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GPT-5.4 nano

Budget
OpenAIChatgpt-5.4-nano

Lowest-cost OpenAI tier — classification, routing, bulk processing.

Capabilities

Tool callingVisionJSON modePrompt cache

Recommended for

  • classification
  • routing
  • lowest-latency lightweight tasks

Using this model through Conduix

Call it by its id, or let a routing alias pick it as part of a governed, cross-provider chain with automatic failover.

Direct model idgpt-5.4-nano

Not currently part of a routing alias — request it by id.

Get started

Conduix is OpenAI-API-compatible — point any OpenAI SDK at https://api.conduix.ai/v1 and pass gpt-5.4-nano as the model.

from conduix import Conduix

client = Conduix(api_key="cx_live_YOUR_KEY")  # base URL is built in

response = client.chat.completions.create(
    model="gpt-5.4-nano",
    messages=[{"role": "user", "content": "Hello, Conduix!"}],
)
print(response.choices[0].message.content)
  • Tool calling: Pass a tools array and the model calls your functions.
  • Vision: Accepts image inputs — add image_url parts to a message.
  • JSON mode: Set response_format for guaranteed-valid JSON output.
  • Prompt cache: Repeated prompt context is billed at a reduced rate.

The response's x-conduix-model-served header tells you exactly which model answered. See the quickstart for keys, headers, and usage.