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Model details
GPT-5.4 (OpenAI)
GPT-5.4 is positioned as a single mainline model that brings together stronger reasoning, coding, computer-use automation, tool workflows, and long-context document handling under one roof, replacing the need to stitch specialized models together for complex jobs. Rather than introducing a new architecture or training paradigm, it acts as a consolidation point: the same underlying model powers a GPT-5.4 Thinking mode for harder analytical work in ChatGPT, developer-facing API endpoints aimed at coding agents and long-horizon tool use, and Codex integrations for software teams. The practical effect is that professionals working across spreadsheets, presentations, documents, codebases, and live software interfaces can rely on one model surface instead of switching contexts.
Where GPT-5.4 stands out qualitatively is in its appetite for multi-step, tool-rich work: deep research pipelines that need to call external tools and APIs, agentic coding tasks that combine planning with file and browser interaction, and document-heavy enterprise workflows where large inputs and structured outputs matter. Its thinking mode is designed for sustained chains of reasoning rather than single-turn answers, and its computer-use and tool-use capabilities make it well suited to automation teams building desktop and browser agents. For teams whose value comes from orchestrating many steps rather than asking isolated questions, GPT-5.4 reads as a professional workhorse; for casual chat or simple lookups, the added reasoning depth is likely overkill.
Quick Info
Powered by- Provider
- LLM Gateway
- Model key
- openai/gpt-5.4
- Release date
- Mar 5, 2026
- Last updated
- Mar 5, 2026
- Knowledge cutoff
- 2025-08-31
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $2.50
- Output token cost
- $15.00
Limits
- Input tokens
- 922,000 tokens
- Output tokens
- 128,000 tokens
- Context window
- 1,050,000 tokens
Transparent token rates
Compare GPT-5.4 (OpenAI) pricing
Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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