Parakeet Tdt 0.6B V2
NVIDIA's Parakeet Tdt 0.6B V 2 is an open-source, 600-million-parameter automatic speech recognition model designed for high-quality English transcription, featuring support for punctuation, capitalization, and accurate timestamp prediction. It is genuinely best at efficient transcription of long audio segments, with the ability to process up to 24 minutes in a single pass.
Input
Output
Context
-
Max Output
-
Parameters
600M
Technical Specifications
Input Modalities
Output Modalities
Capabilities
Loading capabilities…
Resources & Links
Estimated GPU requirements for Parakeet Tdt 0.6B V2
Estimates based on INT8 quantization at up to 32K context. A count above one assumes tensor parallelism across the cards. Actual requirements vary by framework and configuration.
More models by NVIDIA
The creator's other models in the catalog, with their context, size and license where published.
Compare it, or keep browsing
Put this model beside its alternatives on the same evidence, or go back to the full catalog.
Frequently asked questions about Parakeet Tdt 0.6B V2
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
NVIDIA has not published a context window for Parakeet Tdt 0.6B V2, so the catalog shows it as not available rather than estimating one.
Yes. Parakeet Tdt 0.6B V2 is an open-weight model released under the Cc by 4.0 license, so the weights can be downloaded and self-hosted within that license's terms.
Parakeet Tdt 0.6B V2 accepts Audio and produces Text. The capabilities card on this page lists which API features each deployment honours, such as function calling and structured output, with the source each was checked against.
No published benchmark result for Parakeet Tdt 0.6B V2 is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Parakeet Tdt 0.6B V2 is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
About 1.0 GB at INT8 for the weights and a default context, from the catalog's 600M parameter count; FP16 needs roughly twice that, and long contexts or many concurrent requests add KV cache on top. The GPU section on this page lists cards that hold it, and the capacity planner sizes it for your context length and traffic.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
Put intelligence in the middle.
One gateway in front of every model, with your policies applied and every decision on record. Start with $5 of credit and 5,000 routing decisions a month, no card required.