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AI model by OpenAI

GPT-4o mini for business

A compact, low-cost older OpenAI model for focused tasks, with vision, tool calling and structured outputs and a 128K token window.

  • Reviewed on September 24, 2026
  • OpenAI

Capability tiersRelative, not benchmarks

Reasoning Low
Coding Low
Vision Medium
Speed Very high
Price level Lowest
Context size Medium
Tool calling High
Structured output High

Key facts about GPT-4o mini

Model ID at review
gpt-4o-mini
Provider
OpenAI
Main category
General purpose
Open weights
No, available as a hosted service
Last reviewed
September 24, 2026

Fit

Where it fits and where it does not

Good at

  • Short, focused tasks at low cost.

  • Classification and tagging.

  • Structured outputs for simple extraction.

  • Reading simple images.

  • Existing systems already tuned for it.

Not the right choice for

  • Complex reasoning.

  • Very long inputs beyond 128K tokens.

  • New projects, where GPT-6 Luna is worth testing first.

  • Self-hosting.

Use cases

Business use cases we would use it for

Tagging and routing

Assigning categories to messages, products or records at low cost.

Simple extraction

Pulling a few fields from short text into JSON.

Short replies

Drafting short, templated responses for review.

Our notes

When we would choose it

GPT-4o mini is a compact, low-cost model that has powered a great many simple automations. At the time of review it is still available, with no deprecation notice of its own, and it supports images, tool calling and structured outputs with a 128K token context window.

It remains a reasonable choice for systems that already use it and work well. For new projects, we would test GPT-6 Luna first, since it is the current low-cost model in OpenAI's newest family and has a much larger context window.

Low-cost models are ideal for the high-volume parts of a workflow, such as tagging messages or extracting a few fields. The trick is to measure where they fail and send those cases elsewhere. A simple confidence check, or a rule that sends certain categories to a larger model, often gives most of the savings with little loss in quality.

If you depend on GPT-4o mini today, keep an eye on the OpenAI deprecations page. Older GPT-4o snapshots are already being shut down, and a planned test of a replacement is much easier than a forced one. See LLM integration.

Before you commit

Things to check before you commit

  • Newer options

    Test GPT-6 Luna on the same tasks. It may be better at a similar price level.

  • Lifecycle

    An older GPT-4o snapshot shuts down on October 23, 2026. Watch the deprecations page for mini.

  • Context

    The window is 128K tokens with a 16K token output limit.

  • Data terms

    Confirm retention and region settings.

Alternatives

Models to compare it with

GPT-6 Luna

OpenAI's most efficient model for focused, high-volume tasks, with vision, tool calling and structured outputs at the lowest price level in the family.

Claude Haiku 4.5

Anthropic's fastest and lowest-cost Claude model, with near-frontier intelligence for high-volume and real-time work.

Gemini 3.5 Flash-Lite

Google's lowest-cost current Gemini model for high-throughput work such as sub-agent tasks and document parsing.

Keep exploring

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