Analysis Summary
o4 Mini is a compact OpenAI model with text, image, and file input, a 200K context window, tool use, and function calling. Its listed price of $0.55 per million input tokens and $2.20 per million output tokens makes it suitable for repeated technical and structured calls. No benchmark results are included for this batch entry, so its capability relative to newer models remains unconfirmed.
The documented feature set fits code assistance, document processing, image-aware extraction, SEO operations, and lightweight agents. It can provide a useful middle layer between simple generation and premium reasoning, provided output quality is tested for the client’s domain. The model is less compelling for tasks that require the deepest analysis or highly distinctive brand writing.
Use it for scalable tool-connected workflows where multimodal input and cost control are both important.
Assessed August 9, 2026
Editorial notes
o4 Mini combines vision, file input, a 200K context window, tool use, and function calling at $0.55 per million input tokens. It is suited to affordable technical agents, but no benchmark results are available for this batch variant.
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DFO Verdict
o4 Mini combines vision, file input, a 200K context window, tool use, and function calling at $0.55 per million input tokens. It is suited to affordable technical agents, but no benchmark results are available for this batch variant.
How OpenAI: o4 Mini (batch) compares
Its 200K-token context window is larger than 55% of the models we list. At $0.55 per million input tokens it is cheaper than 37% 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 | $0.55 | $0.000550 |
| Output | $2.20 | $0.002200 |
What would OpenAI: o4 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 751 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o4 Mini (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o4 Mini (batch)
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning..
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Frequently asked questions about OpenAI: o4 Mini (batch)
How much does OpenAI: o4 Mini (batch) cost?
OpenAI: o4 Mini (batch) costs $0.55 per million input tokens and $2.20 per million output tokens.
What is the context window of OpenAI: o4 Mini (batch)?
OpenAI: o4 Mini (batch) has a context window of 200,000 tokens (200K).
What can OpenAI: o4 Mini (batch) do?
OpenAI: o4 Mini (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: o4 Mini (batch)?
OpenAI: o4 Mini (batch) is developed by OpenAI and was released on April 16, 2025.
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 4, 2026 8:38 pm