by OpenAI
GPT-5.4 supports configuring reasoning strength only through the /responses endpoint. To make lower-overhead reasoning available directly in the /chat endpoint, the GPT-5.4-Low model is provided. This model is based on GPT-5.4 with reasoning_effort preset to low. This model is designed for use cases that are sensitive to response latency and cost. By adopting a lighter reasoning strategy, it delivers stable responses with lower latency and higher throughput. It is well suited for high-concurrency conversations, real-time interactions, basic Q&A, and scenarios where deep reasoning is not required.
GPT-5.4 supports configuring reasoning strength only through the /responses endpoint. To make lower-overhead reasoning available directly in the /chat endpoint, the GPT-5.4-Low model is provided. This model is based on GPT-5.4 with reasoning_effort preset to low. This model is designed for use cases that are sensitive to response latency and cost. By adopting a lighter reasoning strategy, it delivers stable responses with lower latency and higher throughput. It is well suited for high-concurrency conversations, real-time interactions, basic Q&A, and scenarios where deep reasoning is not required.
gpt-5.4-low has a 400,000 token context window.
On AIHubMix, gpt-5.4-low costs $2.5 per million input tokens and $15 per million output tokens. Cached input reads are billed at $0.25 per million tokens.
gpt-5.4-low accepts text and image input.
gpt-5.4-low supports thinking, function calling, web, structured outputs and tool calling. Per-protocol parameter support is listed in the capability table on this page.
gpt-5.4-low is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to gpt-5.4-low — no other code changes needed.
gpt-5.4-low is developed by OpenAI. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use gpt-5.4-low via the AIHubMix unified API — one interface for every major LLM.