# Transcription : les meilleurs modèles de reconnaissance vocale

QUELLE IA, https://quelleia.com/voix/transcription/, relevé du 19 octobre 2026 (édition 2026-W43). Classements à part du score des modèles de langage : chaque tableau vient d'une seule source, dans son unité, sans score combiné. Méthode : https://quelleia.com/demarche/#voix.

## Transcription en français

azure-speech-07-2026 (Microsoft) arrive premier avec un taux d'erreur par mot de 3,14 %, sur 39 modèles (Open ASR Leaderboard, relevé du 19 octobre 2026, version du 17 octobre 2026). Mesure : taux d'erreur par mot en français, moyenne de trois jeux de parole lue (FLEURS, Common Voice, MLS). Taux d'erreur par mot : la part des mots mal transcrits. Plus il est bas, mieux c'est.

Source : Open ASR Leaderboard, Hugging Face, https://huggingface.co/spaces/hf-audio/open_asr_leaderboard (relevé du 19 octobre 2026, version du 17 octobre 2026).

| Rang | Modèle | Éditeur | Taux d'erreur | FLEURS | Common Voice | MLS |
| --- | --- | --- | --- | --- | --- | --- |
| 1 | [azure-speech-07-2026](https://quelleia.com/voix/modeles/microsoft-azure-speech-07-2026/) | Microsoft | 3,14 % | 2,48 % | 4,32 % | 2,62 % |
| 2 | [azure-speech-06-2026](https://quelleia.com/voix/modeles/microsoft-azure-speech-06-2026/) | Microsoft | 3,27 % | 2,78 % | 4,28 % | 2,75 % |
| 3 | [Scribe v2](https://quelleia.com/voix/modeles/scribe-v2/) | ElevenLabs | 3,29 % | 2,93 % | 4,40 % | 2,53 % |
| 4 | [Hojo-ASR-Multi-V1](https://quelleia.com/voix/modeles/hojo-asr-multi-v1/) | HojoAi | 3,57 % | 3,26 % | 4,50 % | 2,95 % |
| 5 | [Universal-3 Pro](https://quelleia.com/voix/modeles/universal-3-pro/) | AssemblyAI | 3,82 % | 2,84 % | 6,30 % | 2,33 % |
| 6 | [Symphony](https://quelleia.com/voix/modeles/sprag-symphony/) | Sprag | 3,92 % | 3,33 % | 5,61 % | 2,81 % |
| 6 | [Universal-3.5 Pro](https://quelleia.com/voix/modeles/assemblyai-universal-3-5-pro/) | AssemblyAI | 3,92 % | 2,82 % | 6,47 % | 2,47 % |
| 8 | [Cohere Transcribe](https://quelleia.com/voix/modeles/cohere-transcribe/) | Cohere | 4,02 % | 4,33 % | 5,28 % | 2,44 % |
| 9 | [Resonant-1](https://quelleia.com/voix/modeles/resonant-1/) | Reson8 | 4,11 % | 3,61 % | 5,81 % | 2,92 % |
| 9 | [Resonant-1-flash](https://quelleia.com/voix/modeles/resonant-1-flash/) | Reson8 | 4,11 % | 3,61 % | 5,81 % | 2,92 % |
| 9 | [Voxtral Small](https://quelleia.com/voix/modeles/voxtral-small/) | Mistral AI | 4,11 % | 3,61 % | 5,50 % | 3,22 % |
| 12 | [multilingual](https://quelleia.com/voix/modeles/modulate-multilingual/) | Modulate | 4,14 % | 4,71 % | 5,27 % | 2,45 % |
| 13 | [TheWhisper-Large-V3-Turbo](https://quelleia.com/voix/modeles/thestageai-thewhisper-large-v3-turbo/) | TheStage AI | 4,41 % | 4,18 % | 5,83 % | 3,23 % |
| 14 | [Canary 1B v2](https://quelleia.com/voix/modeles/nvidia-canary-1b-v2/) | NVIDIA | 4,79 % | 4,35 % | 6,58 % | 3,45 % |
| 15 | [GPT Transcribe](https://quelleia.com/voix/modeles/gpt-transcribe/) | OpenAI | 4,82 % | 3,45 % | 6,97 % | 4,05 % |
| 16 | [Speechmatics Enhanced](https://quelleia.com/voix/modeles/speechmatics-enhanced/) | Speechmatics | 4,89 % | 4,37 % | 5,70 % | 4,61 % |
