Analysis Summary
OpenAI's GPT-5.1-Codex is a coding-focused multimodal model with a 400K context window, vision, tool use, and function calling. Its available intelligence result and product design support substantial codebase work, visual development tasks, and tool-driven engineering workflows over very large inputs.
The model is well suited to repository understanding, implementation, debugging, code review, and autonomous software agents. The record does not include a coding index or detailed coding benchmark results, so its comparative engineering reliability should be validated directly. Premium output pricing also argues for routing routine edits and low-risk generation to a cheaper model.
Use it for high-value engineering tasks where long context and integrated tools reduce operational friction. Treat it as a specialist coding deployment until broader benchmark evidence is available.
Assessed September 7, 2026
Editorial notes
GPT-5.1-Codex combines a 400K context, vision, tool use, and function calling with a coding-focused profile. Its premium pricing makes it best suited to high-value engineering and agent workflows rather than routine generation.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
GPT-5.1-Codex combines a 400K context, vision, tool use, and function calling with a coding-focused profile. Its premium pricing makes it best suited to high-value engineering and agent workflows rather than routine generation.
How OpenAI: GPT-5.1-Codex compares
OpenAI: GPT-5.1-Codex ranks #105 of 438 AI models we track for overall intelligence. Its 400K-token context window is larger than 75% of the models we list. At $1.25 per million input tokens it is cheaper than 23% 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 | $1.25 | $0.001250 |
| Output | $10.00 | $0.010000 |
What would OpenAI: GPT-5.1-Codex 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 779 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 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout OpenAI: GPT-5.1-Codex
GPT-5.1-Codex is a specialized version of GPT-5.1 optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks..
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Frequently asked questions about OpenAI: GPT-5.1-Codex
How much does OpenAI: GPT-5.1-Codex cost?
OpenAI: GPT-5.1-Codex costs $1.25 per million input tokens and $10.00 per million output tokens.
What is the context window of OpenAI: GPT-5.1-Codex?
OpenAI: GPT-5.1-Codex has a context window of 400,000 tokens (400K).
What can OpenAI: GPT-5.1-Codex do?
OpenAI: GPT-5.1-Codex supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5.1-Codex?
OpenAI: GPT-5.1-Codex is developed by OpenAI and was released on November 13, 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 18, 2026 8:38 pm