Analysis Summary
o4 Mini High is an OpenAI model with text, image, and file input, tool use, function calling, and a 200K context window. Its listed price of $0.55 per million input tokens and $2.20 per million output tokens makes it viable for repeated technical calls and structured agent workflows. The supplied record contains no benchmark results for this specific variant, so its practical quality requires direct testing.
It fits code review, document analysis, visual extraction, planning, and assistants that must call external functions. The multimodal interface broadens its usefulness for marketing operations, while the long context supports substantial briefs and source files. It remains a specialist rather than an automatic replacement for premium models on complex reasoning or high-stakes copy.
Use it for cost-aware technical and agentic workflows that benefit from the higher-effort variant.
Assessed August 9, 2026
Editorial notes
o4 Mini High combines vision, file input, a 200K context window, tool use, and function calling at moderate pricing. It is a capable-looking technical workflow option, but this batch variant has no benchmark data.
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DFO Verdict
o4 Mini High combines vision, file input, a 200K context window, tool use, and function calling at moderate pricing. It is a capable-looking technical workflow option, but this batch variant has no benchmark data.
How OpenAI: o4 Mini High (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 business fit. 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 High (batch) 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 748 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o4 Mini High (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o4 Mini High (batch)
OpenAI o4-mini-high is the same model as o4-mini with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining..
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Frequently asked questions about OpenAI: o4 Mini High (batch)
How much does OpenAI: o4 Mini High (batch) cost?
OpenAI: o4 Mini High (batch) costs $0.55 per million input tokens and $2.20 per million output tokens.
What is the context window of OpenAI: o4 Mini High (batch)?
OpenAI: o4 Mini High (batch) has a context window of 200,000 tokens (200K).
What can OpenAI: o4 Mini High (batch) do?
OpenAI: o4 Mini High (batch) supports image/vision input, tool use, and function calling.
Who created OpenAI: o4 Mini High (batch)?
OpenAI: o4 Mini High (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 3, 2026 8:38 pm