| 17 | [Phi-4-multimodal-instruct](https://quelleia.com/voix/modeles/microsoft-phi-4-multimodal-instruct/) | Microsoft | 5,04 % | 4,08 % | 6,89 % | 4,14 % |
| 18 | [omniASR-LLM-7B-v2](https://quelleia.com/voix/modeles/meta-omniasr-llm-7b-v2/) | Meta | 5,25 % | 5,19 % | 7,26 % | 3,30 % |
| 19 | [Parakeet TDT 0.6B V3](https://quelleia.com/voix/modeles/nvidia-parakeet-tdt-0-6b-v3/) | NVIDIA | 5,30 % | 4,67 % | 6,23 % | 5,01 % |
| 20 | [Granite-Speech-4.1-2B-NAR](https://quelleia.com/voix/modeles/ibm-granite-speech-4-1-2b-nar/) | IBM | 5,40 % | 6,24 % | 6,38 % | 3,58 % |
| 21 | [Qwen3-ASR-1.7B-hf](https://quelleia.com/voix/modeles/alibaba-qwen3-asr-1-7b-hf/) | Alibaba | 5,68 % | 4,06 % | 7,84 % | 5,15 % |
| 22 | [Voxtral Mini](https://quelleia.com/voix/modeles/voxtral-mini/) | Mistral AI | 5,96 % | 4,13 % | 7,80 % | 5,96 % |
| 23 | [Soniox v5 Async](https://quelleia.com/voix/modeles/soniox-v5-async/) | Soniox | 6,21 % | 4,24 % | 9,84 % | 4,55 % |
| 24 | [Whisper Large v3](https://quelleia.com/voix/modeles/whisper-large-v3/) | OpenAI | 6,24 % | 4,84 % | 9,97 % | 3,90 % |
| 25 | [Whisper Large v3 Turbo](https://quelleia.com/voix/modeles/whisper-large-v3-turbo/) | OpenAI | 6,73 % | 4,90 % | 11,06 % | 4,22 % |
| 26 | [muse-voice-transcribe](https://quelleia.com/voix/modeles/meta-muse-voice-transcribe/) | Meta | 6,81 % | 5,94 % | 9,41 % | 5,09 % |
| 27 | [omniASR-LLM-3B-v2](https://quelleia.com/voix/modeles/meta-omniasr-llm-3b-v2/) | Meta | 6,92 % | 6,82 % | 9,65 % | 4,28 % |
| 28 | [omniASR-LLM-1B-v2](https://quelleia.com/voix/modeles/meta-omniasr-llm-1b-v2/) | Meta | 7,00 % | 7,35 % | 9,18 % | 4,47 % |
| 29 | [omniASR-CTC-7B-v2](https://quelleia.com/voix/modeles/meta-omniasr-ctc-7b-v2/) | Meta | 7,57 % | 7,65 % | 10,12 % | 4,94 % |
| 30 | [Voxtral Mini 4B Realtime](https://quelleia.com/voix/modeles/voxtral-mini-4b-realtime/) | Mistral AI | 7,78 % | 8,19 % | 9,57 % | 5,59 % |
| 31 | [omniASR-CTC-3B-v2](https://quelleia.com/voix/modeles/meta-omniasr-ctc-3b-v2/) | Meta | 8,12 % | 8,31 % | 10,84 % | 5,20 % |
| 32 | [Qwen3-ASR-0.6B-hf](https://quelleia.com/voix/modeles/alibaba-qwen3-asr-0-6b-hf/) | Alibaba | 8,76 % | 7,06 % | 10,78 % | 8,44 % |
| 33 | [Nemotron 3.5 ASR](https://quelleia.com/voix/modeles/nvidia-nemotron-3-5-asr-streaming-0-6b/) | NVIDIA | 9,40 % | 9,86 % | 10,97 % | 7,36 % |
| 34 | [omniASR-LLM-300M-v2](https://quelleia.com/voix/modeles/meta-omniasr-llm-300m-v2/) | Meta | 10,02 % | 11,21 % | 12,07 % | 6,78 % |
| 35 | [omniASR-CTC-1B-v2](https://quelleia.com/voix/modeles/meta-omniasr-ctc-1b-v2/) | Meta | 10,29 % | 10,71 % | 13,30 % | 6,87 % |
| 36 | [Gemma 4 E4B](https://quelleia.com/voix/modeles/google-gemma-4-e4b-it/) | Google | 10,31 % | 7,42 % | 13,99 % | 9,53 % |
| 37 | [MOSS-Transcribe-Diarize](https://quelleia.com/voix/modeles/openmoss-team-moss-transcribe-diarize/) | OpenMOSS | 10,66 % | 8,53 % | 15,19 % | 8,27 % |
| 38 | [VibeVoice-ASR-HF](https://quelleia.com/voix/modeles/microsoft-vibevoice-asr-hf/) | Microsoft | 14,04 % | 11,30 % | 23,85 % | 6,96 % |
| 39 | [omniASR-CTC-300M-v2](https://quelleia.com/voix/modeles/meta-omniasr-ctc-300m-v2/) | Meta | 18,59 % | 21,08 % | 21,89 % | 12,79 % |

