What model ID should you use for whisper-1?

Use the exact model ID `whisper-1` in the request. Keep the ID unchanged when comparing results across routing tests.

How do you call whisper-1 through MixRoute?

The model record lists OpenAI-compatible access via POST /v1/chat/completions with model ID whisper-1.

How does whisper-1 compare with other models, and what should you compare?

Compare whisper-1 against models of similar capability and pricing on your actual workload. Evaluate latency, output quality, instruction following, and cost per task. Run side-by-side tests with your own prompts — the best model depends on your specific use case, not just benchmark scores.

When was whisper-1 released, and is it still maintained?

whisper-1 is listed with catalog status stable. The recorded release date is 2022-09-21. Check the model page for deprecation notices before you build a long-lived integration on it.

How should you evaluate whisper-1 before production?

Run representative quality, latency, and cost tests with `whisper-1` before moving production traffic.

How do you get a cache hit on whisper-1?

The current Whisper listing publishes no cache-read rate, so cached-prefix billing is not part of its pricing. Treat repeated prefixes as fresh input when you size the workload, and confirm with the provider before designing for a cache saving.

Can you call whisper-1 with the OpenAI SDK you already use?

Yes. whisper-1 is reachable through an OpenAI-compatible endpoint, so an existing OpenAI SDK client works after pointing the base URL at MixRoute and setting the model parameter to whisper-1 . Keep your current request and response handling.

Model detail

whisper-1

Provided by OpenAI

Pay-as-you-go

Whisper is OpenAI's open-source automatic speech recognition model, available via API as `whisper-1`. It supports transcription and translation across 50+ languages from audio files up to 25 MB. Accepts formats including mp3, mp4, wav, and webm. Priced per minute of audio duration, billed to the nearest second.

Model specs

Model ID: whisper-1

Context length: –
Max output: –
I/O modalities
Released: 2026-04

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

Pricing

Flat rate, unit: /1M Tokens

Input

$6.0000 /1M Tokens

Completion

$6.0000 /1M Tokens

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

OpenAI's open-source automatic speech recognition model, available via API as whisper-1

Whisper is OpenAI's open-source automatic speech recognition model, available via API as whisper-1. It supports transcription and translation across 50+ languages from audio files up to 25 MB. Accepts formats including mp3, mp4, wav, and webm.

What should you check before using it?

Confirm audio formats, sample rates, and pricing

Whisper supports the OpenAI SDK. Released 2022-09-21. The input price is $6.0000 per 1M tokens. Test a representative workload before production.

Why use it through MixRoute?

Swap the base URL, keep the Whisper client

MixRoute serves Whisper on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID whisper-1 and re-run your integration tests.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

OpenAI SDK

Call whisper-1 through MixRoute's OpenAI-compatible endpoint.

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

Token cost estimator

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

Input tokens

Output tokens

Requests / month

Cache hit rate –

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

FAQ

Whisper is OpenAI’s open-source automatic speech recognition model, available via API as `whisper-1`. It supports transcription and translation across 50+ languages from audio files up to 25 MB. Accepts formats including mp3, mp4, wav, and webm. Priced per minute of audio duration, billed to the nearest second.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

whisper-1

Create an API key

New users get $5 in free credits

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.

Create an API key View integration docs