SAVRN Model Hub · Comparisons
parakeet-ctc-1.1b vs whisper-large-v3
Parakeet-ctc-1.1b has 1.1B parameters and whisper-large-v3 has 1.5B parameters; parakeet-ctc-1.1b is released under Creative Commons Attribution 4.0 and whisper-large-v3 under Apache License 2.0; at 16-bit, parakeet-ctc-1.1b needs about 2.6 GB (1x MI300X from $1.85 an hour) and whisper-large-v3 about 3.7 GB (1x MI300X from $1.85 an hour).
| Field | parakeet-ctc-1.1b nvidia/parakeet-ctc-1.1b | whisper-large-v3 openai/whisper-large-v3 |
|---|---|---|
| Publisher | NVIDIA | OpenAI |
| Task | Speech recognition | Speech recognition |
| Modality | Audio | Audio |
| Parameters, as reported | 1.1B parameters | 1.5B parameters |
| Architecture | ParakeetForCTC | WhisperForConditionalGeneration |
| Library | nemo | transformers |
| Context length | Not stated | Not stated |
| Repository size | 9.7 GB | 24.7 GB |
| Artifact formats | safetensors, gguf, pytorch | safetensors, pytorch, jax |
| License | cc-by-4.0 | apache-2.0 |
| Access | Open weights, no gate | Open weights, no gate |
| Memory at 16-bit (weights and margin) | 2.6 GB | 3.7 GB |
| Cheapest GPUs at 16-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Memory at 4-bit (weights and margin) | 0.6 GB | 0.9 GB |
| Cheapest GPUs at 4-bit, per hour | 1x MI300X, $1.85 | 1x MI300X, $1.85 |
| Revision viewed | 20e63a0fed6a | 06f233fe06e7 |
| Downloads reported by the hub | 796.2k | 4.8M |
| Last observed | 2026-09-18 | 2026-09-18 |
An evaluation row appears only where at least two of these models report the same benchmark with the same stated configuration, metric, unit and setup. Different evaluators stay named in each cell. Values are shown as reported: no unit conversion, no ranking.
Other Reported Results
These results are listed for each model on its own, because the conditions needed to compare them are not stated or do not match. Two results that leave a condition blank are not assumed to share it.
parakeet-ctc-1.1b
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| AMI (Meetings test) | Configuration ihmTask Automatic Speech RecognitionMetric Test WERComparison conditions not established | 15.62 | nvidia Publisher reported |
Evaluated revision not stated | — |
| Earnings-22 | Task Automatic Speech RecognitionMetric Test WERComparison conditions not established | 13.69 | nvidia Publisher reported |
Evaluated revision not stated | — |
| GigaSpeech | Task Automatic Speech RecognitionMetric Test WERComparison conditions not established | 10.27 | nvidia Publisher reported |
Evaluated revision not stated | — |
| LibriSpeech (clean) | Configuration otherTask Automatic Speech RecognitionMetric Test WERComparison conditions not established | 1.83 | nvidia Publisher reported |
Evaluated revision not stated | — |
| LibriSpeech (other) | Configuration otherTask Automatic Speech RecognitionMetric Test WERComparison conditions not established | 3.54 | nvidia Publisher reported |
Evaluated revision not stated | — |
| Mozilla Common Voice 9.0 | Configuration enTask automatic-speech-recognitionMetric Test WERComparison conditions not established | 9.02 | nvidia Publisher reported |
Evaluated revision not stated | — |
| SPGI Speech | Configuration testTask automatic-speech-recognitionMetric Test WERComparison conditions not established | 4.2 | nvidia Publisher reported |
Evaluated revision not stated | — |
| Vox Populi | Configuration enTask Automatic Speech RecognitionMetric Test WERComparison conditions not established | 6.53 | nvidia Publisher reported |
Evaluated revision not stated | — |
| hf-audio/open-asr-leaderboard | Task ami_werMetric ami_werComparison conditions not established | 15.67 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-12-28 |
| hf-audio/open-asr-leaderboard | Task earnings22_werMetric earnings22_werComparison conditions not established | 13.75 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-12-28 |
| hf-audio/open-asr-leaderboard | Task gigaspeech_werMetric gigaspeech_werComparison conditions not established | 10.28 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-12-28 |
| hf-audio/open-asr-leaderboard | Task librispeech_clean_werMetric librispeech_clean_werComparison conditions not established | 1.83 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-12-28 |
| hf-audio/open-asr-leaderboard | Task librispeech_other_werMetric librispeech_other_werComparison conditions not established | 3.51 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-12-28 |
| hf-audio/open-asr-leaderboard | Task mean_werMetric mean_werComparison conditions not established | 7.39875 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-12-28 |
