OpenAI: o4 Mini
Analysis Summary
OpenAI o4 Mini is a compact reasoning model with an intelligence index of 25.6, a livecodebench score of 0.859, and a math index of 90.7, making it exceptional for coding and mathematical tasks relative to its price. Vision, tool use, function calling, and a 200K context window give it broad capability coverage. The agentic index of 35.4 and tau2 of 0.556 show solid but not frontier-level agentic reliability.
For businesses, o4 Mini is a strong fit for coding assistance, mathematical analysis, structured extraction, and multimodal workflows where cost efficiency matters. Its coding benchmarks rival much more expensive models, making it particularly attractive for software engineering pipelines at scale. Complex multi-step agentic tasks may benefit from the full o3 model.
At $1.10 input and $4.40 output per million tokens, it delivers outstanding price-performance for coding and math-heavy workloads. Teams wanting near-frontier coding capability without frontier pricing will find o4 Mini a compelling option.
Assessed June 30, 2026
Editorial notes
OpenAI o4 Mini combines exceptional coding and math benchmarks with vision, tool use, and a 200K context at a mid-tier price, making it one of the best-value reasoning models available.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
OpenAI o4 Mini combines exceptional coding and math benchmarks with vision, tool use, and a 200K context at a mid-tier price, making it one of the best-value reasoning models available.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
25.6 Intelligence IndexĀ·35.4 Agentic IndexĀ·90.7 Math Index
How OpenAI: o4 Mini compares
OpenAI: o4 Mini ranks #113 of 393 AI models we track for overall intelligence, #117 of 300 for agentic tasks. Its 200K-token context window is larger than 63% of the models we list. At $1.10 per million input tokens it is cheaper than 23% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. 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 āPricing
| 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 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 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: o4 Mini for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: o4 Mini
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..
Frequently asked questions about OpenAI: o4 Mini
How much does OpenAI: o4 Mini cost?
OpenAI: o4 Mini costs $1.10 per million input tokens and $4.40 per million output tokens.
What is the context window of OpenAI: o4 Mini?
OpenAI: o4 Mini has a context window of 200,000 tokens (200K).
What can OpenAI: o4 Mini do?
OpenAI: o4 Mini supports image/vision input, tool use, and function calling.
Who created OpenAI: o4 Mini?
OpenAI: o4 Mini is developed by OpenAI and was released on April 16, 2025.
