Model detail
GPT-5.4 nano
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency use cases such as classification, data extraction, ranking, and sub-agent execution. The model prioritizes responsiveness and efficiency over deep reasoning, making it ideal for pipelines that require fast, reliable outputs at scale. GPT-5.4 nano is well suited for background tasks, real-time systems, and distributed agent architectures where minimizing cost and latency is essential.
Model specs
- Model ID
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gpt-5.4-nano
- Context length
- 400K
- Max output
- 128K
- I/O modalities
- Released
- 2026-03
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$0.2000 /1M Tokens
Completion
$1.2500 /1M Tokens
Cache read
$0.0200 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Nano model for fast efficient tasks
GPT-5.4 nano: GPT-5.4 nano is designed for tasks where speed and cost matter most like classification, data extraction, ranking, and sub-agents. Learn more in our Model guidance page. Reasoning.. 400,000-token context.
What should you check before using it?
400,000 context, 128,000 output
OpenAI model. Supports tool calling, structured outputs, function calling. Knowledge cutoff: 2025-08-31.
Why use it through MixRoute?
Drop-in via OpenAI-compatible endpoint on MixRoute
Set the model parameter to "gpt-5.4-nano" and use your MixRoute API key.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
GPT-5.4 nano supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
GPT-5.4 nano can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
GPT-5.4 nano supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
GPT-5.4 nano supports prompt caching under supported routing conditions.
Vision input
GPT-5.4 nano can process image inputs alongside text.
image_url content part alongside text messages.
OpenAI SDK
Call GPT-5.4 nano through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
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FAQ
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency use cases such as classification, data extraction, ranking, and sub-agent execution. The model prioritizes responsiveness and efficiency over deep reasoning, making it ideal for pipelines that require fast, reliable outputs at scale. GPT-5.4 nano is well suited for background tasks, real-time systems, and distributed agent architectures where minimizing cost and latency is essential.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.