OpenAI: GPT-4o-mini
Analysis Summary
GPT-4o-mini is OpenAI's lightweight multimodal model, supporting text, image, and file inputs alongside tool use and function calling. With a 128K context window and vision capability, it covers a broad range of everyday business tasks at a fraction of the cost of flagship models.
Its reasoning depth is limited compared to larger models, and coding performance is modest, so it is not suited for complex software engineering or deep analytical work. Where it excels is in high-volume, cost-sensitive workflows: content drafting, structured data extraction, image-based tasks, customer-facing automation, and SEO content pipelines.
At $0.15 per million input tokens and $0.60 output, it is one of the most cost-effective multimodal options from a major provider. Teams looking to run large-scale content or classification tasks without breaking budget will find it a reliable workhorse, best paired with a stronger model for tasks requiring deeper reasoning.
Assessed July 10, 2026
Editorial notes
GPT-4o-mini from OpenAI offers vision, tool use, function calling, and a 128K context window at very low cost, making it a strong choice for high-volume, cost-sensitive business automation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4o-mini from OpenAI offers vision, tool use, function calling, and a 128K context window at very low cost, making it a strong choice for high-volume, cost-sensitive business automation.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
6.9 Intelligence IndexĀ·11.4 Coding IndexĀ·14.7 Math Index
How OpenAI: GPT-4o-mini compares
OpenAI: GPT-4o-mini ranks #293 of 393 AI models we track for overall intelligence, #128 of 157 for coding. Its 128K-token context window is larger than 41% of the models we list. At $0.15 per million input tokens it is cheaper than 58% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| 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.
Full calculator with 612 models ā Price Calculator
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..
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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 #128 of 157 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.
