New releases

Deep Principle · Deep Principle's open-weights model for scientific research in chemistry, materials science and life sciences, post-trained from Z.ai's GLM-5.3 on domain data…

Meituan · Meituan LongCat team's native multimodal model for long-horizon agentic work such as coding, browsing and tool use: a 1.6-trillion-parameter mixture-of-experts…

Microsoft · Microsoft's 4B open-weight computer-use agent

SenseTime · SenseTime's open-weights looped multimodal model for long-context and agentic work

Datalab · Datalab's open-weights OCR model: one 689M-parameter vision-language model reads a full page and returns each block's type, position and content (text, HTML…

Perplexity · Perplexity's 0.6B and 9B multilingual vision-language contextual embedding models: each chunk of a document is embedded with the rest of the document in view…

Tencent · Tencent WeChat Vision's 9B tool-using agent model for video editing, fine-tuned from Qwen3.5-9B with Xidian University co-authors

Apex Intelligence · Apex Intelligence's first model: a general-purpose and research model fine-tuned from Qwen3.6-35B-A3B (35B total, about 3B active, mixture of experts) with…

DiffuSpace · DiffuSpace's first model: a text-only diffusion language model that writes in blocks, filling masked positions in parallel instead of one token at a time

Papr · The smaller of Papr's two open code-retrieval embedding models, made by further training Qwen3-Embedding-0.6B on code-retrieval data

Papr · Papr's open text embedding model for code retrieval (natural language to code, code to code, SQL), made by further training Qwen3-Embedding-4B on…

SenseTime · SenseTime's open model for code-driven video creation: rather than generating pixels, it writes executable animation code, renders it into a short video…

Liquid AI · Liquid AI's decision model for text, pictures and video, built on LFM3-VL-2B

Liquid AI · Liquid AI's decision model that also listens, built on LFM3-Omni-2B

Liquid AI · Liquid AI's LFM3 text model for local agents and specialized applications, on a new tri-hybrid architecture of gated short convolutions, sliding-window…

Liquid AI · Liquid AI's LFM3 audio model for laptops and edge devices

Liquid AI · Liquid AI's first omni model: one on-device model that takes text, images, video with its soundtrack, and audio, and answers in text and speech, in place of…

Liquid AI · Liquid AI's LFM3 vision-language model for on-device use

Ant Ling (InclusionAI, Ant Group) · The base checkpoint of Ant Ling's Ling-3.1-flash: the pre-trained model before post-training, released as open weights under MIT for continued pre-training…

OpenBMB · OpenBMB's document-parsing model, the first OCR-specific model in the MiniCPM-V/o family

OpenBMB · OpenBMB's OCR checking model

Baidu · Baidu's open-weight OCR vision-language model for long documents

Udgam Labs · Udgam Labs' 278M-parameter Telugu base model, trained from scratch with its own Telugu tokenizer and released under Apache-2.0

Abacus.AI · Abacus.AI's open-weight 12B model that rewrites AI-generated text so it reads as if a person wrote it, keeping the facts, numbers, names and layout while…