## Transcription en anglais, indice AA-WER

Fun-Realtime-ASR-preview (Alibaba) arrive premier avec un taux d'erreur par mot de 1,73 %, sur 51 modèles (Artificial Analysis, relevé du 19 octobre 2026). Mesure : taux d'erreur par mot en anglais, indice AA-WER : moyenne pondérée de leur jeu privé d'agents vocaux AA-AgentTalk (50 %), de VoxPopuli (25 %) et d'Earnings22 (25 %). Taux d'erreur par mot : la part des mots mal transcrits. Plus il est bas, mieux c'est.

Source : Artificial Analysis, https://artificialanalysis.ai/speech-to-text/non-streaming (relevé du 19 octobre 2026).

| Rang | Modèle | Éditeur | Taux d'erreur |
| --- | --- | --- | --- |
| 1 | [Fun-Realtime-ASR-preview](https://quelleia.com/voix/modeles/alibaba-fun-realtime-asr-preview/) | Alibaba | 1,73 % |
| 2 | [MAI-Transcribe-2](https://quelleia.com/voix/modeles/microsoft-mai-transcribe-2/) | Microsoft | 2,04 % |
| 3 | [Scribe v2](https://quelleia.com/voix/modeles/scribe-v2/) | ElevenLabs | 2,18 % |
| 4 | [Grok Voice Transcribe 2.0](https://quelleia.com/voix/modeles/spacexai-grok-voice-transcribe-2-0/) | SpaceXSI | 2,29 % |
| 5 | [MAI-Transcribe-1.5](https://quelleia.com/voix/modeles/microsoft-mai-transcribe-1-5/) | Microsoft | 2,38 % |
| 6 | [StepAudio 3 ASR](https://quelleia.com/voix/modeles/stepaudio-3-asr/) | StepFun | 2,50 % |
| 7 | [Gemini 3.5 Transcribe](https://quelleia.com/voix/modeles/google-gemini-3-5-transcribe/) | Google | 2,60 % |
| 8 | [Zoom Scribe V2 Pro](https://quelleia.com/voix/modeles/zoom-scribe-v2-pro/) | Zoom | 2,75 % |
| 9 | [Voxtral Small](https://quelleia.com/voix/modeles/voxtral-small/) | Mistral AI | 2,77 % |
| 10 | [Gemini 3.1 Pro Preview (High)](https://quelleia.com/voix/modeles/google-gemini-3-1-pro-preview-high/) | Google | 2,82 % |
| 11 | [Gemini 2.5 Pro](https://quelleia.com/voix/modeles/google-gemini-2-5-pro/) | Google | 2,86 % |
| 12 | [Gemini 3 Flash (High)](https://quelleia.com/voix/modeles/google-gemini-3-flash-high/) | Google | 2,93 % |
| 13 | [Universal-3.5 Pro](https://quelleia.com/voix/modeles/assemblyai-universal-3-5-pro/) | AssemblyAI | 2,99 % |
| 14 | [Universal-3 Pro](https://quelleia.com/voix/modeles/universal-3-pro/) | AssemblyAI | 3,12 % |
| 15 | [Solaria-3](https://quelleia.com/voix/modeles/solaria-3/) | Gladia | 3,23 % |
| 16 | [GPT Transcribe](https://quelleia.com/voix/modeles/gpt-transcribe/) | OpenAI | 3,31 % |
| 17 | [Smallest AI Pulse](https://quelleia.com/voix/modeles/smallest-ai-pulse/) | Smallest AI | 3,33 % |
| 18 | [Resonant-1](https://quelleia.com/voix/modeles/resonant-1/) | Reson8 | 3,39 % |
| 19 | [Smallest AI Pulse Pro](https://quelleia.com/voix/modeles/smallest-ai-pulse-pro/) | Smallest AI | 3,41 % |
| 20 | [Gemini 3.1 Flash-Lite Preview (Minimal)](https://quelleia.com/voix/modeles/google-gemini-3-1-flash-lite-preview-minimal/) | Google | 3,43 % |
| 21 | [Qwen3.5 Omni Plus](https://quelleia.com/voix/modeles/alibaba-qwen3-5-omni-plus/) | Alibaba | 3,55 % |
| 22 | [Gemini 3.1 Pro Preview (Low)](https://quelleia.com/voix/modeles/google-gemini-3-1-pro-preview-low/) | Google | 3,58 % |
