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OpenAIChat
GPT-5.4 nano
Budgetgpt-5.4-nanoLowest-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 id
gpt-5.4-nanoNot 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.

