Benchmark run
2026 09 v2 parakeet tdt 0 6b v3
benchmark-v2 publication batch 2026-09-v2; codictate parakeet-tdt-0.6b-v3; clips [0, 400) of the consumable range; hotkey option+z
Sep 5, 2026
- Models
- 1
- Samples per dataset
- 400
- Warmup runs
- 3
- Hardware
- Apple M4 Max / 36 GB / macOS 26.6.2
Full results
Accuracy is the share of words transcribed correctly per language condition, so higher is better; speed is milliseconds per second of audio, so lower is better. The best value in each column is emphasised, and a cell reading a dash says on hover why there is no figure in it.
Accuracy (%) per language, and speed in ms per second of audio, so lower is better. A cell reading a dash was never measured, and hovering any cell says what is behind it.
| Parakeet TDT 0.6B v3 | 400 | 500 MB | 80 MB | 19 ms | 89.6%Every word from every language counted together, not an average of per-language scores. | 95.3%Every word from every language counted together, not an average of per-language scores. | 86.3%Every word from every language counted together, not an average of per-language scores. | 96.1% | 94.4% | 94.3% | 80.6% | 81.3% |
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At a glance
Ratings computed from benchmark data, scaled 1 to 10, and written with their scale in every cell. Accuracy is based on Word Error Rate (WER) and does not include punctuation yet.
Ratings run 1 to 10, higher is better. A cell reading a dash was never measured, and hovering any cell says what is behind it.
| Parakeet TDT 0.6B v3 | 25 languages | No | 10/10 | 9/10Every word from every language counted together, not an average of per-language scores. |
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Charts
The plots generated alongside this run. Select a chart to open it full size.