| hf-audio/open-asr-leaderboard | Task rtfxMetric rtfxComparison conditions not established | 2728.52 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-12-28 |
| hf-audio/open-asr-leaderboard | Task spgispeech_werMetric spgispeech_werComparison conditions not established | 4.02 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-12-28 |
| hf-audio/open-asr-leaderboard | Task tedlium_werMetric tedlium_werComparison conditions not established | 3.57 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-12-28 |
| hf-audio/open-asr-leaderboard | Task voxpopuli_werMetric voxpopuli_werComparison conditions not established | 6.56 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-12-28 |
| tedlium-v3 | Configuration release1Task automatic-speech-recognitionMetric Test WERComparison conditions not established | 3.54 | nvidia Publisher reported |
Evaluated revision not stated | — |
whisper-large-v3
| Benchmark | Conditions | Result | Reported by | Revision | Date |
|---|---|---|---|---|---|
| ARTPARK-IISc/Vaani-Benchmark-V1.0 | Task Hindi_WERMetric Hindi_WERComparison conditions not established | 26.8 | Not named Reported by a third party |
Evaluated revision not stated | 2026-06-26 |
| hf-audio/open-asr-leaderboard | Task ami_werMetric ami_werComparison conditions not established | 15.95 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-11-07 |
| hf-audio/open-asr-leaderboard | Task earnings22_werMetric earnings22_werComparison conditions not established | 11.29 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-11-07 |
| hf-audio/open-asr-leaderboard | Task gigaspeech_werMetric gigaspeech_werComparison conditions not established | 10.02 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-11-07 |
| hf-audio/open-asr-leaderboard | Task librispeech_clean_werMetric librispeech_clean_werComparison conditions not established | 2.01 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-11-07 |
| hf-audio/open-asr-leaderboard | Task librispeech_other_werMetric librispeech_other_werComparison conditions not established | 3.91 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-11-07 |
| hf-audio/open-asr-leaderboard | Task mean_werMetric mean_werComparison conditions not established | 7.44 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-11-07 |
| hf-audio/open-asr-leaderboard | Task rtfxMetric rtfxComparison conditions not established | 145.51 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-11-07 |
| hf-audio/open-asr-leaderboard | Task spgispeech_werMetric spgispeech_werComparison conditions not established | 2.94 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-11-07 |
| hf-audio/open-asr-leaderboard | Task tedlium_werMetric tedlium_werComparison conditions not established | 3.86 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-11-07 |
| hf-audio/open-asr-leaderboard | Task voxpopuli_werMetric voxpopuli_werComparison conditions not established | 9.54 | open-asr-leaderboard Reported by a third party |
Evaluated revision not stated | 2023-11-07 |
SAVRN's Notes on parakeet-ctc-1.1b
We would give this one the smallest slice of a card we could carve out. NVIDIA's 1.1B-parameter speech recognizer, built with Suno.ai on FastConformer CTC and served through NeMo, needs 2.6 GB at 16-bit, 1.3 GB at 8-bit and 0.6 GB at 4-bit, and it writes lower-case English. On the cheapest host we price, one MI300X with 192 GB at $1.85 an hour on-demand, that footprint is a rounding error, so transcription belongs beside everything else on the card, not on a second one.
CC BY 4.0 lets you share and adapt it, commercially included, as long as NVIDIA is credited and your changes are indicated. Before committing, look at the training mix, librispeech_asr, fisher_corpus, Switchboard-1, WSJ and vctk among them, and at NVIDIA's own reported word error rates, 1.83 on LibriSpeech clean up to 15.62 on AMI meetings, then run your own audio through it. Released December 28, 2023, last updated August 5, 2026.
Questions
Which is larger, parakeet-ctc-1.1b or whisper-large-v3?
whisper-large-v3 (1.5B parameters) is larger than parakeet-ctc-1.1b (1.1B parameters), by the parameter counts their publishers report.
Which is cheaper to run, parakeet-ctc-1.1b or whisper-large-v3?
At 4-bit, parakeet-ctc-1.1b fits on 1x MI300X from $1.85 an hour and whisper-large-v3 on 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists.
Can I use parakeet-ctc-1.1b commercially?
Yes. parakeet-ctc-1.1b is released under Creative Commons Attribution 4.0. CC BY 4.0 permits sharing and adapting the work, including commercially, provided the creator is credited and changes are indicated.
Can I use whisper-large-v3 commercially?
Yes. whisper-large-v3 is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.