nvidia
NVIDIA: Parakeet TDT 0.6B v3
nvidia/parakeet-tdt-0.6b-v3
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog presents nvidia/parakeet-tdt-0.6b-v3 as NVIDIA's Parakeet TDT 0.6B v3, an audio-input transcription model. The catalog description reports a 600M-parameter multilingual speech-to-text design using FastConformer-TDT, trained on the Granary dataset with more than 670,000 hours of audio, and says it supports automatic language detection. No measured benchmark results are supplied in this source pack, and the excerpt ends before defining the detection scope.[1]
Strengths
Limitations
- The supplied evidence is limited to OpenRouter's catalog; no independent model card was available in this source pack.[1]
- The source supplies no measured benchmark results, so real-world performance requires workload validation.[1]
- The catalog excerpt is truncated after mentioning automatic language detection; supported languages and operating limits remain undocumented here.[1]
Where to use it
- Consider evaluation for multilingual audio transcription where automatic language detection may reduce manual routing.[1]
- Potential fit for applications that need transcription output from audio through OpenRouter.[1]
- Pilot on representative audio before adopting for accents, domains or languages not documented in the excerpt.[1]
Sources
- [1] OpenRouter catalog · NVIDIA: Parakeet TDT 0.6B v3Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Parakeet TDT 0.6B v3 is NVIDIA's 600M-parameter multilingual speech-to-text model built on the FastConformer-TDT architecture. Trained on the Granary dataset (670,000+ hours of audio), it supports automatic language detection across...
Specifications
- Model ID
- nvidia/parakeet-tdt-0.6b-v3
- Creator
- nvidia
- Added to OpenRouter
- 27.05.2026
- 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) |
|---|---|---|---|---|---|---|
| PrimeIntellectbf16 | 0 | — | — | — | — | 100% |
| Together | 0 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.