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Voxtral - Mistral's SOTA ASR model in 3B (mini) and 24B ("small") sizes beats OpenAI Whisper large-v3

**Mistral** surprises with the release of **Voxtral**, a transcription model outperforming **Whisper large-v3**, **GPT-4o mini Transcribe**, and **Gemini 2.5 Flash**. Voxtral models (3B and 24B) support **32k token context length**, handle audios up to **30-40 minutes**, offer built-in **Q&A and summarization**, are **multilingual**, and enable **function-calling** from voice commands, powered by the **Mistral Small 3.1** language model backbone. Meanwhile, **Moonshot AI**'s **Kimi K2**, a non-reasoning **Mixture of Experts (MoE)** model built by a team of around **200 people**, gains attention for blazing-fast inference on **Groq** hardware, broad platform availability including **Together AI** and **DeepInfra**, and local running on **M4 Max 128GB** Mac. Developer tool integrations include **LangChain** and Hugging Face support, highlighting Kimi K2's strong tool use capabilities.
Leer el original en AINews / smol.ai →