OpenAI documents GPT-5.4 flagship model with 1.05M context window

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Official documentation outlines GPT-5.4, a flagship model tailored for coding and complex professional tasks. It features a 1,050,000-token context window, up to 128,000 output tokens, and configurable reasoning effort levels.

Key points

  1. Context window of 1,050,000 tokens with up to 128,000 maximum output tokens.
  2. Configurable reasoning effort supporting none (default), low, medium, high, and xhigh.
  3. Pricing set at $2.50 per 1M input tokens ($0.25 cached) and $15.00 per 1M output tokens.
  4. Prompts exceeding 272K input tokens incur 2x input and 1.5x output charges for the full session, with a 10% uplift for regional data processing.
  5. Available via Chat Completions, Responses API, and Batch endpoints, supporting advanced tools including hosted_shell, apply_patch, skills, mcp, and computer_use.
  6. Knowledge cutoff date is 31 August 2025, using the snapshot gpt-5.4-2026-03-05.

Why it matters

The massive context window paired with native agentic tools such as MCP, shell execution, and computer use provides robust capabilities for automated engineering workflows. However, the cost multiplier beyond 272K tokens requires careful architectural planning for large context ingestion.

Analysis

GPT-5.4's tool integration in the Responses API highlights OpenAI's focus on end-to-end coding and automation workloads via MCP, patching, and shell environments. The split pricing model for inputs beyond 272K tokens demonstrates the ongoing infrastructure cost pressures associated with million-token attention mechanisms.

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Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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