OpenAI: GPT-4o-mini
Analysis Summary
GPT-4o-mini is OpenAI's compact multimodal model with a 128,000-token context window, image and file input, tool use, function calling, and very low listed pricing. Its benchmark results show useful general knowledge, instruction following, coding assistance, and agentic capability for a small model.
It is well suited to high-volume SEO formatting, content repurposing, classification, summaries, customer-support drafts, and straightforward API workflows. The long context allows substantial source material, while vision and files broaden its role in marketing operations. Its lower intelligence and coding results mean complex reasoning, sensitive editorial judgement, and autonomous engineering require escalation.
Use it as the default volume tier for routine, reviewable work. Reserve a stronger model for strategy, nuanced brand voice, difficult code, and high-stakes client deliverables.
Assessed September 7, 2026
Editorial notes
GPT-4o-mini delivers a 128K context, vision, file input, tools, and very low pricing, making it a strong volume model for routine content and automation despite limited reasoning depth.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4o-mini delivers a 128K context, vision, file input, tools, and very low pricing, making it a strong volume model for routine content and automation despite limited reasoning depth.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
6.7 Intelligence Index·11.4 Coding Index·1 Agentic Index·14.7 Math Index
How OpenAI: GPT-4o-mini compares
OpenAI: GPT-4o-mini ranks #331 of 437 AI models we track for overall intelligence, #178 of 209 for coding, #171 of 191 for agentic tasks. Its 128K-token context window is larger than 35% of the models we list. At $0.15 per million input tokens it is cheaper than 61% 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.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 772 models → 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..
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 #178 of 209 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.