GPT-4o mini
LegacyGPT-4o mini is a cost-optimized GPT-4o-family model for high-volume chat, moderation, and routing layers where frontier quality is unnecessary.
Small multimodal LLM · Release — · See vendor
Newer version: GPT-5.4 mini
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
- Ideal as a triage model in multi-step agents—watch for quality cliffs on complex reasoning.
- Pricing is attractive at scale—still log failures to catch systematic gaps.
Best use cases
- Use this when high-QPS customer chat first responders
- Use this when classification and tagging before expensive models
Tradeoffs
- Weaker on hardest reasoning vs full GPT-4o.
- Policy and safety behavior must be validated like any production model.
Technical details
Modalities, benchmarks, and release context.
Modalities
What goes in and what comes out.
- Inputs
- text, image
- Outputs
- text
- Capabilities
- tool use, vision, cost optimization
Benchmarks snapshot
Structured JSON for reproducible comparisons.
No benchmark data yet — see comparisons for relative performance.
Family lineup
Explore other versions in this family after you have the headline on this model.
Current family lineup
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-4.1 mini
Catalog entry for this named release; see the provider’s official documentation for modalities, pricing, and context limits.
OpenAI
GPT-5.4 nano
Catalog entry for this named release; see the provider’s official documentation for modalities, pricing, and context limits.
Learn & build
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