| 23 | [Voxtral Mini Transcribe 2](https://quelleia.com/voix/modeles/voxtral-mini-transcribe-2/) | Mistral AI | 3,59 % |
| 24 | [Soniox v5 Async](https://quelleia.com/voix/modeles/soniox-v5-async/) | Soniox | 3,81 % |
| 25 | [Universal](https://quelleia.com/voix/modeles/assemblyai-universal/) | AssemblyAI | 3,82 % |
| 26 | [Inworld STT 1](https://quelleia.com/voix/modeles/inworld-stt-1/) | Inworld AI | 3,93 % |
| 27 | [GPT-4o Transcribe](https://quelleia.com/voix/modeles/openai-gpt-4o-transcribe/) | OpenAI | 3,96 % |
| 28 | [Speechmatics Enhanced](https://quelleia.com/voix/modeles/speechmatics-enhanced/) | Speechmatics | 4,05 % |
| 29 | [Whisper Large v2](https://quelleia.com/voix/modeles/openai-whisper-large-v2/) | OpenAI | 4,06 % |
| 30 | [Solaria-1](https://quelleia.com/voix/modeles/solaria-1/) | Gladia | 4,07 % |
| 30 | [Whisper Large v3](https://quelleia.com/voix/modeles/whisper-large-v3/) | OpenAI | 4,07 % |
| 32 | [Amazon Transcribe](https://quelleia.com/voix/modeles/amazon-transcribe/) | Amazon | 4,12 % |
| 33 | [Modulate STT Batch English VFast](https://quelleia.com/voix/modeles/modulate-stt-batch-english-vfast/) | Modulate | 4,23 % |
| 34 | [Canary Qwen 2.5B](https://quelleia.com/voix/modeles/canary-qwen-2-5b/) | NVIDIA | 4,27 % |
| 35 | [Chirp 3](https://quelleia.com/voix/modeles/google-chirp-3/) | Google | 4,32 % |
| 36 | [GPT-4o Mini Transcribe](https://quelleia.com/voix/modeles/openai-gpt-4o-mini-transcribe/) | OpenAI | 4,47 % |
| 37 | [Cohere Transcribe](https://quelleia.com/voix/modeles/cohere-transcribe/) | Cohere | 4,57 % |
| 38 | [Whisper Large v3 Turbo](https://quelleia.com/voix/modeles/whisper-large-v3-turbo/) | OpenAI | 4,62 % |
| 39 | [StepAudio 2.5 ASR](https://quelleia.com/voix/modeles/stepaudio-2-5-asr/) | StepFun | 4,67 % |
| 40 | [Nova 2 Pro](https://quelleia.com/voix/modeles/amazon-nova-2-pro/) | Amazon | 4,86 % |
| 41 | [Melia](https://quelleia.com/voix/modeles/speechmatics-melia/) | Speechmatics | 4,87 % |
| 42 | [Speechmatics Standard](https://quelleia.com/voix/modeles/speechmatics-standard/) | Speechmatics | 5,12 % |
| 43 | [Gemini 2.5 Flash](https://quelleia.com/voix/modeles/google-gemini-2-5-flash/) | Google | 5,14 % |
| 44 | [Gemini 2.5 Lite](https://quelleia.com/voix/modeles/google-gemini-2-5-lite/) | Google | 5,17 % |
| 45 | [Nova-3](https://quelleia.com/voix/modeles/deepgram-nova-3/) | Deepgram | 5,18 % |
| 46 | [Parakeet RNNT 1.1B](https://quelleia.com/voix/modeles/nvidia-parakeet-rnnt-1-1b/) | NVIDIA | 5,42 % |
| 47 | [Rev AI](https://quelleia.com/voix/modeles/rev-ai/) | Rev | 5,92 % |
| 48 | [Parakeet TDT 0.6B V2](https://quelleia.com/voix/modeles/parakeet-tdt-0-6b-v2/) | NVIDIA | 6,43 % |
| 49 | [Gradium Speech-to-Text](https://quelleia.com/voix/modeles/gradium-speech-to-text/) | Gradium | 6,79 % |
| 50 | [Qwen3.5 Omni Flash](https://quelleia.com/voix/modeles/alibaba-qwen3-5-omni-flash/) | Alibaba | 13,52 % |
| 51 | [Cloud Speech-To-Text (Chirp)](https://quelleia.com/voix/modeles/google-cloud-speech-to-text-chirp/) | Google | 31,21 % |

