fish-audio
Fish Audio: Transcribe 1
fish-audio/transcribe-1
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 fish-audio/transcribe-1 as a dedicated Fish Audio speech-to-text model that accepts audio and returns transcription output. The catalog reports automatic language detection and says it can produce timestamps for individual words when alignment details are requested. No independent model card or measured benchmark results were included in this source pack, so these capabilities should be treated as catalog-reported and validated against representative audio before production use.[1]
Strengths
Limitations
- Evidence is limited to the OpenRouter catalog; no independent model card was available in this source pack.[1]
- No measured benchmark results were supplied; accuracy and workload fit require validation.[1]
- Language coverage, audio length limits, licensing, and deployment requirements are not specified.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Fish Audio: Transcribe 1Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Transcribe 1 is a speech-to-text model from Fish Audio. It is suited for audio transcription with automatic language detection and can return timestamped word-level segments when alignment details are requested.
Specifications
- Model ID
- fish-audio/transcribe-1
- Canonical ID
- fish-audio/transcribe-1-20260729
- Creator
- fish-audio
- Added to OpenRouter
- 29.07.2026
- 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) |
|---|---|---|---|---|---|---|
| Fish Audio | 0 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.