Mistral
Mistral Voxtral TTS: Open-Weight Voice AI You Can Run Locally
Voxtral TTS is a 4B open-weight text-to-speech model that beats ElevenLabs Flash v2.5 in blind tests. 70ms latency, 9 languages, voice cloning from 3 seconds. Here's how to run it.
Qwen vs Llama vs Mistral: Which Model Family Should You Build On?
Qwen has 201 languages and a model for every task. Llama has the biggest community. Mistral pioneered efficient MoE. Decision framework for choosing your model family in 2026.
Mixtral VRAM Requirements: 8x7B and 8x22B at Every Quantization Level
Mixtral 8x7B has 46.7B params but only 12.9B activate per token. You still need VRAM for all 46.7B. Exact VRAM for every quant from Q2 to FP16.
Are Mistral Models Still Worth Running? Only Nemo 12B (Here's Why)
Mistral led local AI in 2024. In 2026, Qwen 3 and Llama 3 have passed them on most benchmarks. The exception: Mistral Nemo 12B with 128K context still earns its slot. What's worth running, what's been replaced, and when to pick Mistral over the competition.