Analysis Summary
GPT-4o-mini is an economical OpenAI multimodal model with a 128K context window, vision, file input, tool use, and function calling. Its low pricing makes it practical for high-volume extraction, classification, templated content, and simple workflow actions.
The feature set supports useful production plumbing, but the supplied record has no model-specific reasoning, coding, or agentic benchmark data. Its older generation also makes it a weaker candidate for complex planning, demanding content strategy, or autonomous engineering. Human review and narrow task definitions remain important for client-facing output.
It is a reasonable budget component for routine automation, especially where multimodal input is needed and the workflow has strong validation.
Assessed September 7, 2026
Editorial notes
GPT-4o-mini combines low pricing with vision, file input, a 128K context window, tool use, and function calling. The older model lacks benchmark data here, so it is best limited to routine, low-risk workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-4o-mini combines low pricing with vision, file input, a 128K context window, tool use, and function calling. The older model lacks benchmark data here, so it is best limited to routine, low-risk workflows.
How OpenAI: GPT-4o-mini (batch) compares
Its 128K-token context window is larger than 35% 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 779 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..
Explore Related Models
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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 18, 2026 8:38 pm