Moonshot AI/CodeMajor release
Moonshot AI Releases Kimi, a Multimodal Coding Model
The new Mixture-of-Experts model from the Chinese AI company can generate code while also understanding visual inputs, a rare combination in open models.
Category · vision
The newest open-source Vision-Language releases, from across the ecosystem.
34 releases
The new Mixture-of-Experts model from the Chinese AI company can generate code while also understanding visual inputs, a rare combination in open models.
The new 26B parameter model from DeepMind uses a diffusion-based architecture, a technique more common in image generation, to produce text.
The new open-weight model from MiniMax AI combines vision, coding, and reasoning using a Mixture-of-Experts architecture.
The new 12-billion-parameter model from Google DeepMind is designed to handle a flexible mix of data types, moving beyond traditional text and image inputs.
The new 30-billion parameter Mixture-of-Experts model handles text and images while using only 3 billion active parameters for inference.
The new 26-billion-parameter model from DeepMind uses a mixture-of-experts design for greater efficiency and is tuned for assistant-style tasks.
The new 31-billion-parameter model is an instruction-tuned, 'any-to-any' powerhouse released under a permissive Apache 2.0 license.
The new dense model, licensed under Apache 2.0, brings both text and image understanding to the midrange parameter space.
The new Qwen3.6-35B-A3B from Alibaba's Qwen team combines vision and language capabilities using an efficient sparse architecture.
The Chinese AI lab has published weights for its new vision-language model, though a restrictive license limits its use to research applications.
The new open-source vision-language model is designed for high-resolution image understanding on mobile and edge devices.
The new vision-language model from the Chinese tech giant is designed for complex, multilingual optical character recognition and layout analysis.
The new open-source model from DeepMind uses a Mixture-of-Experts architecture to handle both text and image inputs efficiently.
The new 31-billion-parameter model is instruction-tuned and can process both text and images, marking a significant expansion for the Gemma family.
The new 3-billion-parameter model, based on the company's Eagle architecture, is designed for high-precision visual grounding tasks.
The new 4-billion parameter model from Google DeepMind is designed for versatile input and output, handling text, images, and other data types.
The new vision-language model from the creators of the GLM series is specialized for recognizing and extracting text from images across multiple languages.
The new vision-language model from the Chinese AI firm uses a Mixture-of-Experts architecture and is now available on Hugging Face.
The new open-source model from the Allen Institute for AI unifies text and image understanding and generation into a single architecture.
The new vision-language model from Datalab is fine-tuned from Qwen2-VL to specialize in extracting text and structure from complex documents.
The new vision-language model uses a novel context compression technique to efficiently extract text and structure from complex documents.
The new vision-language model is fine-tuned to understand not just text, but the complex structure of tables, charts, and formulas.
The latest vision-language model from the popular Qwen series is instruction-tuned and available under an Apache 2.0 license.
The new 16-billion-parameter model uses a sparse Mixture-of-Experts design to efficiently handle 'any-to-any' data combinations, from text to images.
The new open-source model from Alibaba uses a Mixture-of-Experts architecture to make its powerful vision-language capabilities more efficient to run.
The new 30B Mixture-of-Experts model from Alibaba's Qwen team can process and generate content across text, image, and audio formats.
The new 30-billion-parameter Mixture-of-Experts model from Alibaba's Qwen team is designed to show its reasoning process for complex multimodal tasks.
The new Mixture-of-Experts model from Alibaba is fine-tuned to generate detailed, multilingual descriptions for complex audio content.
The next generation of the efficient, open-source vision-language model is now available for early testing and feedback.
The new vision-language model from the open-source research group demonstrates strong OCR and video understanding capabilities in a small package.
The new Mixture-of-Experts model offers strong multimodal reasoning capabilities under a permissive MIT license.
The new 3B-parameter model from rednote-hilab uses a vision-language approach to parse tables, layouts, and even mathematical formulas.
The new GLM-4.1V-9B-Thinking model makes its vision and chain-of-thought reasoning capabilities available under a permissive MIT license.
The new 3-billion-parameter model from AIDC-AI combines vision-language understanding and image generation into a single 'any-to-any' framework.
