Zhipu AI/Text / LLMMajor release
Zhipu AI Releases MIT-Licensed GLM-5.2 MoE Model
The new bilingual model from the Chinese AI firm uses a Mixture of Experts architecture and sparse attention under a fully permissive license.
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The newest open-source Text / LLM releases, from across the ecosystem.
36 releases
The new bilingual model from the Chinese AI firm uses a Mixture of Experts architecture and sparse attention under a fully permissive license.
The new 3-billion-parameter model from the Chinese tech giant focuses on challenging benchmarks in mathematics, coding, and graduate-level questions.
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 Apache 2.0-licensed model is designed for code generation and agentic chat applications, using a Mixture-of-Experts architecture for efficiency.
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 1.8 billion-parameter model from the Chinese tech giant is designed for high-quality translation across a wide range of language pairs.
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 4-billion-parameter model is instruction-tuned for 'any-to-any' tasks, handling a flexible mix of data types.
The new compact model from DeepMind is instruction-tuned for "any-to-any" tasks, capable of processing and generating mixed data types.
The new flagship model combines a Mixture-of-Experts architecture with a permissive MIT license, positioning it for wide commercial adoption.
The new Mixture of Experts model from the Beijing-based AI lab is optimized for fast, efficient conversational AI and carries a fully permissive 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 conversational language model from the Chinese AI company uses a Mixture-of-Experts architecture and 8-bit weights, but is released under a restrictive custom license.
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 4-billion parameter model from Google DeepMind is designed for versatile input and output, handling text, images, and other data types.
The new Mixture-of-Experts model from the Chinese AI company combines an advanced architecture with a fully permissive MIT license for commercial use.
The new Llama-based model was trained from scratch on 3.5 trillion tokens of Chinese and English data to enhance its bilingual capabilities.
The new Mixture-of-Experts model from the Beijing-based AI company is optimized for speed and released under the permissive MIT license.
The new vision-language model from the Chinese AI firm uses a Mixture-of-Experts architecture and is now available on Hugging Face.
The Shanghai-based AI startup has released a new Mixture-of-Experts model focused on complex reasoning, coding, and agentic tasks.
The new 270-million-parameter model from Google DeepMind is fine-tuned specifically for reliable function calling and tool use.
The new Mixture-of-Experts model is available under a permissive MIT license and is optimized for complex reasoning and coding tasks.
The new Qwen3-Next model from Alibaba combines a large parameter count with an efficient MoE architecture to balance performance and computational cost.
The new DeepSeek-V3.1-Base is a massive 671-billion-parameter Mixture-of-Experts model designed for efficient, large-scale research and development.
The new ultra-compact model from DeepMind is designed for efficient performance in resource-constrained environments like mobile and web.
The new `gpt-oss-20b` is an Apache 2.0-licensed Mixture-of-Experts model designed to run efficiently on consumer-grade hardware.
The new 117-billion-parameter `gpt-oss-120b` is a Mixture-of-Experts model focused on reasoning, released under a permissive Apache 2.0 license.
The new Apache 2.0 model from Alibaba's Qwen team uses a Mixture-of-Experts architecture to deliver strong performance with only 3B active parameters.
The new flagship coding model from Alibaba's Qwen team uses a massive Mixture-of-Experts architecture and is released under a permissive Apache-2.0 license.
The new Mixture-of-Experts model combines massive scale with a fully permissive license, targeting complex reasoning and agentic applications.
The new Mixture-of-Experts model brings massive scale to the open-weights community, focusing on complex reasoning and coding tasks with a 128K context window.
