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고급 코딩 능력 OpenAI에 의해 최적화됨 효율적인 코드 생성

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오픈 소스가 아님 잠재적 사용 제한 존재 내부 아키텍처 비공개

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소스 코드 자동 생성 프로그램 버그 수정 개발 워크플로 효율성 개선

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OpenAI독점

OpenAI GPT-5.1 Codex Mini

Name: OpenAI GPT-5.1 Codex Mini
Author: OpenAI

OpenAI에서 개발한 OpenAI GPT-5.1 Codex Mini는 프로그래밍에 특화된 기초 모델입니다. 코드 생성 및 개발 효율성을 향상시키기 위해 설계되었습니다.

파라미터

Undisclosed

컨텍스트

라이선스

Proprietary

출시일

2025-11-14

API 가격

이 모델의 API 가격 정보는 현재 공개되지 않았습니다

강점

・고급 코딩 능력
・OpenAI에 의해 최적화됨
・효율적인 코드 생성

약점

・오픈 소스가 아님
・잠재적 사용 제한 존재
・내부 아키텍처 비공개

활용 사례

・소스 코드 자동 생성
・프로그램 버그 수정
・개발 워크플로 효율성 개선

심층 분석

Release Date

November 12-13, 2025

Context Window

400K tokens

Max Output

128K tokens

Input Price

$0.25 / 1M tokens

Output Price

$2.00 / 1M tokens

Modality

Text, Images, Audio, Video input

Design Focus

Steerability, front-end development, interactivity

License

Proprietary, Closed-source

강점

・Extremely cost-effective at $0.25/$2.00 per 1M tokens — 5x cheaper than GPT-5.1 Codex
・Large 400K context window despite being a 'mini' model
・Designed for steerability and front-end development workflows
・Supports multimodal input (text, images, audio, video)
・Good for high-volume coding tasks where cost is the primary concern

약점

・Lower coding accuracy than full GPT-5.1 Codex (SWE-bench 73.7% for Codex, no published score for Mini)
・No published benchmark scores for direct comparison
・Not suitable for complex multi-file architecture changes
・Lacks the deep reasoning of the full Codex or Codex-Max variants
・Limited to 'mini' quality — may struggle with subtle or complex code patterns

경쟁사 비교

Model	Arena	SWE	GPQA	Price
Claude Haiku 4	~1350	~45%	~72%	$0.25/$1.25 per 1M tokens
Gemini 3 Flash	~1370	~50%	~78%	$0.15/$0.60 per 1M tokens
GPT-5.1 Codex	~1400	73.7%	~88%	$1.25/$10 per 1M tokens
GPT-5 mini	~1340	~40%	~70%	$0.25/$2.00 per 1M tokens

개요

GPT-5.1 Codex Mini is OpenAI's cost-efficient coding model released November 12-13, 2025, designed for steerability, front-end development, and interactive coding workflows. At $0.25/$2.00 per 1M tokens with a 400K context window, it offers the best value for high-volume coding tasks. It is 5x cheaper than the full GPT-5.1 Codex while sharing the same context window capacity.

벤치마크 및 성능

GPT-5.1 Codex Mini does not have published SWE-bench or Terminal-Bench scores. The AIME 2025 score of 42.1% is the only published benchmark. It is designed for steerability and front-end development rather than deep reasoning. The model supports multimodal inputs (text, images, audio, video) and is optimized for interactive coding workflows. Its quality level is expected to be below GPT-5.1 Codex (SWE-bench 73.7%) but above GPT-5 mini.

상세 비교

GPT-5.1 Codex Mini is 5x cheaper than GPT-5.1 Codex ($0.25/$2 vs $1.25/$10) with the same 400K context window, but trades coding accuracy for cost. It competes with Claude Haiku 4 ($0.25/$1.25) and Gemini 3 Flash ($0.15/$0.60) on price. Compared to GPT-5 mini ($0.25/$2), it offers coding specialization at the same price. For production coding tasks, GPT-5.1 Codex or Codex-Max provide significantly better accuracy.

커뮤니티 평가

The model is valued for front-end development and interactive coding tasks where speed and cost matter more than accuracy. Developers appreciate the large context window at mini-tier pricing. The main complaint is the lack of published benchmarks, making it hard to evaluate against alternatives. It is popular for rapid prototyping, boilerplate generation, and code scaffolding but not trusted for critical production code.

활용 사례

Best for: front-end development and UI scaffolding, rapid prototyping, boilerplate code generation, high-volume code review triage, interactive coding sessions, code style enforcement, and localized bugfixes. NOT suitable for: complex multi-file refactoring, security-critical code, algorithm design, long-horizon autonomous coding, or tasks requiring maximum accuracy. Use GPT-5.1 Codex or Codex-Max for production-grade work.