Parameters
-
Context Length
-
Modality
Text
Architecture
Dense
License
Proprietary
Release Date
17 Mar 2026
Knowledge Cutoff
-
| Benchmark | Score | Rank |
|---|---|---|
Mathematics high | 0.91 | 16 |
Agentic Coding high | 0.47 | 29 |
Agentic Coding max | 0.47 | 29 |
Reasoning high | 0.81 | 30 |
Reasoning max | 0.81 | 30 |
General high | 0.70 | 32 |
Data Analysis high | 0.68 | 36 |
Data Analysis max | 0.68 | 36 |
LiveBench Average high | 0.70 | 39 |
LiveBench Average max | 0.70 | 39 |
Coding high | 0.71 | 41 |
Coding max | 0.71 | 41 |
General Text high | 1402 | 87 |
Overall Rank
-
Coding Rank
-
GPT-5.4 nano is OpenAI's smallest and cheapest GPT-5.4 variant, optimized for tasks where speed and cost matter most. A significant upgrade over GPT-5 nano, recommended for classification, data extraction, ranking, and coding subagents handling simpler supporting tasks. Pricing: $0.20/M input, $1.25/M output. Available via API as gpt-5.4-nano. Released March 17, 2026.
Detailed architecture specifications are limited for proprietary models.
GPT-5.4 is OpenAI's most capable and efficient frontier model for professional work, combining the industry-leading coding capabilities of GPT-5.3-Codex with major advances in reasoning, computer use, and agentic workflows. It introduces native computer-use capabilities, tool search for large tool ecosystems, substantially improved knowledge work (spreadsheets, presentations, documents), and is OpenAI's most factual and token-efficient reasoning model. Supports up to 1M context tokens in Codex. Released March 5, 2026.
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