GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic... Built by OpenAI.
Prices updated
Input price
$1.25
per 1M tokens · Standard
Output price
$10
per 1M tokens · Standard
Input limit
400K
tokens
Output limit
128K
tokens
Input formats
Output formats
GPT-5.1-Codex-Max price history
2 price records since 9/25/2026
GPT-5.1-Codex-Max cost calculator
$75/month
Standard pricing
Overview
What is GPT-5.1-Codex-Max?
GPT-5.1-Codex-Max is a text & reasoning and vision and code & slms model from OpenAI. GPT-5.1-Codex-Max is OpenAI’s latest agentic coding model, designed for long-running, high-context software development tasks. It is based on an updated version of the 5.1 reasoning stack and trained on agentic... Its 400K context window and $1.25 input price make it a candidate for quality-focused production applications.
Rates
GPT-5.1-Codex-Max pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$1.25
Per 1M tokens
Cached input · Standard
$0.13
Per 1M tokens
Capabilities
GPT-5.1-Codex-Max Tools
Tools available when using GPT-5.1-Codex-Max through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Priced at $1.25 input and $10 output per million tokens.
- 400K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision and code & slms workloads in one model.
Limitations
- Generated tokens cost 8× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
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