fish-audio
Fish Audio: S1
fish-audio/s1
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to OpenRouter's catalog, fish-audio/s1 is a multilingual text-to-speech model from Fish Audio that accepts text and produces speech. The catalog says it is intended for voice applications needing broad emotional expression, with parenthetical controls to guide speaking style in supported languages. These are source-reported capabilities, not measured results. This source pack includes catalog metadata only; no independent model card, benchmark outcome, language list, license, or deployment requirements were provided.[1]
Strengths
Limitations
- Evidence is limited to OpenRouter's catalog; no independent model card was available in this source pack.[1]
- The supplied entry does not enumerate languages, voice options, measured quality or latency, license terms, or deployment requirements.[1]
- Catalog-only evidence cannot establish real-world reliability; validation on target languages, voices, and scripts is needed.[1]
Where to use it
- Potentially suitable for prototyping multilingual voice applications or narration where expressive delivery matters.[1]
- May be worth evaluating for assistants or audio-content workflows that can test parenthetical style controls.[1]
- Best approached as a controlled pilot until workload-specific speech quality is confirmed.[1]
Sources
- [1] OpenRouter catalog · Fish Audio: S1Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
S1 is a multilingual text-to-speech model from Fish Audio. It is suited for voice applications that need broad emotional expression, using parenthetical controls to guide speaking style across its supported...
Specifications
- Model ID
- fish-audio/s1
- Canonical ID
- fish-audio/s1-20260729
- Creator
- fish-audio
- Added to OpenRouter
- 29.07.2026
- Context length
- 0
- Modality
- text->speech
- Input modalities
- text
- Output modalities
- speech
- 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 | — |
| 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 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.