14 releases covered on ThursdAI · mistral.ai ↗
Mistral Medium 3.5: 128B dense flagship with 256K context
Mistral launched Medium 3.5, a 128B dense flagship model with 256K context and configurable reasoning, released with weights on Hugging Face. Alongside it Mistral shipped a Vibe coding agent.
Mistral drops Voxtral TTS, a 3B open-weight text-to-speech model
Mistral released Voxtral TTS, its first text-to-speech model, as breaking news during the live show: 3 billion parameters, open weights, with emotion controls for neutral, happy, and frustrated voices. Mistral claims it beats ElevenLabs Flash v2.5 in human preference tests with a 58% win rate on flagship voices and 68% on zero-shot voice cloning, though Alex's live test found it decent rather than stunning.
Mistral Small 4: 119B MoE with 6B active unifies vision, coding, reasoning
Mistral returned to open source with Small 4, a 119B-parameter MoE with 128 experts and only 6B active per token, released under Apache 2.0. It unifies the previous Pixtral (vision), Devstral (coding), and Magistral (reasoning) lines into one model and can fit on a single H100 when compressed. Early WolfBench results are sobering at ~17% on OpenClaw agent tasks, roughly on par with similarly sized Nemotron.
Mistral's Voxtral Transcribe 2 dethrones Whisper as SOTA transcription
Mistral AI launched Voxtral Transcribe 2, state-of-the-art speech-to-text with sub-200ms latency, native diarization support, and open weights under Apache 2.0. The panel called it the first model to dethrone Whisper after roughly three years, and Alex used it to transcribe this very episode.
Mistral OCR 3 claims 74% win-rate over OCR v2 with aggressive pricing
Mistral released OCR 3, its latest document intelligence model, claiming a 74% win-rate over OCR v2. The panel highlighted its aggressive pricing and document performance gains as part of the open-source-adjacent European push on practical document AI.
Mistral returns to Apache 2.0 with Mistral Large 3 and Ministral 3
Mistral relaunched its model family under permissive Apache 2.0 licensing with Mistral Large 3 and the small Ministral 3 edge models. Large 3 ships a 256K context window and strong open-model coding positioning. The licensing shift reignited discussion around open model portability and deployability.
Mistral updates its open reasoning model with Magistral-Small-2509
Mistral published Magistral-Small-2509, an updated checkpoint of its small open-weights reasoning model. The refresh keeps Mistral's open reasoning line current as the open-model competitive baseline moves quickly.
Mistral adds 20+ MCP-powered connectors and Memories to Le Chat
Mistral upgraded Le Chat with more than 20 MCP-powered connectors and controllable Memories targeted at enterprise workflows. The update positions Le Chat as a serious enterprise assistant by wiring it into existing tools via the Model Context Protocol while giving users explicit control over what the assistant remembers.
Mistral launches Agents API for building tool-using agents
Mistral released an Agents API, a framework for building custom tool-using agents on top of Mistral models. It joins the wave of big-lab agent frameworks, letting developers wire up tools and orchestrate agentic workflows through Mistral's platform.
Mistral ships new state-of-the-art embedding API
Mistral announced a new state-of-the-art embedding API. The release gives developers a SOTA option for retrieval and semantic search workloads served through Mistral's platform.
Mistral releases Classifiers Factory
Mistral announced Classifiers Factory, a service for building and training custom text classifiers on its platform. Covered as a quick item in the Big CO LLMs + APIs section of the show.
Mistral Small 3.1 24B: open-weights multimodal model
Mistral released Mistral Small 3.1, a 24B-parameter open-weights model that adds multimodal (vision) capabilities to the Small line. Both instruct and base checkpoints were published on Hugging Face, making it a strong local multimodal option at the 24B size class.
Mistral announces state-of-the-art OCR API
Mistral AI announced Mistral OCR, a document-understanding API the company claims is state of the art at extracting text, tables, and equations from complex documents. It targets RAG and document-processing pipelines with structured markdown output.
Mistral Small 2501: 24B open-weights model under Apache 2.0
Mistral AI released Mistral Small 2501, a 24B-parameter instruct model under the permissive Apache 2.0 license. Announced as breaking news during the show, it continues Mistral's tradition of strong small open models suitable for fine-tuning and local deployment.
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