{"slug":"voxtral","name":"Voxtral","domain":"mistral.ai","best_rank":6,"categories":1,"entries":[{"slug":"best-open-source-speech-to-text-model","title":"Best open-source speech-to-text model","rank":6,"of":11,"score":4,"appearances":2,"modelRanks":{"Claude":3,"Grok":5},"reason":"Apache-2.0 speech-LLM (3B Mini and 24B) that pairs Whisper-class-or-better multilingual transcription with genuine audio understanding — Q&A, summarization, and function-calling straight from speech — so one open model covers both transcription and downstream comprehension; assumed the practitioner values this consolidation, which is what lifts it over pure-ASR rivals.","reasons":[{"model":"Claude","reason":"Apache-2.0 speech-LLM (3B Mini and 24B) that pairs Whisper-class-or-better multilingual transcription with genuine audio understanding — Q&A, summarization, and function-calling straight from speech — so one open model covers both transcription and downstream comprehension; assumed the practitioner values this consolidation, which is what lifts it over pure-ASR rivals."},{"model":"Grok","reason":"Competitive high accuracy among open weights (top-tier WER in evaluations); efficient balance of performance and deployability for multilingual or general use; newer architectures offer strong value for practitioners seeking alternatives to NVIDIA/IBM dominance."}],"fixes":[{"model":"Claude","fix":"Heavier than dedicated ASR models for plain transcription — if you only need text out, a 24B (or even 3B) LLM-based stack is overkill in VRAM and cost versus Parakeet."},{"model":"Grok","fix":"Emerging ecosystem with potentially fewer mature deployment tools/forks than established options like Whisper; variable real-world testing depth."}],"updated":"2026-07-15","api":"https://modelsagree.com/api/v1/best/best-open-source-speech-to-text-model.json"}],"page":"https://modelsagree.com/product/voxtral","check":"https://modelsagree.com/check?q=Voxtral","updated":"2026-07-16T03:47:53.793Z","attribution":"modelsagree.com, CC BY 4.0"}