GPT-5.1-Codex-Mini
VerifiedMultimodal coding model with 400k-token context from OpenAI.
About GPT-5.1-Codex-Mini
GPT-5.1-Codex-Mini uses a compact multimodal design that processes both images and text. Its 400000-token context window supports long documents or code repositories paired with visual references. The model remains proprietary with no open weights released.
Key strengths center on efficient handling of combined visual and textual coding tasks. Large context capacity reduces the need for chunking extensive inputs. As a mini variant it balances capability with lower resource demands than full-scale siblings.
Typical usage includes generating or reviewing code from diagrams and screenshots. Developers apply it to visual debugging, documentation analysis, and multimodal instruction following. It suits production environments that require high context limits without open-source deployment.
Capabilities
How GPT-5.1-Codex-Mini compares
GPT-5.1-Codex-Mini (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · GPT-5.1-Codex-Mini ranks #50 of 122
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Large-Scale Codebase Management
The model handles extensive code repositories through its 400,000-token context window, supporting analysis and modifications across large projects.
Multimodal Document Processing
It performs document summarization by combining text and image inputs for comprehensive understanding and condensed outputs.
Vision-Enabled Code Review
Developers can use its vision understanding to review code snippets embedded in screenshots or diagrams alongside textual explanations.
Strengths & limitations
Strengths
- +Very large context window
- +Strong coding specialization
- +Native image + text support
- +Suitable for extended technical workflows
Limitations
- –Mini variant may have reduced depth on complex reasoning
- –Limited to image and text modalities
- –Trade-off between context size and response speed
Cost calculator
Estimate what GPT-5.1-Codex-Mini would cost for your usage.
Based on GPT-5.1-Codex-Mini's $0.25/1M input · $2.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "openai/gpt-5.1-codex-mini",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: openai/gpt-5.1-codex-mini
Editor's verdict
GPT-5.1-Codex-Mini is OpenAI's proprietary multimodal with a 400K-token context window.
At $2.00 per 1M output tokens, it is mid-priced for its class.
It is available through OpenAI's API and aggregators like OpenRouter.
Best suited to very large context window and strong coding specialization.
Frequently asked questions
The model provides a context window of 400,000 tokens.
User reviews
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