GPT-4o mini Transcribe

GPT-4o mini Transcribe by OpenAI: $1.25 per 1M input and $5 per 1M output tokens. Call it with one OpenAI-compatible API key, compare it with similar models, start free.

Streaming

GPT-4o mini Transcribe is served by OpenAI and called through odnoga on /v1/audio/transcriptions, in the same OpenAI-compatible shape every other model on that endpoint uses.

Specification and price

VendorOpenAI
Model IDgpt-4o-mini-transcribe
Served on/v1/audio/transcriptions
CapabilitiesStreaming
Your plan
Per 1M tokensVendor costYour price on Free+7%
Input$1.25$1.34
Output$5$5.38
Cached input——

Vendor cost is the list price per million tokens as recorded in the odnoga catalog; your price applies your plan margin with the same formula that bills every request — see pricing. Pricing

Call it through odnoga

const form = new FormData();
form.set("model", "gpt-4o-mini-transcribe");
form.set("file", audioFile); // a File or Blob: mp3, wav, m4a, webm…

const res = await fetch("https://api.odnoga.com/v1/audio/transcriptions", {
  method: "POST",
  headers: { Authorization: `Bearer ${process.env.ODNOGA_API_KEY}` },
  body: form, // no Content-Type: fetch sets the multipart boundary
});

One endpoint, one key, one bill — /v1/audio/transcriptions takes the same shape whichever vendor is behind it. Swap the model id and odnoga handles keys, routing, limits and cost accounting.

What GPT-4o mini Transcribe can do

Everything below is what the model itself supports. Ask for something it does not do and odnoga tells you before the request reaches the provider, instead of returning a worse answer.

Streaming

Tokens arrive as they are produced, so your interface can answer immediately.

Beyond text

Listens to audio

Takes recorded speech as input.

How to use GPT-4o mini Transcribe

Derived from the odnoga catalog record for this model.

Best for

  • Turning text into speech, or speech into text, on the audio endpoints rather than the chat one.

Not the right pick when

  • Anything that needs to read an image — this model takes text only.
  • Agent loops that must call your functions — tool calling is not available here.
  • Pipelines that require guaranteed JSON — parse defensively or pick a model with enforced JSON.
  • Anything where a wrong answer is costly without a human check — no model in the catalog removes that requirement.

Practical tips through odnoga

  1. 01Pin the model id in a managed prompt version, so a model swap is a version change you can compare and roll back, not an edit in application code.
  2. 02Compare it against 2–8 other models on the same frozen test cases in the evaluation laboratory before you make it the production default.
  3. 03For repeated identical deterministic calls, odnoga answer reuse returns the stored answer and bills no vendor tokens — turn it off for creative output.
  4. 04Set a fallback model on the route so a vendor incident degrades quality instead of returning an error, and a per-tenant budget so one caller cannot spend the month.

What a month costs

1,000 calls a month, 10,000 input tokens and 2,000 output tokens each, at your Free price (vendor cost +7%):

Input (10M tokens)$13.44
Output (2M tokens)$10.75
Your cost per month on Free$24.19

Vendor list cost $22.50 + odnoga margin $1.69 (+7%). Cached input or answer reuse lowers it; odnoga records both numbers per request.

If GPT-4o mini Transcribe is not the one

Models that take the same kind of input, are priced the same way, and do the closest thing to what this one does. Not a quality ranking — odnoga does not benchmark models.

ModelContextInput / 1MOutput / 1MCapabilities
GPT-4o mini Transcribe—$1.25$5Streaming
GPT-4o Transcribe—$2.50$10Streaming
Gemini 3.5 Live Translate16K$3.50$21Streaming
Gemini 2.5 Pro TTS8K$1$20Batch

Questions

How much does GPT-4o mini Transcribe cost per 1M tokens?
OpenAI lists $1.25 / $5 per 1M input / output tokens in the odnoga catalog. Through odnoga you pay that vendor price plus your plan margin, and every request is recorded with both numbers.
What is GPT-4o mini Transcribe best for?
Turning text into speech, or speech into text, on the audio endpoints rather than the chat one.
Can I switch to GPT-4o mini Transcribe without changing my code?
Yes. odnoga exposes one OpenAI-compatible endpoint, so switching means sending "gpt-4o-mini-transcribe" as the model id — or changing it in the managed prompt version, with no application deploy.

All models · Pricing · Docs · Compare models in the evaluation lab

Where this model sits

One gateway, every model.