Alibaba Unveils Qwen3.8-Max: Its Largest and Most Capable Flagship Model to Date - Alibaba Cloud

Alibaba unveils Qwen3.8-Max, its most powerful model with 2.4 trillion parameters, excelling in coding, research, and visual intelligence.

Qwen on Twitter / X

Qwen3.8 is launching and going open-weight soon!🌐With a massive 2.4T parameters, this model is continuously evolving. We believe it’s one of the most powerful model available today, compatible to leading frontier AI models , second only to Fable 5.You don't have to wait to… pic.twitter.com/JS3ID73IYS— Qwen (@Alibaba_Qwen) July 19, 2026

Qwen

Qwen is a family of large language models developed by Alibaba Cloud. Many Qwen models are distributed under the free and open-source Apache 2.0 license, the source-available Qwen License, or the non-commercial Qwen Research License; other proprietary Qwen models are served through Alibaba Cloud.

Qwen on Twitter / X

📢Meet Qwen3.8-Max — our most capable model to date. Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:- Autonomous coding: 10+ days of… pic.twitter.com/e3YFj2hqcT— Qwen (@Alibaba_Qwen) August 3, 2026

Something is afoot in the land of Qwen

I’m behind on writing about Qwen 3.5, a truly remarkable family of open weight models released by Alibaba’s Qwen team over the past few weeks. I’m hoping that the 3.5 …

Qwen3-Coder: Agentic Coding in the World

GITHUB HUGGING FACE MODELSCOPE DISCORD Today, we’re announcing Qwen3-Coder, our most agentic code model to date. Qwen3-Coder is available in multiple sizes, but we’re excited to introduce its most powerful variant first: Qwen3-Coder-480B-A35B-Instruct — a 480B-parameter Mixture-of-Experts model with 35B active parameters which supports the context length of 256K tokens natively and 1M tokens with extrapolation methods, offering exceptional performance in both coding and agentic tasks. Qwen3-Coder-480B-A35B-Instruct sets new state-of-the-art results among open models on Agentic Coding, Agentic Browser-Use, and Agentic Tool-Use, comparable to Claude Sonnet 4.

Casper Hansen on Twitter / X

Qwen3.5 Small models about to release!Qwen3.5 9B, 4B, 2B, 0.8B, or something in between is possible.- imagine 9B beating Qwen3-Next-80B- or 4B beating Qwen3-VL-30B in multimodal reasoningBuying a GPU is starting to have high return of intelligence on investment— Casper Hansen (@casper_hansen_) March 1, 2026

qwen3.5:27b

Qwen 3.5 is a family of open-source multimodal models that delivers exceptional utility and performance.

Alibaba Announces Comprehensive Full-Stack AI Upgrade for the Agentic Era

Qwen3.7-Max, upgraded cloud infrastructure and model services, and new T-Head chips announced at Alibaba Cloud Summit

Qwen 3.8 27B is excellent, but it defaults to wildly overthinking things

Friday’s big release was Qwen 3.8 27B, an Apache 2 licensed 27B parameter vision-capable LLM from Alibaba’s Qwen research lab. I’ve been looking forward to this one: 27B is an …

Qwen on Twitter / X

Qwen3-TTS is officially live. We’ve open-sourced the full family—VoiceDesign, CustomVoice, and Base—bringing high quality to the open community.- 5 models (0.6B & 1.8B)- Free-form voice design & cloning- Support for 10 languages- SOTA 12Hz tokenizer for high compression-… pic.twitter.com/BSWpaYoZWj— Qwen (@Alibaba_Qwen) January 22, 2026

Artur Chakhvadze on Twitter / X

We are releasing our first quantized checkpoints for the Qwen3.5 series of models, co-designed jointly with our inference engine to achieve maximum possible performance on Apple hardwareStarting from 0.8B, 2B and 4B modelshttps://t.co/2R8BdhAfzv— Artur Chakhvadze (@norpadon) June 8, 2026

AI Coding Plan-Code Freely. Ship Faster. No Surprise Bills. - Alibaba Cloud

Experience top-tier performance at a fixed monthly price. Qwen3-Coder-Plus, the cost-effective choice. Works with Cline, Claude Code & Qwen Code.

Kimi K2 0711 - API Pricing & Benchmarks

Kimi K2 Instruct is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. $0.57 per million input tokens, $2.30 per million output tokens. 131,072 token context window, maximum output of 32,768 tokens. Includes independent benchmarks from Artificial Analysis.