The go-to model for large-codebase engineering tasks, but expensive output costs limit its appeal for high-throughput pipelines.
Professional software engineers who need a high-capacity model for large codebase analysis, complex refactoring, and multi-file code generation.
Exceptional multi-file and large codebase understanding across its 400K context window
Stronger code generation accuracy than GPT-4o, particularly in Python, TypeScript, and systems languages
Solid reasoning over complex software architecture and debugging chains
Competitive asymmetric pricing — cheap input cost makes ingesting large repos affordable
Output cost of $10/1M tokens is steep for high-volume code generation pipelines compared to Claude Sonnet 4.6 or Gemini 3.1 Pro
See what OpenAI: GPT-5.1-Codex actually costs at your usage level
Based on OpenAI: GPT-5.1-Codex API pricing: $1.25/1M input · $10/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
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→0% since May 9
4 data points · tracked daily since May 9, 2026
Professional software engineers who need a high-capacity model for large codebase analysis, complex refactoring, and multi-file code generation.. Start free — no card required.
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Pricing moves, ranking shifts, and capability updates.
OpenAI: GPT-5.1-Codex (OpenAI) is now indexed. It supersedes GPT-4o. The go-to model for large-codebase engineering tasks, but expensive output costs limit its appeal for high-throughput pipelines.
View modelOpenAI: GPT-5.1-Codex is best for professional software engineers who need a high-capacity model for large codebase analysis, complex refactoring, and multi-file code generation.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
You need fast, high-volume code completions on a tight budget or require multimodal capabilities like image understanding or generation.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
GPT-5.5 is the better pick when response time matters more than maximum depth or premium quality.
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You need fast, high-volume code completions on a tight budget or require multimodal capabilities like image understanding or generation.
Not a general-purpose creative or writing model — prose quality lags behind Claude Sonnet 4.6
No native image generation or multimodal output capabilities
GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.
GPT-4 Turbo (v1106) is an older snapshot of OpenAI's flagship GPT-4 Turbo model released in November 2023, offering a 128K context window with strong general-purpose reasoning and instruction-following capabilities. It predates later GPT-4 Turbo updates and GPT-4o, making it a legacy choice for workflows locked to this specific version.
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