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Model details

GPT-5.1 Codex (Azure)

GPT-5.1 Codex (Azure) sits inside the gpt-codex family and is offered through Microsoft Azure's hosted model lineup, where it appears alongside related coding variants such as GPT-5.1-Codex-Mini and GPT-5.1-Codex-Max, signaling a family positioning aimed squarely at software-engineering workloads. The model is surfaced with a 272,000-token context window and a 128,000-token maximum output, which together support long, multi-file sessions, repository-scale reasoning, and extended agentic traces where prompts and tool exchanges accumulate quickly. Pricing under both the Microsoft Azure and Eden AI channels is identical and has been stable since first tracking, reinforcing its role as a steady deployment option for teams that already operate inside Azure or aggregate routes through Eden AI.

Practically, the combination of a very large context budget and a sizeable output ceiling makes this variant attractive for code generation, refactoring across large codebases, and tool-driven developer agents that need to maintain state across many turns. Teams running it on Azure benefit from familiar enterprise integration points, while those using Eden AI get the same pricing and limits through a third-party aggregator without changing the underlying model behavior. Because the variant is closed-weights and offered only through these hosted channels, it is best suited to organizations that want a managed coding model with predictable costs rather than to teams looking to self-host or fine-tune weights locally.

Eden AIazure/gpt-5.1-codexgpt-codex

Quick Info

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Provider
Eden AI
Model key
azure/gpt-5.1-codex
Release date
Nov 13, 2025
Last updated
Nov 13, 2025
Knowledge cutoff
2024-09-30
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.25
Output token cost
$10.00

Limits

Output tokens
128,000 tokens
Context window
272,000 tokens

Transparent token rates

Compare GPT-5.1 Codex (Azure) pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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