6Hacker News (AI-filtered, score >= 200)·
Alibaba Qwen releases Qwen 3.8 model
Alibaba's Qwen team announced Qwen 3.8, a new model in the Qwen 3 series. The announcement generated significant community engagement on Hacker News with 416 points and 314 comments. Details on capabilities and benchmarks are not available from this source snippet alone, but the community response suggests notable interest in the release.
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Related events (8)
Qwen 3.7 Preview Announced by Alibaba
Alibaba's Qwen team has announced a preview of Qwen 3.7, the next iteration in their Qwen 3 model series. The announcement appeared on Twitter/X and generated notable community discussion on Hacker News with 179 points and 67 comments. Specific capability details and model specifications are not available from this source alone.
Qwen 3.8 Max Preview appears on QwenCloud pricing page
A QwenCloud pricing/token-plan page referencing 'Qwen 3.8 Max Preview' surfaced on Hacker News, suggesting Alibaba's Qwen team is preparing or has quietly launched a new flagship model version. The item is a community signal rather than an official announcement, with minimal detail beyond the model name appearing in a pricing context. If confirmed, this would represent a new major release in the Qwen model series.
Alibaba releases Qwen-Image-3.0 multimodal model
Alibaba's Qwen team released Qwen-Image-3.0, a new image-generation or image-understanding model emphasizing rich content, authentic details, and deep knowledge. The announcement is drawing significant community attention on Hacker News with 416 points and 174 comments. This represents a notable update in the competitive multimodal AI space from a major Chinese lab.
Qwen3.7-Max: The Agent Frontier
Alibaba's Qwen team has announced Qwen3.7-Max, positioned as a frontier model for agentic tasks. The announcement appears on the official Qwen blog and generated significant community discussion on Hacker News with 559 points and 217 comments. The model name suggests it is part of the Qwen 3 generation, with a focus on agent capabilities.
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.
Qwen3 Release: Flagship 235B MoE and Full Model Family Announced
Alibaba's Qwen team has released Qwen3, a new family of large language models including the flagship Qwen3-235B-A22B mixture-of-experts model. The flagship model claims competitive benchmark performance against DeepSeek-R1, OpenAI o1/o3-mini, Grok-3, and Gemini-2.5-Pro on coding, math, and general capabilities. A smaller MoE variant, Qwen3-30B-A3B, reportedly outperforms QwQ-32B despite using only one-tenth the activated parameters, and the 4B model is said to match Qwen2.5's larger models. Models are available across Hugging Face, ModelScope, and Kaggle.
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.
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.