## Transcription en anglais, Open ASR

speech-v3.1 (Otter.ai) arrive premier avec un taux d'erreur par mot de 4,55 %, sur 53 modèles (Open ASR Leaderboard, relevé du 19 octobre 2026, version du 17 octobre 2026). Mesure : taux d'erreur par mot en anglais, moyenne de onze jeux dont deux privés (réunions, appels, discours, livres audio, bruit). Taux d'erreur par mot : la part des mots mal transcrits. Plus il est bas, mieux c'est.

Source : Open ASR Leaderboard, Hugging Face, https://huggingface.co/spaces/hf-audio/open_asr_leaderboard (relevé du 19 octobre 2026, version du 17 octobre 2026).

| Rang | Modèle | Éditeur | Taux d'erreur |
| --- | --- | --- | --- |
| 1 | [speech-v3.1](https://quelleia.com/voix/modeles/otterai-speech-v3-1/) | Otter.ai | 4,55 % |
| 2 | [Zoom Scribe V2 Pro](https://quelleia.com/voix/modeles/zoom-scribe-v2-pro/) | Zoom | 4,70 % |
| 3 | [azure-speech-07-2026](https://quelleia.com/voix/modeles/microsoft-azure-speech-07-2026/) | Microsoft | 5,02 % |
| 4 | [multilingual](https://quelleia.com/voix/modeles/modulate-multilingual/) | Modulate | 5,06 % |
| 5 | [Resonant-1](https://quelleia.com/voix/modeles/resonant-1/) | Reson8 | 5,21 % |
| 6 | [Sophea ASR K1](https://quelleia.com/voix/modeles/sophea-asr-k1/) | Sophea AI | 5,23 % |
| 7 | [Scribe v2](https://quelleia.com/voix/modeles/scribe-v2/) | ElevenLabs | 5,24 % |
| 8 | [Universal-3.5 Pro](https://quelleia.com/voix/modeles/assemblyai-universal-3-5-pro/) | AssemblyAI | 5,39 % |
| 9 | [Qwen3-ASR-1.7B-hf](https://quelleia.com/voix/modeles/alibaba-qwen3-asr-1-7b-hf/) | Alibaba | 5,40 % |
| 10 | [Smallest AI Pulse](https://quelleia.com/voix/modeles/smallest-ai-pulse/) | Smallest AI | 5,71 % |
| 11 | [Cohere Transcribe](https://quelleia.com/voix/modeles/cohere-transcribe/) | Cohere | 5,77 % |
| 12 | [Symphony](https://quelleia.com/voix/modeles/sprag-symphony/) | Sprag | 5,84 % |
| 13 | [Hojo-ASR-V1](https://quelleia.com/voix/modeles/hojo-asr-v1/) | HojoAi | 5,85 % |
| 14 | [TheWhisper-Large-V3-Turbo](https://quelleia.com/voix/modeles/thestageai-thewhisper-large-v3-turbo/) | TheStage AI | 5,91 % |
| 15 | [ARK-ASR-3B](https://quelleia.com/voix/modeles/edge0-ark-asr-3b/) | Edge0 | 5,92 % |
