Analysis Summary
OpenAI o3 Mini is a compact reasoning model with a 200K context window, file input, tool use, and function calling. Its long context is useful for technical documentation, code repositories, and large structured inputs, while the integration features support workflow automation beyond simple text generation.
It fits code assistance, document-based planning, structured analysis, and controlled agents where cost matters. The supplied intelligence index is modest, so it should not be positioned as a replacement for newer flagship reasoning models on difficult problems. Vision is not listed, and the absence of detailed coding and instruction-following metrics limits confidence about more demanding autonomous work.
Use o3 Mini as a practical specialist for file-heavy and tool-enabled workflows. Pair it with a stronger model for high-stakes reasoning and final client-facing content.
Assessed September 7, 2026
Editorial notes
OpenAI o3 Mini provides 200K context, file input, and tool and function calling at moderate pricing, making it useful for structured reasoning and coding workflows despite a limited overall intelligence profile.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
OpenAI o3 Mini provides 200K context, file input, and tool and function calling at moderate pricing, making it useful for structured reasoning and coding workflows despite a limited overall intelligence profile.
How OpenAI: o3 Mini compares
OpenAI: o3 Mini ranks #204 of 435 AI models we track for overall intelligence. Its 200K-token context window is larger than 55% 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 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 | $1.10 | $0.001100 |
| Output | $4.40 | $0.004400 |
What would OpenAI: o3 Mini 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 756 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o3 Mini for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o3 Mini
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the reasoning_effort parameter, which can be set to..
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Frequently asked questions about OpenAI: o3 Mini
How much does OpenAI: o3 Mini cost?
OpenAI: o3 Mini costs $1.10 per million input tokens and $4.40 per million output tokens.
What is the context window of OpenAI: o3 Mini?
OpenAI: o3 Mini has a context window of 200,000 tokens (200K).
What can OpenAI: o3 Mini do?
OpenAI: o3 Mini supports tool use and function calling.
Who created OpenAI: o3 Mini?
OpenAI: o3 Mini is developed by OpenAI and was released on January 31, 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 7, 2026 8:38 pm