EmbeddingGemma 2: on-device multimodal embeddings under Apache 2.0
Google DeepMind's 740M open-weight EmbeddingGemma 2 maps text, images, video, and audio into one shared 768-dimensional vector space for local search and RAG.
DeepSeek V4-Flash-Vision-Exp: first multimodal model
DeepSeek's experimental vision model matches V4-Flash on text tasks and adds image input at the same pricing; new Files API lets you upload once and reuse across requests.
Meta Muse Glimmer 30B: Apache agentic multimodal model
Meta's Muse Glimmer is a 30B Apache-2.0 multimodal model distilled from Muse Spark that fits a 24GB consumer GPU with 4-bit quantization. Architecture, benchmarks, and DFlash.
Moonshot AI Kimi K3: 2.8T open-weights MoE model
Kimi K3 is a 2.8T-parameter open-weights MoE model built on Kimi Delta Attention and Attention Residuals, with 1M-token context and native vision. Weights to follow by July 27.