Analysis Summary
o3 Mini High is an OpenAI model with a 200K context window, file input, tool use, and function calling. Its low pricing creates a useful cost profile for structured analysis, document processing, and repeated API workflows that do not require image input.
The model could support internal research, extraction, routing, and bounded agent actions, but the supplied record contains no model-specific benchmark data to verify reasoning, coding, or tool reliability. It should therefore be tested against representative client tasks before handling autonomous decisions or polished external communications.
Pilot it as an economical analytical and tool-use component, with escalation to a better-validated model for complex or high-risk work.
Assessed September 7, 2026
Editorial notes
o3 Mini High offers a 200K context window, file input, tool use, and function calling at low pricing. With no model-specific benchmark data supplied, it is best evaluated for bounded reasoning and automation tasks.
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DFO Verdict
o3 Mini High offers a 200K context window, file input, tool use, and function calling at low pricing. With no model-specific benchmark data supplied, it is best evaluated for bounded reasoning and automation tasks.
How OpenAI: o3 Mini High (batch) compares
Its 200K-token context window is larger than 52% 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: o3 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 798 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o3 Mini High (batch) for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o3 Mini High (batch)
OpenAI o3-mini-high is the same model as o3-mini with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and..
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Frequently asked questions about OpenAI: o3 Mini High (batch)
How much does OpenAI: o3 Mini High (batch) cost?
OpenAI: o3 Mini High (batch) costs $0.55 per million input tokens and $2.20 per million output tokens.
What is the context window of OpenAI: o3 Mini High (batch)?
OpenAI: o3 Mini High (batch) has a context window of 200,000 tokens (200K).
What can OpenAI: o3 Mini High (batch) do?
OpenAI: o3 Mini High (batch) supports tool use and function calling.
Who created OpenAI: o3 Mini High (batch)?
OpenAI: o3 Mini High (batch) is developed by OpenAI and was released on February 12, 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 22, 2026 8:38 pm