing & Access
Available through OpenAI API with lower token rates than flagship tiers. Since pricing and options evolve, verify current details in official OpenAI docs before production scaling.
Best Use Cases
Strong fit for high-throughput support assistants, operations automations, content normalization, and product features requiring reliable but cost-sensitive inference.
Comparisons
Compared with GPT-4o, GPT-4o mini usually trades some quality headroom for significantly lower cost. Compared with GPT-5 nano, selection depends on required multimodal depth and ecosystem strategy. Compared with Gemini 2.5 Flash-Lite, both target efficient scale with different platform tradeoffs.