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Mistral debuts Mistral Small 3.1, a 24B-parameter multimodal and multilingual open-source model it says outperforms Gemma 3 and GPT-4o-mini and runs on 32GB RAM

SOTA.  Multimodal.  Multilingual.  Apache 2.0  —  Research Hugging Face : Mistral-Small-3.1-24B-Base-2503 like 41  —  Mistral AI_ 6.32k  —  Model Card for Mistral-Small-3.1-24B-Base-2503 Google Cloud : Available Mistral AI models Ankush Das / Analytics India Magazine : Mistral's New Open Source Model ‘Mistral Small 3.1’ Outshines Gemma 3, GTP-4o Mini Chris McKay / Maginative : Mistral Small 3.1 Outperforms Gemma 3 and GPT-4o Mini Mike Wheatley / SiliconANGLE : Mistral AI's newest model packs more power in a much smaller package Matthias Bastian / The Decoder : Mistral launches improved Small 3.1 multimodal model Bluesky: Nicolai von Ondarza / @nvondarza : Meanwhile, French AI company Mistral continues to compete for Europe in the AI space, today with the release of Mistral Small 3.1, which beats comparable small models both from open source and US companies: X: Ethan Mollick / @emollick : So far, as LLM model size gets larger, it seems to have a direct effect on reducing known problems with LLMs. Bigger LLMs hallucinate less, show less bias, and are less sensitive to prompting style, among other things. Not that these problems go away, but they do decrease. @googlecloudtech : We're excited to welcome @MistralAI's newest model, Mistral Small 3.1, to Vertex AI! Mistral Small 3.1 is an #OpenSource, multimodal model designed for programming, mathematical reasoning, document understanding, visual understanding, and more → https://console.cloud.google.com/ ... [image] @olafgeibig : @MistralAI Including a base model is so huge about Mistral Small 3.1. Can't wait to try what @NousResearch, @cognitivecompai and others do with it. Brings back the good ol Mistral 7B memories. [image] Simon Willison / @simonw : Mistral Small 3 was already one of my favorite local models, now 3.1 adds multimodal image support and a 128,000 token context Paul Couvert / @itspaulai : Mistral AI just released Small 3.1 that outperforms other models in many benchmarks 🔥 → 100% free and open source → Better than GPT-4o Mini → Better than Claude 3.5 Haiku → Multimodal You can run it locally (only 24B!) on a laptop. Links below [image] Sophia Yang, Ph.D. / @sophiamyang : Announcing @MistralAI Small 3.1: multimodal, multilingual, Apache 2.0, the best model in its weight class. 💻 Lightweight: Runs on a single RTX 4090 or a Mac with 32GB RAM, perfect for on-device applications. 🗣️ Fast-Response Conversations: Ideal for virtual assistants and other [image] @kimmonismus : Mistral Small 3.1: intelligence too cheap to meter! It's crazy how quickly small models are getting better and cheaper! - Performance: Best in class for its weight class, outperforms comparable models such as Gemma 3 and GPT-4o Mini - Size: 24B parameters - License: Apache [image]

VentureBeat Michael Nuñez

Discussion

  • @nvondarza Nicolai von Ondarza on bluesky
    Meanwhile, French AI company Mistral continues to compete for Europe in the AI space, today with the release of Mistral Small 3.1, which beats comparable small models both from open source and US companies:
  • @emollick Ethan Mollick on x
    So far, as LLM model size gets larger, it seems to have a direct effect on reducing known problems with LLMs. Bigger LLMs hallucinate less, show less bias, and are less sensitive to prompting style, among other things. Not that these problems go away, but they do decrease.
  • @googlecloudtech @googlecloudtech on x
    We're excited to welcome @MistralAI's newest model, Mistral Small 3.1, to Vertex AI! Mistral Small 3.1 is an #OpenSource, multimodal model designed for programming, mathematical reasoning, document understanding, visual understanding, and more → https://console.cloud.google.com/ …
  • @olafgeibig @olafgeibig on x
    @MistralAI Including a base model is so huge about Mistral Small 3.1. Can't wait to try what @NousResearch, @cognitivecompai and others do with it. Brings back the good ol Mistral 7B memories. [image]
  • @simonw Simon Willison on x
    Mistral Small 3 was already one of my favorite local models, now 3.1 adds multimodal image support and a 128,000 token context
  • @itspaulai Paul Couvert on x
    Mistral AI just released Small 3.1 that outperforms other models in many benchmarks 🔥 → 100% free and open source → Better than GPT-4o Mini → Better than Claude 3.5 Haiku → Multimodal You can run it locally (only 24B!) on a laptop. Links below [image]
  • @sophiamyang Sophia Yang, Ph.D. on x
    Announcing @MistralAI Small 3.1: multimodal, multilingual, Apache 2.0, the best model in its weight class. 💻 Lightweight: Runs on a single RTX 4090 or a Mac with 32GB RAM, perfect for on-device applications. 🗣️ Fast-Response Conversations: Ideal for virtual assistants and other […
  • @kimmonismus @kimmonismus on x
    Mistral Small 3.1: intelligence too cheap to meter! It's crazy how quickly small models are getting better and cheaper! - Performance: Best in class for its weight class, outperforms comparable models such as Gemma 3 and GPT-4o Mini - Size: 24B parameters - License: Apache [image…