heygen
HeyGen: HeyGen Voice Turbo
heygen/heygen-voice-1-turbo
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, heygen/heygen-voice-1-turbo is a HeyGen text-to-speech model positioned as a lower-latency variant of HeyGen Voice. The catalog reports 10 default voices and support for HeyGen voice clones when users provide their own HeyGen key. No independent model card was available in this source pack, and the catalog does not provide measured latency, audio-quality, language, or benchmark results, so its speed and fit should be validated on the intended workload.[1]
Strengths
- OpenRouter lists a text-to-speech modality: text input and speech output.[1]
- The catalog describes the model as a lower-latency version of HeyGen Voice, although the supplied evidence contains no latency measurement.[1]
- The catalog reports 10 default voices and optional access to HeyGen voice clones with the user's own HeyGen key.[1]
Limitations
- Evidence is catalog-only; no independent model card was available in this source pack.[1]
- No measured latency, audio quality, language coverage, benchmark, safety, or cloning-safeguard results are supplied; validate on the intended workload.[1]
- The source lists no supported parameters and gives no license, hardware, or release-level details.[1]
Where to use it
- A possible fit for interactive or latency-sensitive speech features; the lower-latency claim remains catalog-reported and should be tested.[1]
- May suit products that can use one of the 10 reported default voices.[1]
- Could be relevant for teams already using HeyGen voice clones and able to provide their own HeyGen key.[1]
Sources
- [1] OpenRouter catalog · HeyGen: HeyGen Voice TurboSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
HeyGen Voice Turbo is a lower-latency version of HeyGen Voice, HeyGen's text-to-speech model. It has the same 10 default voices, or bring your own HeyGen key to use voice clones...
Specifications
- Model ID
- heygen/heygen-voice-1-turbo
- Canonical ID
- heygen/heygen-voice-1-turbo-20261009
- Creator
- heygen
- Added to OpenRouter
- 26.10.2026
- 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) |
|---|---|---|---|---|---|---|
| HeyGen | 0 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.