Qwen2.5: Large-Scale Open-Source Foundation Model Family Release
Alibaba's Qwen team has released Qwen2.5, described as potentially the largest open-source model release in history, following three months of development after Qwen2. The release encompasses a family of foundation models with improvements in knowledge and reasoning capabilities. The announcement targets developers who have been building on Qwen2 and incorporates feedback from that community.
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Introducing Qwen1.5: Open-Source Models Across Eight Sizes Including MoE
Alibaba's Qwen team released Qwen1.5, open-sourcing both base and chat models in eight sizes ranging from 0.5B to 110B parameters, plus a Mixture-of-Experts (MoE) variant. The release emphasizes developer experience improvements alongside model quality. Models are available on GitHub, Hugging Face, and ModelScope.
Qwen2 Model Family Released: Five Sizes, 128K Context, Multilingual
Alibaba's Qwen team has released Qwen2, an evolution from Qwen1.5, comprising five pretrained and instruction-tuned models ranging from 0.5B to 72B parameters, including a 57B mixture-of-experts variant (57B-A14B). The release highlights training on 27 additional languages beyond English and Chinese, significantly improved coding and mathematics performance, and extended context support up to 128K tokens for the 7B and 72B instruct variants. Benchmark results are claimed to be state-of-the-art across a large number of evaluations.
Introducing the Qwen Series: Overview of Alibaba's Open-Source LLM Journey
Alibaba's Qwen team published a retrospective introduction to the Qwen series of large language models, four months after the initial Qwen-7B open-source release. The post consolidates links to their paper, GitHub, Hugging Face, and ModelScope repositories, and outlines the team's objectives for the open-source LLM program. It serves as a canonical reference point for the Qwen model family's public positioning.
Qwen2.5-Coder Released: Next-Generation Open-Source Coding Model
Alibaba's Qwen team has released Qwen2.5-Coder, the next generation of their open-source coding-specialized language model, succeeding CodeQwen1.5 which launched in April 2024. The release also marks a rebranding from CodeQwen to Qwen-Coder. The model is available on GitHub, Hugging Face, and ModelScope.
Qwen2.5-1M: Open-Source Models with 1M Token Context Window Released
Alibaba's Qwen team has released two open-source models, Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M, extending context length to 1 million tokens. This follows the earlier upgrade of the proprietary Qwen2.5-Turbo to 1M context two months prior. The release includes inference framework support for deployment, marking the first time Qwen's open-weight models have reached this context length.
Alibaba releases Qwen3.5 open-weights vision-language model family with MoE architecture across eight sizes
Alibaba released the Qwen3.5 family of eight open-weights vision-language models ranging from 0.8B to 397B parameters, built on a mixture-of-experts architecture with mixed attention and Gated DeltaNet layers. The flagship Qwen3.5-397B-A17B outperforms GPT-5.2, Claude 4.5 Opus, and Gemini-3 Pro on 28 of 44 vision benchmarks, while the 9B model surpasses OpenAI's gpt-oss-120B on most language tasks. Open weights are available under Apache 2.0, with hosted agentic variants (Qwen3.5-Plus, Qwen3.5-Flash) available via Alibaba Cloud. The release is notable for strong small-model efficiency and comes amid reported team departures following the Qwen3 rollout.
Qwen2.5-Max: Large-Scale MoE Model Release by Alibaba's Qwen Team
Alibaba's Qwen team announces Qwen2.5-Max, a large-scale Mixture-of-Experts language model. The post acknowledges that scaling insights for very large MoE models have been limited, citing DeepSeek V3's recent disclosures as a reference point. The model is positioned as a frontier-scale MoE system developed concurrently with ongoing Qwen2 research.
CodeQwen1.5: Alibaba's Open-Source Code LLM Release
Alibaba's Qwen team released CodeQwen1.5, an open-source large language model specialized for code generation and programming assistance. The release is positioned as a transparent, accessible alternative to proprietary coding assistants like GitHub Copilot, addressing concerns around cost, privacy, security, and copyright. The model is available on GitHub, HuggingFace, and ModelScope.