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Model detail

GPT-4o Transcribe Diarize

Provided by OpenAI
Pay-as-you-go

An OpenAI transcription model with speaker diarization, producing text while identifying which speaker spoke each segment.

Model specs

Model ID
gpt-4o-transcribe-diarize
Context length
16K
Max output
2K
I/O modalities
Released
2026-10

02

API endpoints

One MixRoute gateway, OpenAI-compatible

  • OpenAI-compatible /v1/chat/completions POST

03

Pricing

Flat rate, unit: /1M Tokens

Input

$2.5000 /1M Tokens

Completion

$10.0000 /1M Tokens

Audio input

$6.0000 /1M Tokens

05

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

An OpenAI transcription model with speaker diarization

An OpenAI transcription model with speaker diarization, producing text while identifying which speaker spoke each segment.

What should you check before using it?

Confirm audio formats, sample rates, and pricing

GPT-4o Transcribe Diarize supports streaming and the OpenAI SDK. Knowledge cutoff: 2024-06-01. It is billed at 2.5 USD per 1M tokens. Test a representative workload before production.

Why use it through MixRoute?

Swap the base URL, keep the GPT-4o Transcribe Diarize client

MixRoute serves GPT-4o Transcribe Diarize on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID gpt-4o-transcribe-diarize and re-run your integration tests.

07

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Available:

Streaming

GPT-4o Transcribe Diarize supports streamed responses.

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

OpenAI SDK

Call GPT-4o Transcribe Diarize 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

GPT-4o Transcribe Diarize is an automatic speech recognition model with built-in speaker diarization. It associates audio segments with different speakers in a conversation.

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.