Whisper vs Parakeet

Whisper large-v3 and turbo cover 99 languages, with an MIT/Apache license. Parakeet TDT 0.6B v3 (NVIDIA, CC-BY-4.0) covers 25 European languages, is 1.3–2.6x smaller, and supports chunked streaming via NeMo. For accuracy we don't compete with the HF Open ASR Leaderboard; check it there.

Side by side

Whisper large-v3Whisper large-v3-turboParakeet TDT 0.6B v3
OrganizationOpenAIOpenAINVIDIA
Parameters1.54B809M600M
Licenseapache-2.0 sourcemit sourcecc-by-4.0 source
Commercial useYes
HF card: Apache-2.0; GitHub repo: code and weights MIT
Yes
MIT
Yes
CC-BY-4.0 (attribution); card: ready for commercial/non-commercial use
Stated memory~10 GB VRAM~6 GB VRAMAt least 2 GB RAM to load
Runs on CPUUnknownUnknownUnknown
StreamingNoNoYes
Languages99 languages99 languages25 languages
Our fastest CPU resultbenchmark pendingbenchmark pendingbenchmark pending
Pi 5Won't fit (stated memory)UnknownUnknown
CPU onlyUnknownUnknownUnknown
Apple SiliconFits stated memorySourced statementFits stated memory
8 GB GPUWon't fit (stated memory)Fits stated memoryFits stated memory
12–16 GB GPUFits stated memoryFits stated memoryFits stated memory
24 GB+ GPUFits stated memoryFits stated memoryFits stated memory

Each fact is sourced on the model's page. "Unknown" means the source doesn't say. Accuracy: Hugging Face Open ASR Leaderboard.

Key differences (sourced)

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