openai

OpenAI: Whisper 1

openai/whisper-1

Our take

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

According to its OpenRouter catalog entry, openai/whisper-1 is OpenAI's open-source automatic speech recognition model offered via API under the whisper-1 identifier. The catalog describes an audio-to-transcription modality and reports support for transcription and translation across more than 50 languages, with audio inputs up to 25 MB. Because the only evidence in this source pack is the catalog listing and an independent model card was not available, accuracy and performance characteristics remain unverified; the catalog provides no measured benchmark results.[1]

Strengths

The OpenRouter catalog reports speech transcription and translation across more than 50 languages.[1]
The catalog lists audio input files up to 25 MB and describes the model as accessible through a hosted API.[1]
The catalog describes the underlying model as open source.[1]

Limitations

Only catalog-listing evidence is supplied and an independent model card was not available in this source pack, so accuracy and latency should be validated on real workloads.[1]
The catalog reports no benchmark measurements or other measured performance data.[1]
The catalog lists audio as the sole input modality and transcription as the sole output; no other modalities are documented.[1]

Where to use it

A plausible candidate for hosted transcription of recorded audio files within the catalog-reported size limit.[1]
May suit multilingual speech translation workflows, subject to validating language coverage and output quality.[1]

Sources

[1] OpenRouter catalog · OpenAI: Whisper 1Sources checked: Nov 13, 2026

About this model

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

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...

Specifications

Model ID: openai/whisper-1
Creator: openai
Added to OpenRouter: 27.04.2026
Context length: 0
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	0	—	—	—	—	100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.