🚀 Instella is here—a fully open 3B parameter model suite trained on AMD Instinct™ GPUs. More than just a release, it's a leap for transparent, reproducible AI. Full code, data, & configs included. Explore the future. https://t.co/IJ57GxqP7M
🤖 From this week's issue: The Mistral team released Codestral Embed, their first embedding model specialized for code. https://t.co/VyZUT1Kycy
Mistral AI launches code embedding model, claims edge over OpenAI and Cohere https://t.co/3tUa5m51Uz
Mistral AI has launched Codestral Embed, its first embedding model specifically designed for code. The model outperforms leading competitors including OpenAI's Text Embedding 3 Large, Voyage Code 3, and Cohere Embed v4.0 in real-world retrieval tasks. Codestral Embed is fully open-source under the Apache 2.0 license, allowing commercial use. It surpasses other models such as Gemma 3 27B and DeepSeek V3 on the SWE-Bench Verified benchmark. The model is optimized for agent use and can run locally on a single RTX 4090 GPU or a Mac with 32GB of RAM. This release marks a notable development in AI code embedding technology. Separately, the Instella model suite, a fully open 3 billion parameter model trained on AMD Instinct GPUs, was also announced, emphasizing transparency and reproducibility in AI development.