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Model detail

GPT-Audio Mini

Provided by OpenAI
Pay-as-you-go

A lower-cost GPT-Audio variant supporting audio input and output for audio-enabled conversational applications.

Model specs

Model ID
gpt-audio-mini
Context length
128K
Max output
16.384K
I/O modalities
Released
2025-10

02

API endpoints

One MixRoute gateway, OpenAI-compatible

  • OpenAI-compatible /v1/chat/completions POST

03

Pricing

Flat rate, unit: /1M Tokens

Input

$75.0000 /1M Tokens

Completion

$150.0000 /1M Tokens

05

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

A lower-cost GPT-Audio variant supporting audio input

A lower-cost GPT-Audio variant supporting audio input and output for audio-enabled conversational applications.

What should you check before using it?

Confirm audio formats, sample rates, and pricing

GPT-Audio Mini supports tool calling, streaming and the OpenAI SDK. Knowledge cutoff: 2023-10-01. Released 2025-10-06. It is billed at 10.00 USD per 1M tokens. Test a representative workload before production.

Why use it through MixRoute?

Swap the base URL, keep the GPT-Audio Mini client

MixRoute serves GPT-Audio Mini on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-audio-mini and re-run your integration tests.

07

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Available:

Tool calling

GPT-Audio Mini supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.
Available:

Streaming

GPT-Audio Mini supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.
Available:

OpenAI SDK

Call GPT-Audio Mini through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

08

Token cost estimator

Live estimate from this page's pricing, not an actual bill

This model has no cache-read price; caching is not counted

09

FAQ

For gpt-audio-mini, set the max_tokens or max_completion_tokens parameter to control spending per call. Start with a budget aligned to your typical response length and increase only when longer outputs are genuinely needed. Monitor token usage in the API response headers to tune your budget over time.

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.