Introducing GPT-5.4 mini and nano
Key point
OpenAI has released GPT-5.4 mini and nano, high-performance small models optimized for coding and subagent tasks.
Details
OpenAI has released GPT-5.4 mini and nano, high-performance small models optimized for coding and subagents tasks. These models are designed for handling large-scale workloads, with a focus on maximizing speed and efficiency.
GPT-5.4 mini shows significantly improved coding, reasoning, multimodal understanding, and tool-use capabilities compared to the existing GPT-5 mini, and is more than 2x faster. In particular, it demonstrates outstanding efficiency on major benchmarks such as SWE-Bench Pro and OSWorld-Verified, approaching the performance of the higher-tier GPT-5.4 model.
The smallest and most affordable GPT-5.4 nano is designed for coding subagents that perform classification, data extraction, ranking, and simple auxiliary tasks.
These models are optimized for environments where low-latency is key, such as:
- Coding assistants that require fast responses
- Subagents that perform auxiliary tasks in parallel
- Computer-using systems that interpret screenshots
- Multimodal applications that require real-time image reasoning
GPT-5.4 mini is now available in the API, Codex, and ChatGPT. It supports a 400k context window in the API, priced at $0.75 per 1 million input tokens and $4.50 per 1 million output tokens.
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