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.
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Qwen2.5-Turbo Extends Context Length to 1M Tokens
Alibaba's Qwen team has released Qwen2.5-Turbo, extending the model's context window from 128K to 1 million tokens (approximately 1 million English words). The update includes optimizations for both model capabilities and inference performance at extreme context lengths. The model is available via API and through HuggingFace and ModelScope demos.
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.
Qwen2.5-LLM: Alibaba releases open-weight language models from 0.5B to 72B
Alibaba's Qwen team releases the Qwen2.5 series of decoder-only dense language models, open-sourcing seven variants spanning 0.5B to 72B parameters. The release targets production use cases in the 10-30B range and mobile deployments at 3B scale. This represents a significant expansion of the open-weights frontier from a Tier 1 Chinese AI lab.
Qwen1.5-110B: Alibaba Releases First 100B+ Model in Qwen1.5 Series
Alibaba's Qwen team released Qwen1.5-110B, their first open-weights model exceeding 100 billion parameters. The model claims comparable performance to Meta's Llama-3-70B on base model benchmarks, with strong results on MT-Bench and AlpacaEval 2 chat evaluations. The release follows a wave of large open-source models exceeding 100B parameters from various organizations.
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.
Qwen1.5-32B: Alibaba's 30B-Parameter Capstone for the Qwen1.5 Series
Alibaba's Qwen team released Qwen1.5-32B, a ~30 billion parameter open-weights language model positioned as the capstone of the Qwen1.5 series. The model targets the emerging consensus around 30B parameters as an optimal balance between performance, memory footprint, and inference efficiency. It is released alongside code on GitHub, weights on HuggingFace and ModelScope, and an interactive demo.
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.
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.