OpenAI: GPT-4o-mini (batch)
Analysis Summary
GPT-4o-mini is a compact multimodal OpenAI model supporting text, image, and file input, alongside tool use and function calling. Its 128K context window is useful for substantial briefs and document fragments, while the listed price of $0.075 per million input tokens and $0.30 per million output tokens supports high-volume deployment. No benchmark results are included for this batch variant.
The feature set makes it a practical fit for SEO metadata, content transformation, image classification, document extraction, routing, and lightweight customer workflows. It can also serve as a low-cost tool-calling layer in larger systems. The absence of measured results means teams should validate nuanced instruction following and client-facing tone before broad adoption.
Use it as a volume and automation model where multimodality matters and task complexity remains controlled.
Assessed August 9, 2026
Editorial notes
GPT-4o-mini provides vision, file input, function calling, and a 128K context window at exceptionally low listed prices. It is well suited to high-volume structured workflows, though no benchmark data is supplied for this variant.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4o-mini provides vision, file input, function calling, and a 128K context window at exceptionally low listed prices. It is well suited to high-volume structured workflows, though no benchmark data is supplied for this variant.
How OpenAI: GPT-4o-mini (batch) compares
Its 128K-token context window is larger than 36% of the models we list. At $0.08 per million input tokens it is cheaper than 72% 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 technical 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 | $0.08 | $0.000075 |
| Output | $0.30 | $0.000300 |
What would OpenAI: GPT-4o-mini (batch) 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 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-4o-mini (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-4o-mini (batch)
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 (batch)
How much does OpenAI: GPT-4o-mini (batch) cost?
OpenAI: GPT-4o-mini (batch) costs $0.08 per million input tokens and $0.30 per million output tokens.
What is the context window of OpenAI: GPT-4o-mini (batch)?
OpenAI: GPT-4o-mini (batch) has a context window of 128,000 tokens (128K).
What can OpenAI: GPT-4o-mini (batch) do?
OpenAI: GPT-4o-mini (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-4o-mini (batch)?
OpenAI: GPT-4o-mini (batch) is developed by OpenAI and was released on July 18, 2024.