The strongest choice for serious software engineering work, provided you can absorb the output-side pricing.
95
Coding
55
Writing
72
Research
0
Images
48
Value
85
Long Context
Use this when
Professional developers and engineering teams working with complex, multi-file codebases who need accurate code generation, debugging, and architectural reasoning.
Skip this if
Avoid if your primary needs are creative writing, image generation, or high-volume automated code tasks where output costs will compound rapidly.
Pricing
$1.25/1M in
$10.00/1M out
→0%since May 2026
Context
400k tokens
Speed
Balanced
Output cost of $10/1M tokens is the key budget consideration — input is competitively priced but output costs mirror GPT-4 Turbo-tier pricing. Best paired with a cheaper model for lightweight or repetitive coding subtasks. Context window of 400K is well-suited to monorepo analysis but verify token limits on your deployment tier.
Best-in-class code generation and debugging across major languages, outperforming Claude Sonnet 4.6 on complex multi-file refactoring tasks
400K context window allows ingestion of entire repositories, making whole-codebase understanding and refactoring practical
Strong reasoning over technical specifications, API documentation, and system design problems
Competitive pricing at $1.25/$10 per 1M tokens — cheaper input cost than GPT-4o's successor-tier competitors
Weaknesses
Output cost of $10/1M tokens adds up quickly in high-throughput code generation pipelines, making it expensive at scale compared to budget alternatives like GPT-4o-mini
Not optimized for creative writing, marketing copy, or general conversational use where Claude Sonnet 4.6 or Gemini 3.1 Pro perform comparably at lower cost
No native image generation capability despite the Codex-Max branding implying multimedia depth
Real-world use cases
What people actually use OpenAI: GPT-5.1-Codex-Max for.
Ingesting an entire Node.js monorepo (200K+ tokens) and generating a migration plan to TypeScript with file-by-file refactoring suggestions
Debugging a complex race condition in a distributed Go service by analyzing multiple interconnected files simultaneously
Generating a production-ready REST API with authentication, error handling, and test coverage from a detailed technical specification
Price History
OpenAI: GPT-5.1-Codex-Max pricing over time
→0% since May 9
48 data points · tracked daily since May 9, 2026
Ready to try it?
Start using OpenAI: GPT-5.1-Codex-Max
Professional developers and engineering teams working with complex, multi-file codebases who need accurate code generation, debugging, and architectural reasoning.. Start free — no card required.
Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
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Teams requiring a pinned, stable version of GPT-4 Turbo for reproducible outputs in long-document analysis or complex instruction pipelines.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
OpenAI: GPT-5.1-Codex-Max — added to UseRightAI
OpenAI: GPT-5.1-Codex-Max (OpenAI) is now indexed. It supersedes GPT-4o. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing.
OpenAI: GPT-5.1-Codex-Max is best for professional developers and engineering teams working with complex, multi-file codebases who need accurate code generation, debugging, and architectural reasoning.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.
When should I avoid OpenAI: GPT-5.1-Codex-Max?
Avoid if your primary needs are creative writing, image generation, or high-volume automated code tasks where output costs will compound rapidly.
What is a cheaper alternative to OpenAI: GPT-5.1-Codex-Max?
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.
What is a faster alternative to OpenAI: GPT-5.1-Codex-Max?
GPT-5.5 is the better pick when response time matters more than maximum depth or premium quality.
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