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GPT-5.4

OpenAI · GPT-5

API-ready GPT-5 premium model for difficult professional work, tool use, and computer-assisted tasks.

Part of GPT family · Other versions: GPT-5.5 Pro , GPT-5.5 , GPT-Rosalind , GPT-5.4 mini , GPT-5.4 nano , GPT-5.4-Pro , GPT-5.3 , GPT-5.3-Codex , GPT-5.2-Codex , GPT-5.2-Pro , GPT-5.2 , GPT-5-Codex , GPT-5 mini , GPT-5 , GPT-5 nano , GPT-4.1 , GPT-4o mini Transcribe , GPT-4o mini TTS , GPT-4o Transcribe , GPT-4o mini , GPT-4o
Type
language
Context
1M tokens
Max Output
128K tokens
Status
current
Input
$1.25/1M tok
Output
$7.5/1M tok
API Access
Yes
License
proprietary
reasoning coding agentic tool-use long-context computer-use professional-workflows
Released March 2026 · Updated April 26, 2026

Overview

Freshness note: Model capabilities, limits, and pricing can change quickly. This profile is a point-in-time snapshot last verified on April 26, 2026.

GPT-5.4 is OpenAI’s still-relevant premium GPT-5 model for difficult professional work. OpenAI’s March 5 launch positioned it as the general-purpose top tier for harder coding, analysis, and agentic workflows, with native computer-use support and long-context handling across API and Codex-style execution surfaces. As of April 26, 2026, GPT-5.5 is the newest OpenAI frontier route across eligible ChatGPT, Codex, and API workflows, but GPT-5.4 remains relevant for existing integrations, compatibility, and cost-routing decisions.

Capabilities

GPT-5.4 is built for tasks where a mediocre answer is expensive: multi-step technical analysis, code review, decision-ready memos, and longer tool-using agent loops. The launch framing also matters operationally: OpenAI now treats computer use as part of the top-tier model story rather than a separate novelty surface. That makes GPT-5.4 more relevant for agents that need to inspect interfaces, reason over screenshots, or work through multi-step task flows.

Technical Details

OpenAI’s March 5 launch says GPT-5.4 supports up to a 1M-token context window in API and Codex workflows. That is the top-level public capability claim and is what this repo stores in frontmatter. In practice, OpenAI also prices GPT-5.4 differently across short-context and long-context tiers, so teams should model prompt size intentionally rather than assume one flat pricing or behavior tier.

OpenAI also describes GPT-5.4 as the first mainline reasoning model to incorporate the frontier coding capabilities of GPT-5.3-Codex, while adding native computer use and tool-search improvements. That made it the March frontier general model, but not a guarantee that every Codex client defaults directly to GPT-5.4.

Pricing & Access

Current published standard API pricing splits into two tiers:

  • Short context: 1.25input/1.25 input / 7.50 output per 1M tokens
  • Long context: 2.50input/2.50 input / 11.25 output per 1M tokens

OpenAI lists GPT-5.4 across the API, ChatGPT, and Codex-adjacent execution surfaces, with ChatGPT availability varying by plan and rollout. Extended context has separate cost implications, so teams should model prompt sizes rather than only model name. Teams evaluating the newest OpenAI quality tier should compare GPT-5.4 against the now API-listed GPT-5.5 route rather than assuming GPT-5.4 is still the newest premium default.

Best Use Cases

Use GPT-5.4 for production assistants, code-heavy investigations, review workflows, and long-running tool-use chains where better reasoning quality justifies a premium over smaller GPT routes and an existing GPT-5.4 integration is already the right operational fit. It is still sensible when the workflow may escalate from drafting into analysis plus action instead of staying in pure chat.

Comparisons

  • GPT-5.5 (OpenAI): Newer frontier route across eligible ChatGPT, Codex, and API workflows.
  • GPT-5.2 (OpenAI): Stronger value when you want a current flagship API model without always paying premium-tier cost.
  • GPT-5.3-Codex (OpenAI): Important coding-specialized reference point that GPT-5.4 incorporates, but still not the same product role.
  • Claude Opus family (Anthropic): Another premium lane for complex reasoning and coding workloads.