| 15 | [Higgs Audio v3 STT](https://quelleia.com/voix/modeles/boson-ai-higgs-audio-v3-stt/) | Boson AI | 5,92 % |
| 17 | [ARK-ASR-0.6B](https://quelleia.com/voix/modeles/edge0-ark-asr-0-6b/) | Edge0 | 5,93 % |
| 18 | [Canary Qwen 2.5B](https://quelleia.com/voix/modeles/canary-qwen-2-5b/) | NVIDIA | 5,94 % |
| 19 | [GPT Transcribe](https://quelleia.com/voix/modeles/gpt-transcribe/) | OpenAI | 5,96 % |
| 19 | [Granite Speech 4.1 2B](https://quelleia.com/voix/modeles/ibm-granite-speech-4-1-2b/) | IBM | 5,96 % |
| 21 | [Parakeet TDT 0.6B V2](https://quelleia.com/voix/modeles/parakeet-tdt-0-6b-v2/) | NVIDIA | 5,98 % |
| 22 | [Solaria-3](https://quelleia.com/voix/modeles/solaria-3/) | Gladia | 5,99 % |
| 23 | [Granite Speech 5.0 470M TurboCTC NC](https://quelleia.com/voix/modeles/ibm-granite-speech-5-0-470m-turboctc-nc/) | IBM | 6,02 % |
| 24 | [Parakeet TDT 0.6B V3](https://quelleia.com/voix/modeles/nvidia-parakeet-tdt-0-6b-v3/) | NVIDIA | 6,08 % |
| 25 | [Granite-Speech-4.1-2B-NAR](https://quelleia.com/voix/modeles/ibm-granite-speech-4-1-2b-nar/) | IBM | 6,10 % |
| 26 | [MOSS-Transcribe-Diarize](https://quelleia.com/voix/modeles/openmoss-team-moss-transcribe-diarize/) | OpenMOSS | 6,17 % |
| 27 | [Qwen3-ASR-0.6B-hf](https://quelleia.com/voix/modeles/alibaba-qwen3-asr-0-6b-hf/) | Alibaba | 6,24 % |
| 28 | [muse-voice-transcribe](https://quelleia.com/voix/modeles/meta-muse-voice-transcribe/) | Meta | 6,30 % |
| 29 | [Granite-Speech-5.0-470M-TurboCTC](https://quelleia.com/voix/modeles/ibm-granite-speech-5-0-470m-turboctc/) | IBM | 6,38 % |
| 29 | [Voxtral Small](https://quelleia.com/voix/modeles/voxtral-small/) | Mistral AI | 6,38 % |
| 31 | [Granite 4.0 1B Speech](https://quelleia.com/voix/modeles/ibm-granite-4-0-1b-speech/) | IBM | 6,41 % |
| 32 | [Nemotron ASR Streaming](https://quelleia.com/voix/modeles/nvidia-nemotron-speech-streaming-en-0-6b/) | NVIDIA | 6,60 % |
| 33 | [Distil-Large-v3.5](https://quelleia.com/voix/modeles/distil-large-v3-5/) | Hugging Face | 6,76 % |
| 34 | [Zipformer CR-CTC Transducer XL 290M](https://quelleia.com/voix/modeles/soundsgoodai-zipformer-cr-ctc-transducer-xl-290m/) | SoundsGoodAI | 6,82 % |
