OCR

Tencent's WeChat Vision team released WeVisOne-VL, an Apache 2.0 vision language model in 2B and 4B sizes. One model handles detection, OCR, counting, segmentation and alpha matting, using a 9.6M-parameter pixel decoder.

Xiaomi has released the weights and inference code for Xiaomi-OCR-0, a 0.8B-parameter model that handles document parsing, key information extraction and OCR visual question answering. Xiaomi reports 96.83 on OmniDocBench v1.6, first among models under 1B parameters and second overall.

OpenBMB has released MiniCPM-OCR 1.0, a 1.3B-parameter model and the first OCR-specific model in the MiniCPM-V/o family. It scores 93.68 on Real5-OmniDocBench and 54.7 on OCRBench v2, and ships under Apache 2.0.

SoMark has open-sourced OXR (Optical Everything Recognition), a 1.3B-parameter document parsing model. According to the team, it ranks first on OmniDocBench (97.18), olmOCR-Bench (87.84) and DocParsingBench (87.76), and parsed 100 test pages faster than PaddleOCR-VL-1.6 and MinerU2.5-Pro.

Baidu released Unlimited-OCR-2 on 2026-10-27. It introduces Sparse Reference Sliding Window Attention (SR-SWA), which Baidu says keeps per-step decoding latency and memory nearly constant regardless of document length. Baidu claims state-of-the-art results on MPDocBench and MarathonDocBench.

Moondream 3 Preview is a vision-language model with 9B total and 2B active parameters (mixture-of-experts), a 32K-token context window and an optional reasoning mode. OpenRouter lists it at $0.30 per 1M input tokens and $2.50 per 1M output tokens, served by Prime Intellect.

Moondream has released Moondream 3.1, a mixture-of-experts vision-language model with 9B total and 2B active parameters and a 32K-token context window. It is listed on OpenRouter at $0.30 per 1M input tokens and $2.50 per 1M output tokens, with an optional reasoning mode.

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 released Amazon Bedrock Data Automation (BDA), a foundation model-powered service designed to extract and validate structured data from financial documents. The service uses custom blueprints to process bank statements, W-2 tax forms, 1099-B forms, and vendor contracts, offering what AWS claims is industry-leading accuracy at lower cost than using foundation models directly.

Baidu has released Qianfan-OCR-Fast, a multimodal model specialized for optical character recognition tasks. The model offers a 66,000 token context window and is priced at $0.68 per 1M input tokens and $2.81 per 1M output tokens.

Perceptron has released Perceptron Mk1, a vision-language model designed for video understanding and embodied reasoning tasks. The model accepts image and video inputs with 33K context window, priced at $0.15 per 1M input tokens and $1.50 per 1M output tokens, and supports structured spatial annotations on demand.

NVIDIA released Nemotron-3-Nano-Omni-30B-A3B, a multimodal large language model with 31 billion parameters that processes video, audio, images, and text with up to 256K token context. The model uses a Mamba2-Transformer hybrid Mixture of Experts architecture and supports chain-of-thought reasoning mode.