OpenAI: GPT-4o-mini
Analysis Summary
OpenAI's GPT-4o-mini is a multimodal model that accepts text, images, and files, with a 128K context window and support for tool use and function calling. The supplied benchmark results show limited reasoning and coding capability compared with stronger models, so it should not be treated as a dependable choice for difficult analysis or complex software work. Its broad input support and integration features are useful strengths for routine automation.
For agency workflows, it can handle document intake, image-aware assistance, and structured calls where the task is well defined and outputs can be checked. Listed pricing of $0.15 per million input tokens and $0.60 per million output tokens supports higher-volume use. Use it as a budget-oriented assistant for bounded work, with escalation paths for tasks where accuracy or reasoning depth matters.
Assessed September 23, 2026
Editorial notes
GPT-4o-mini combines vision, file input, function calling, and a 128K context window at comparatively low listed prices. Its measured reasoning and coding results are limited, so reserve it for routine tasks rather than complex analysis.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
GPT-4o-mini combines vision, file input, function calling, and a 128K context window at comparatively low listed prices. Its measured reasoning and coding results are limited, so reserve it for routine tasks rather than complex analysis.
Benchmarks
Artificial Analysis data refreshed Oct 8, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
How OpenAI: GPT-4o-mini compares
OpenAI: GPT-4o-mini ranks #320 of 435 AI models we track for overall intelligence, #164 of 198 for coding, #156 of 181 for agentic tasks. Its 128K-token context window is larger than 37% of the models we list. At $0.15 per million input tokens it is cheaper than 57% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.15 | $0.000150 |
| Output | $0.60 | $0.000600 |
What would OpenAI: GPT-4o-mini cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-4o-mini for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4o-mini
GPT-4o mini is OpenAI's newest model after GPT-4 Omni, supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable..
Frequently asked questions about OpenAI: GPT-4o-mini
How much does OpenAI: GPT-4o-mini cost?
OpenAI: GPT-4o-mini costs $0.15 per million input tokens and $0.60 per million output tokens.
What is the context window of OpenAI: GPT-4o-mini?
OpenAI: GPT-4o-mini has a context window of 128,000 tokens (128K).
Is OpenAI: GPT-4o-mini good for coding?
On our coding benchmark index, OpenAI: GPT-4o-mini ranks #164 of 198 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-4o-mini do?
OpenAI: GPT-4o-mini supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4o-mini?
OpenAI: GPT-4o-mini is developed by OpenAI and was released on July 18, 2024.