5Hacker News (AI-filtered, score >= 200)·
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.
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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.
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.
QwQ-Max-Preview Released by Qwen Team
Alibaba's Qwen team has released QwQ-Max-Preview, a preview version of their reasoning-focused model built on top of Qwen2.5-Max. The post is itself generated by the model, serving as a demonstration of its capabilities. As a preview release, it signals an upcoming full model launch in the Qwen series.
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.
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 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 Qwen-VL-Plus and Qwen-VL-Max: Upgraded Multimodal Models from Alibaba
Alibaba's Qwen team has launched two enhanced versions of their multimodal model, Qwen-VL-Plus and Qwen-VL-Max, building on the open-sourced Qwen-VL released in September 2023. Key improvements include substantially boosted image reasoning capabilities, enhanced detail recognition and text extraction from images, and support for high-definition images exceeding one million pixels across various aspect ratios. The upgrades represent a significant step forward in the Qwen-VL series' generalization and visual understanding capabilities.
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.