“@MistralAI Amazingly multilingual and long context capabilities: https://x.com/sophiamyang/status/1901676699361882439
“@MistralAI Available on @huggingface: https://x.com/sophiamyang/status/1901677007278092508
“@MistralAI Outperform comparable models – instruct benchmarks: https://x.com/sophiamyang/status/1901676305025774020
“Announcing @MistralAI Small 3.1: multimodal, multilingual, Apache 2.0, the best model in its weight class. đź’» 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 https://x.com/sophiamyang/status/1901675671815901688
“I tested a bunch of models on instruction following on patents yesterday. Findings: – Mistral Small 3 is better than Gemini Flash 2.0 – Mistral models are pretrained on way more patents, evident by their lower perplexity scores” / X https://x.com/casper_hansen_/status/1901540769040683214
“Mistral’s endpoint is priced amongst the cheapest models with pricing of $0.1/$0.3 per million input/output tokens, equivalent to Mistral Small 3. https://x.com/ArtificialAnlys/status/1902017029147865535
“@MistralAI @huggingface We also support enterprise deployments with private and optimized inference infrastructure. Check out our blog post for details: https://x.com/sophiamyang/status/1901677325588078774
“Mistral have released Mistral Small 3.1, adding image input and a 128k token context window to Mistral Small 3 Key results and info: ➤ @MistralAI Small 3.1 scores an Artificial Analysis Intelligence Index of 35, in line with Mistral 3 and other models such as GPT-4o mini and https://x.com/ArtificialAnlys/status/1902017023917666351
Mistral Small 3.1 | Mistral AI https://mistral.ai/news/mistral-small-3-1
“Nice video on @MistralAI Small 3.1 from @1littlecoder 🫶 https://x.com/sophiamyang/status/1902038297620443612
“🔥 Mistral-Small-3.1 (24B) is already #3 on @huggingface after just 1 day! Brings SOTA vision + 128k context while fitting on a 32GB MacBook. Crushes benchmarks in reasoning, multilingual & visual tasks. Apache 2.0 licensed 🚀 https://x.com/fdaudens/status/1902111100503572865
“@MistralAI @huggingface Available on @MistralAI La Plateforme `mistral-small-latest` : https://x.com/sophiamyang/status/1901677125918134276
“@MistralAI Outperform comparable models – multimodal instruct benchmarks: https://x.com/sophiamyang/status/1901676575965282395
“Wow! Mistral just dropped a 24B SOTA Multilingual, Multimodal LLM with 128K context AND Apache 2.0 license 🔥 https://x.com/reach_vb/status/1901670885188071545
“Mistral AI released Small 3.1, a SOTA multilingual and multimodal LLM —24B (can run on a laptop) —128k token context window —Outperforms Gemma 3 and GPT-4o Mini on most benchmarks —Inference speed of 150 tokens/sec —Open-source under Apache 2.0 license https://x.com/rowancheung/status/1901887637465809285
“Introducing Mistral Small 3.1. Multimodal, Apache 2.0, outperforms Gemma 3 and GPT 4o-mini. https://x.com/MistralAI/status/1901668499832918151