| 35 | [Phonon-2](https://quelleia.com/voix/modeles/fermionresearch-phonon-2/) | Fermion Research | 6,87 % |
| 36 | [Whisper Large v3](https://quelleia.com/voix/modeles/whisper-large-v3/) | OpenAI | 7,16 % |
| 37 | [Fun-ASR-Nano-2512-hf](https://quelleia.com/voix/modeles/funaudiollm-fun-asr-nano-2512-hf/) | FunAudioLLM | 7,24 % |
| 38 | [Voxtral Mini](https://quelleia.com/voix/modeles/voxtral-mini/) | Mistral AI | 7,25 % |
| 39 | [Canary 1B v2](https://quelleia.com/voix/modeles/nvidia-canary-1b-v2/) | NVIDIA | 7,27 % |
| 40 | [Parakeet CTC 1.1B](https://quelleia.com/voix/modeles/nvidia-parakeet-ctc-1-1b/) | NVIDIA | 7,40 % |
| 41 | [Whisper Large v3 Turbo](https://quelleia.com/voix/modeles/whisper-large-v3-turbo/) | OpenAI | 7,64 % |
| 42 | [OWSM-CTC v4](https://quelleia.com/voix/modeles/espnet-owsm-ctc-v4-1b/) | ESPnet | 8,08 % |
| 43 | [omniASR-LLM-7B-v2](https://quelleia.com/voix/modeles/meta-omniasr-llm-7b-v2/) | Meta | 8,13 % |
| 44 | [VibeVoice-ASR-HF](https://quelleia.com/voix/modeles/microsoft-vibevoice-asr-hf/) | Microsoft | 8,16 % |
| 45 | [Audio8-ASR-0.1B](https://quelleia.com/voix/modeles/edge0-audio8-asr-0-1b/) | Edge0 | 8,29 % |
| 46 | [Voxtral Mini 4B Realtime](https://quelleia.com/voix/modeles/voxtral-mini-4b-realtime/) | Mistral AI | 8,44 % |
| 47 | [niagara-84m-batch.en](https://quelleia.com/voix/modeles/abr-ai-niagara-84m-batch-en/) | Applied Brain Research | 9,69 % |
| 48 | [Nemotron 3.5 ASR](https://quelleia.com/voix/modeles/nvidia-nemotron-3-5-asr-streaming-0-6b/) | NVIDIA | 9,75 % |
| 49 | [niagara-38m-batch.en](https://quelleia.com/voix/modeles/abr-ai-niagara-38m-batch-en/) | Applied Brain Research | 11,14 % |
| 50 | [omniASR-CTC-7B-v2](https://quelleia.com/voix/modeles/meta-omniasr-ctc-7b-v2/) | Meta | 11,50 % |
| 51 | [Gemma 4 E4B](https://quelleia.com/voix/modeles/google-gemma-4-e4b-it/) | Google | 11,86 % |
| 52 | [niagara-19m-batch.en](https://quelleia.com/voix/modeles/abr-ai-niagara-19m-batch-en/) | Applied Brain Research | 12,97 % |
| 53 | [niagara-9m-batch.en](https://quelleia.com/voix/modeles/abr-ai-niagara-9m-batch-en/) | Applied Brain Research | 16,20 % |