Model detail
GPT-5 nano 20250807
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger counterparts, it retains key instruction-following and safety features. It is the successor to GPT-4.1-nano and offers a lightweight option for cost-sensitive or real-time applications.
Model specs
- Model ID
-
gpt-5-nano-2025-08-07
- Context length
- 400K
- Max output
- 128K
- I/O modalities
- Released
- 2025-08
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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
$0.0500 /1M Tokens
Completion
$0.4000 /1M Tokens
Cache read
$0.0050 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Ultra-fast developer tools and real-time interactions
Use GPT-5-Nano for developer tools, rapid interactions, and ultra-low latency environments. It retains key instruction-following and safety features while being the most cost-effective option in the GPT-5 series.
What should you check before using it?
Confirm accuracy for your task class
GPT-5-Nano has limited reasoning depth compared to larger models. Test your developer tools and rapid interaction tasks to confirm the accuracy meets your requirements. Knowledge cutoff: 2024-05-31.
Why use it through MixRoute?
Swap the base URL, keep the GPT-5 nano client
MixRoute serves GPT-5 nano on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-5-nano-2025-08-07 and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
GPT-5 nano supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
GPT-5 nano can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
GPT-5 nano supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
GPT-5 nano supports prompt caching under supported routing conditions.
Vision input
GPT-5 nano can process image inputs alongside text.
image_url content part alongside text messages.
OpenAI SDK
Call GPT-5 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
To get a cache hit on gpt-5-nano-2025-08-07, send requests with identical prompt prefixes. The cache is keyed by the beginning of your prompt; as long as the prefix matches a previous request, subsequent calls benefit from the lower cached rate. Keep system messages and initial context consistent across calls for best results.
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.