openai

OpenAI: GPT-4o Mini Transcribe

openai/gpt-4o-mini-transcribe

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter's catalog describes openai/gpt-4o-mini-transcribe as an OpenAI audio-to-transcription model positioned as a smaller, cost-efficient speech-to-text option built on GPT-4o Mini audio capabilities. The listing reports audio input, transcription output, per-token prompt and completion pricing, and a large context window, but its benchmark fields are empty or null and no independent model card was included in this source pack. Treat capabilities as catalog-reported and validate accuracy, latency, language coverage, and workflow fit on representative audio before production use.[1]

Strengths

Catalog-reported single-purpose audio input to transcription output.[1]
Catalog description positions it as smaller and cost-efficient for transcription.[1]
Per-token pricing is reported, which may fit metered high-volume workflows.[1]

Limitations

Evidence is catalog-only; no independent model card was available in this source pack.[1]
No measured accuracy, latency, or benchmark results are reported in the supplied evidence.[1]
Supported parameters, reasoning, and knowledge cutoff are not reported; validate language coverage and audio quality needs on your workload.[1]

Where to use it

Consider for batch transcription pipelines where per-token metering matters.[1]
Potentially suitable for cost-sensitive speech-to-text prototypes, pending workload tests.[1]
May fit applications that need transcription output rather than general chat responses.[1]

Sources

[1] OpenRouter catalog · OpenAI: GPT-4o Mini TranscribeSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

GPT-4o Mini Transcribe is OpenAI's smaller, cost-efficient speech-to-text model built on GPT-4o Mini audio capabilities. It's priced per token (input and output), making it suitable for high-volume transcription workflows that...

Specifications

Model ID: openai/gpt-4o-mini-transcribe
Creator: openai
Added to OpenRouter: 01.05.2026
Context length: 128,000
Modality: audio->transcription
Input modalities: audio
Output modalities: transcription
Token pricing: No per-token price in the source snapshot — see OpenRouter for the billing unit
Knowledge cutoff: —
Expiration date: —

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

Task	Grade	Source-declared capability
General quality	No measurement	—
Coding	No measurement	—
Agents	No measurement	—
Writing	No measurement	—
Reasoning	No measurement	—
Document analysis	No measurement	—
Vision	No measurement	—
Image generation	No measurement	—
Audio	No measurement	input: audio
Video	No measurement	—
Embeddings	No measurement	—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

S — S — top 10% of the cohort
A — A — next 20% of the cohort
B — B — next 30% of the cohort
C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

Provider	Context length	Price in /1M	Price out /1M	Latency p50 (30m, s)	Throughput p50 (30m, tok/s)	Uptime (30m)
OpenAI	128,000	—	—	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.