OpenAI: GPT-5.1-Codex-Mini
Analysis Summary
OpenAI GPT-5.1-Codex-Mini is a compact engineering model with unusually strong measured coding, mathematics, instruction following, and tool-oriented results for its tier. A 400,000-token context window, vision, tool use, and function calling support repository work, automated edits, and developer workflows without sacrificing document capacity.
It is well suited to code review, test generation, issue triage, refactoring, and high-volume engineering automation. The Codex focus makes it less appropriate for sophisticated brand writing or broad strategic analysis, and autonomous changes still require testing and approval. Its strong terminal and task-oriented results make it more useful than a conventional low-cost assistant for development pipelines.
Low input and output prices materially improve its operational economics. Use it for routine and scalable coding traffic, reserving a more capable general model for ambiguous architecture or high-consequence decisions.
Assessed August 9, 2026
Editorial notes
GPT-5.1-Codex-Mini delivers strong coding and reasoning results at low token prices, with a 400K context window, vision, tool use, and function calling. It is a compelling volume engineering model, with less breadth than premium general systems.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.1-Codex-Mini delivers strong coding and reasoning results at low token prices, with a 400K context window, vision, tool use, and function calling. It is a compelling volume engineering model, with less breadth than premium general systems.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
31.3 Intelligence Index·91.7 Math Index
How OpenAI: GPT-5.1-Codex-Mini compares
OpenAI: GPT-5.1-Codex-Mini ranks #119 of 432 AI models we track for overall intelligence. Its 400K-token context window is larger than 76% of the models we list. At $0.25 per million input tokens it is cheaper than 52% 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 | $0.25 | $0.000250 |
| Output | $2.00 | $0.002000 |
What would OpenAI: GPT-5.1-Codex-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 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save OpenAI: GPT-5.1-Codex-Mini for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
Frequently asked questions about OpenAI: GPT-5.1-Codex-Mini
How much does OpenAI: GPT-5.1-Codex-Mini cost?
OpenAI: GPT-5.1-Codex-Mini costs $0.25 per million input tokens and $2.00 per million output tokens.
What is the context window of OpenAI: GPT-5.1-Codex-Mini?
OpenAI: GPT-5.1-Codex-Mini has a context window of 400,000 tokens (400K).
What can OpenAI: GPT-5.1-Codex-Mini do?
OpenAI: GPT-5.1-Codex-Mini supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.1-Codex-Mini?
OpenAI: GPT-5.1-Codex-Mini is developed by OpenAI and was released on November 13, 2025.