K2 Think vs. Qwen3.8-Max Comparison


K2 Think Institute of Foundation Models	Qwen3.8-Max Alibaba	+	+
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About K2 Think is an open source advanced reasoning model developed collaboratively by the Institute of Foundation Models at MBZUAI and G42. Despite only having 32 billion parameters, it delivers performance comparable to flagship models with many more parameters. It excels in mathematical reasoning, achieving top scores on competitive benchmarks such as AIME ’24/’25, HMMT ’25, and OMNI-Math-HARD. K2 Think is part of a suite of UAE-developed open models, alongside Jais (Arabic), NANDA (Hindi), and SHERKALA (Kazakh), and builds on the foundation laid by K2-65B, the fully reproducible open source foundation model released in 2024. The model is designed to be open, fast, and flexible, offering a web app interface for exploration, and with its efficiency in parameter positioning, it is a breakthrough in compact architectures for advanced AI reasoning.	About Qwen3.8-Max is Qwen’s most capable model to date, built as a Max-class AI model for coding, work, research, long-horizon tasks, and multimodal agents. It scales to 2.4 trillion parameters with 95 billion active parameters and is available through QwenCloud. The model is designed to complete complex, open-ended tasks end to end with greater reliability and minimal human involvement. Qwen3.8-Max supports autonomous coding workflows, agentic development, research reproduction, visual reasoning, document understanding, video analysis, and real-world productivity tasks. It can integrate with popular agent frameworks and coding assistants, including Claude Code, Codex, Qoder CLI, Qwen Code, and OpenClaw. Built for developers, researchers, enterprises, and AI agent builders, Qwen3.8-Max helps teams automate sophisticated work across code, documents, tools, interfaces, and multimodal content.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Researchers, developers, or institutions wanting a tool providing a model for mathematical or logical tasks, especially where resources are limited but performance is required	Audience Developers and AI teams that need scalable access to text, image, video, audio, and multimodal AI models for building applications
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing $2 per 1M (input) $2 per 1 million tokens (input), $6 per 1 million tokens (output) Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros Qwen3.8-Max is really interesting from a developer’s perspective. A 2.4T-parameter model that can handle text, images, video, and documents has a lot of potential for coding agents, repo analysis, multimodal debugging, and workflows where the model needs to understand more than just plain text. Cons The biggest downside is that a lot of the hype still needs proof. Alibaba is claiming Qwen3.8-Max trails only Fable 5, but current reports say there are no public benchmark scores, no model card, no activated-parameter count, and no independent leaderboard results yet.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Institute of Foundation Models United States www.k2think.ai/k2think	Company Information Alibaba Founded: 1999 China qwen.ai
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Qwen3.6-27B Alibaba	GPT-6.1 Sol OpenAI
Sarvam 105B Sarvam	Qwen3.8-2.4T-A95B Alibaba
Kimi K2 Thinking Moonshot AI View All	Qwen3.5 Alibaba View All
Categories AI Models Supported Large Language Models Supported Open-Weight AI Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported Multimodal Models Supported Open-Weight AI Models Supported

Integrations Alibaba Cloud Model Studio Not Supported Cherry Studio Not Supported Cline Not Supported ClinePass Not Supported Happy Shrimp 1.0 Not Supported Hermes Agent Not Supported Hugging Face Not Supported Model Context Protocol (MCP) Not Supported ModelScope Not Supported Novita AI Not Supported Odysseus Not Supported OfoxAI Not Supported Ollama Not Supported OpenClaw Not Supported Python Not Supported Qwen Not Supported Qwen Code Not Supported Qwen Studio Not Supported QwenCloud Not Supported QwenWork Not Supported Show More Integrations	Integrations Alibaba Cloud Model Studio Supported Cherry Studio Supported Cline Supported ClinePass Supported Happy Shrimp 1.0 Supported Hermes Agent Supported Hugging Face Supported Model Context Protocol (MCP) Supported ModelScope Supported Novita AI Supported Odysseus Supported OfoxAI Supported Ollama Supported OpenClaw Supported Python Supported Qwen Supported Qwen Code Supported Qwen Studio Supported QwenCloud Supported QwenWork Supported Show More Integrations View All 21 Integrations
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