AI Daily · Oct 7, 2026 · Wednesday
Mistral releases Mistral Large 4, a 1-trillion-parameter native multimodal model
AI summary
Mistral has released a public preview of Mistral Large 4, a 1-trillion-parameter native multimodal model with 49B active parameters, available to try via the preview API in Mistral Studio, with weights to be released at the end of this month. On the same day, Reflection released Beam, a 501B-A23B US open-source MoE model, Google DeepMind released EmbeddingGemma 2, an open-source multimodal embedding model, and GLM 5.3 launched on Amazon Bedrock.
Model releases
Introducing Mistral Large 4
Today, we're launching a public preview of Mistral Large 4. Unofficially ML4, very officially: le Chonk. ML4 pushes the frontier of open-weight performance. You can try the preview API today on Mistral Studio. Weights drop end of this month.
[AINews] Reflection Beam - 501B-A23B American Open Model
Reflection announced Beam, a text-only 501B-total / 23B-active MoE for coding, agentic and scientific work. It was trained from scratch, and full weights under Apache 2.0 are due this month.
EmbeddingGemma 2: an open, lightweight multimodal embedding model
EmbeddingGemma 2 is the most capable model for on-device multimodal embeddings, natively mapping combinations of text, images, audio, and video into a unified embedding space.
Introducing GLM 5.3 on Amazon Bedrock
GLM 5.3 from Z.ai is now available on Amazon Bedrock: a 753B-parameter mixture-of-experts model built for coding and long-horizon agentic tasks. Learn how to invoke it with the OpenAI-compatible APIs, cut cost and latency with prompt caching, and run an authorized security test with the open-source Strix agent.