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GPT-5.1 Codex Mini

Coding modelCodexGPT-5.1

OpenAI GPT-5.1 Codex Mini

Release date: 2025-11-14Updated: 2026-06-14 23:13:17.338508
Live demoGitHubHugging FaceCompare
Parameters
Not disclosed
Context length
No data
Chinese support
Not supported
Reasoning ability

OpenAI GPT-5.1 Codex Mini is an AI model published by OpenAI, released on 2025-11-14, for Coding model, with a 60.38 score on LiveBench.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

GPT-5.1 Codex Mini

Model basics

Reasoning traces
Supported
Thinking modes
Thinking modes not supported
Context length
No data
Max output length
No data
Model type
Coding model
Modality (in / out)
Text → Text
Release date
2025-11-14
Model file size
No data
MoE architecture
No
Total params / Active params
No data / N/A
Knowledge cutoff
No data
GPT-5.1 Codex Mini

Open source & experience

Code license
Proprietary
Weights license
Proprietary
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
GPT-5.1 Codex Mini

Official resources

Paper
DataLearnerAI blog
No blog post yet
GPT-5.1 Codex Mini

API details

API speed
3/5
💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.
Standard
TypeConditionInputOutput
Text-$0.250/ 1M$2.00/ 1M
Cache PricingPrompt Cache
TypeTTLWriteRead
Text-$0.0000/ 1M$0.025/ 1M
GPT-5.1 Codex Mini

Benchmark Results

GPT-5.1 Codex Mini currently shows benchmark results led by LiveBench (67 / 115, score 60.38). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

Thinking

General Knowledge

1 evaluations
Benchmark / mode
Score
Rank/total
LiveBench
Standard Mode
60.38
67 / 115

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GPT-5.1 Codex Mini

Publisher

OpenAI GPT-5.1 Codex Mini

Model Overview

OpenAI GPT-5.1 Codex Mini is an AI model published by OpenAI, released on 2025-11-14, for Coding model, with a 60.38 score on LiveBench.

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