Model detail
GPT-4o Mini Transcribe
A compact OpenAI speech-recognition model that converts audio into text, with improved transcription accuracy and language recognition over original Whisper models.
Model specs
- Model ID
-
gpt-4o-mini-transcribe
- Context length
- 16K
- Max output
- 2K
- I/O modalities
- Released
- 2025-03
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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
$1.2500 /1M Tokens
Completion
$5.0000 /1M Tokens
Audio input
$3.0000 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
A compact OpenAI speech-recognition model that converts audio into text
A compact OpenAI speech-recognition model that converts audio into text, with improved transcription accuracy and language recognition over original Whisper models.
What should you check before using it?
Confirm audio formats, sample rates, and pricing
GPT-4o Mini Transcribe supports streaming and the OpenAI SDK. Knowledge cutoff: 2024-06-01. Released 2025-03-20. It is billed at 1.25 USD per 1M tokens. Test a representative workload before production.
Why use it through MixRoute?
Swap the base URL, keep the GPT-4o Mini Transcribe client
MixRoute serves GPT-4o Mini Transcribe on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-4o-mini-transcribe and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Streaming
GPT-4o Mini Transcribe supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
OpenAI SDK
Call GPT-4o Mini Transcribe 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
This model has no cache-read price; caching is not counted
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FAQ
GPT-4o Mini Transcribe is a speech-to-text model that uses GPT-4o Mini to transcribe audio. It offers improved word error rate and language recognition at a lower cost than GPT-4o Transcribe.
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.