OpenAI: o4 Mini High
Analysis Summary
o4 Mini High is an OpenAI reasoning variant with a 200,000-token context window, vision, file input, tool use, and function calling. Those capabilities make the product shape relevant to document analysis, structured automation, and coding assistance. However, the supplied record contains no independent benchmark results for this specific variant, so its reasoning, coding, and instruction-following reliability cannot be established from the available data.
It is a plausible candidate for tool-connected content operations, long-document review, and moderate-complexity engineering support, provided teams test it against their own prompts and failure cases. The context is large enough for substantial briefs and code materials, though smaller than GPT-4.1's listed window. Pricing is $1.10 per million input tokens and $4.40 per million output tokens.
Pilot it in bounded workflows first, with escalation for high-stakes client deliverables until benchmark and task-level evidence is available.
Assessed August 9, 2026
Editorial notes
o4 Mini High offers vision, file input, tool use, and function calling with a 200K context and moderate pricing, but this variant has no independent benchmark evidence and should be validated before production adoption.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
o4 Mini High offers vision, file input, tool use, and function calling with a 200K context and moderate pricing, but this variant has no independent benchmark evidence and should be validated before production adoption.
How OpenAI: o4 Mini High compares
Its 200K-token context window is larger than 57% of the models we list. At $1.10 per million input tokens it is cheaper than 24% 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 | $1.10 | $0.001100 |
| Output | $4.40 | $0.004400 |
What would OpenAI: o4 Mini High 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 694 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o4 Mini High for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o4 Mini High
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..
Frequently asked questions about OpenAI: o4 Mini High
How much does OpenAI: o4 Mini High cost?
OpenAI: o4 Mini High costs $1.10 per million input tokens and $4.40 per million output tokens.
What is the context window of OpenAI: o4 Mini High?
OpenAI: o4 Mini High has a context window of 200,000 tokens (200K).
What can OpenAI: o4 Mini High do?
OpenAI: o4 Mini High supports image/vision input, tool use, and function calling.
Who created OpenAI: o4 Mini High?
OpenAI: o4 Mini High is developed by OpenAI and was released on April 16, 2025.
