OpenAI's unified flagship merging Codex and GPT, the first mainline reasoning model with frontier coding capability, featuring a million-token context and native computer use, leading knowledge-work and coding benchmarks for agentic automation.
OpenAI
| Item | Specification |
|---|---|
| Input | Text, image |
| Output | Text |
| Context | 1,050,000 tokens |
| Max Output | 128,000 tokens |
| Vision | ✓ Supported |
| Function Calling | ✓ Supported |
GPT-5.4 is OpenAI's frontier general reasoning model for complex professional work, coding, and agentic workflows. OpenAI provides the gpt-5.4 alias and the dated gpt-5.4-2026-03-05 snapshot, indicating a March 5, 2026 version snapshot; its knowledge cutoff is August 31, 2025. It accepts text and image inputs, produces text, and offers a 1,050,000-token context window with up to 128,000 output tokens. OpenAI has not disclosed its parameter count or detailed architecture.
Its central advance is combining a million-token context, five reasoning-effort levels from the default none through xhigh, and a broad agent toolchain in one model. In the Responses API, it supports Web Search, File Search, image generation as a tool, Code Interpreter, Hosted Shell, Apply Patch, Skills, Computer Use, MCP, and Tool Search.
none, low, medium, high, and xhigh—span low-latency answers through difficult professional analysis.| Feature | Benefit |
|---|---|
| Over-One-Million Context | More project material fits in one request, reducing information loss from chunking and summarization while supporting cross-file reasoning. |
| Five Reasoning Levels | Developers can tune quality, latency, and token cost by task value without switching models. |
| Broad Hosted Toolchain | Search, code execution, shell, patching, and computer interaction form an end-to-end execution loop with less external orchestration. |
| Dynamic Tool Discovery | Tool Search and MCP load relevant capabilities from large catalogs on demand, reducing context spent on irrelevant tools. |
| Vision-Text Fusion | Screenshots, charts, and designs can be analyzed alongside requirements, code, and retrieval results for broader professional workflows. |
| Structured System Integration | Function calling and Structured Outputs make responses easier to validate, route, and pass safely to downstream systems. |
Tiered by input prompt tokens (incl. cache): once over the threshold, the whole request is billed at the higher tier.
| Token Type | Short context ≤272K | Long context >272K |
|---|---|---|
| Input | $1.875$2.5-25% | $3.75$5-25% |
| Output | $11.25$15-25% | $16.875$22.5-25% |
| Cached input | $0.1875$0.25-25% | $0.375$0.5-25% |