Audio / OpenAI

Whisper large-v3-turbo

Open-weight multilingual speech recognition model for transcribing local recordings. The model card includes weights and a Transformers inference path.

Verified sourceSource checked 9/29/2026
LOCALRENTED GPUOPEN WEIGHTS
Freshness 6 out of 100. Repository age: 744 days old, Oct 1, 2024. Measures age, not quality.
Popularity 92 out of 100. 6,349,781 downloads in 30 days; 3,454 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
What do these scores mean?

Two ways to compare models. Neither score measures answer quality, benchmark performance, or whether a model fits your machine.

Freshness · release age

A new release starts at 100. The score halves every 180 days: 100 × 2^(−age in days / 180). When the release date is unavailable, a repository date is a fallback—not proof of when the model was released. Missing dates stay unscored.

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Popularity · adoption

Downloads over the past 30 days carry 80% of the score; lifetime likes carry 20%. Both use a logarithmic scale, capped at 10 million downloads and 100,000 likes. If likes are unavailable, downloads carry all the weight. Missing download statistics stay unscored.

round(80 × min(1, log10(1 + downloads) / 7) + 20 × min(1, log10(1 + likes) / 5))

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Scores as of Oct 15, 2026. Statistics checked Oct 15, 2026. Statistics are marked for refresh after 72 hours.Full scoring method
WORKFLOWS FOR THIS MODEL 1

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At a glance

Parameters
809M
License
MIT
Software
Transformers
View the model source
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Best for

  • Transcribe a recording and inspect the resulting text or subtitles.

Ways to run it

Transformers · Windows, macOS, Linux

Official instructions

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Voxtral Mini 4B Realtime 2602 is a multilingual, realtime automatic speech recognition model from Mistral AI, released under the Apache-2.0 license. It features a natively streaming architecture with a causal audio encoder and sliding window attention, enabling configurable transcription delays from 240ms to 2.4s (and reportedly 80ms to 2.4s). The model has approximately 4B parameters (≈3.4B language model and ≈970M audio encoder) and is described as optimized for on-device deployment. It supports 13 languages and is presented as achieving accuracy comparable to offline systems with less than 500ms delay, specifically matching leading offline open-source models and realtime APIs at a 480ms delay. The model card recommends a temperature of 0.0, using websockets for audio streaming, and a delay of 480ms as a balance between performance and latency.

Freshness 36 out of 100. Repository age: 267 days old, Jan 21, 2026. Measures age, not quality.
Popularity 84 out of 100. 2,005,210 downloads in 30 days; 1,029 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
MODEL SIZE4B
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Create a full song from style and lyrics with a publisher Python package on a Linux NVIDIA GPU; outputs include a playable FLAC.

Freshness 87 out of 100. Release age: 36 days old, Sep 9, 2026. Measures age, not quality.
Popularity 64 out of 100. 33,535 downloads in 30 days; 1,152 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
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ibm-granite

granite speech 5.0 470m turboctc

Granite Speech 5.0 470M TurboCTC is a compact 470 million parameter English automatic speech recognition model released by IBM under the Apache 2.0 license. It uses a conformer acoustic encoder with block self-attention, self-conditioning, and temporal downsampling, with an output layer of 16,384 BPE units. The model was trained on approximately 60,000 hours of English audio from public corpora using Connectionist Temporal Classification (CTC), and inference is non-autoregressive with greedy decoding. It is designed for low-latency and high-throughput English speech-to-text transcription, and is described as suitable for deployment on laptops, smartphones, and other edge devices. Native support is available in transformers>=5.16.0, with additional usage options for Apple Silicon via mlx-audio and local GGUF inference via transcribe.cpp.

Freshness 76 out of 100. Repository age: 72 days old, Aug 4, 2026. Measures age, not quality.
Popularity 62 out of 100. 59,074 downloads in 30 days; 78 lifetime likes. Checked Oct 15, 2026. Measures adoption, not quality.
MODEL SIZE0.47B