Multimodal

Mistral AI released OCR 4, a compact document extraction model that returns bounding boxes, block classification, and inline confidence scores alongside text. The model supports 170 languages, scores 85.20 on OlmOCRBench, and is priced at $4 per 1,000 pages via API ($2 with batch discount) or $5 per 1,000 pages through Document AI.

Amazon Web Services today announced availability of Google DeepMind's Gemma 4 family on Amazon Bedrock. The open-weight models include three instruction-tuned variants spanning 2.3B to 30.7B parameters, with 256K context windows, multimodal input support, and built-in reasoning mode.

Alibaba Cloud has released Qwen3.6-35B-A3B, an open-weight sparse mixture-of-experts model with 35 billion total parameters but only 3 billion active parameters per token. The model features a 262K native context window (expandable to 1M tokens), multimodal input support, and integrated reasoning mode with preserved thinking traces.

Amazon released Nova Multimodal Embeddings on Amazon Bedrock, a unified embedding model that processes text, documents, images, video, and audio into a shared 1024-dimensional semantic vector space. The model supports up to 30 seconds of video per embedding and enables semantic search across all modalities simultaneously without converting video to text first.