Holo2 vs. Qwen3.8-27B Comparison


Holo2 H Company	Qwen3.8-27B Alibaba	+	+
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About H Company’s Holo2 model family delivers cost-efficient, high-performance vision-language models tailored for computer-use agents that navigate, localize UI elements, and act across web, desktop, and mobile environments. The series, available in 4 B, 8 B, and 30 B-A3B sizes, builds on their earlier Holo1 and Holo1.5 models, retaining strong UI grounding while significantly enhancing navigation capabilities. Holo2 models use a mixture-of-experts (MoE) architecture, activating only necessary parameters, to optimize efficiency. Trained on curated localization and agent datasets, they can be deployed as drop-in replacements for their predecessors. They support seamless inference in frameworks compatible with Qwen3-VL models and can be integrated into agentic pipelines like Surfer 2. In benchmark testing, Holo2-30B-A3B achieved 66.1% accuracy on ScreenSpot-Pro and 76.1% on OSWorld-G, leading the UI localization category.	About Qwen3.8-27B is a compact open-weights model in Alibaba’s Qwen3.8 family, aimed at developers and researchers who want strong local AI performance without using the full Max-scale model. Reports from Alibaba’s Qwen3.8 launch state that Qwen3.8-27B was planned for open-weight release alongside Qwen3.8-Max, expanding access for builders working on AI applications. The model is positioned for coding, research, professional workflows, and local deployment scenarios where a 27B model can be more practical than frontier-scale systems. Qwen3.8’s broader launch emphasizes software development, document processing, data analysis, and professional “cowork” use cases. Qwen3.8-27B is especially relevant for teams that need a capable open model for experimentation, coding agents, assistant workflows, and self-hosted inference. Built for practical deployment, Qwen3.8-27B gives developers a smaller Qwen3.8 option for building AI tools, testing agents, and running advanced language model workflows.
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 AI developers and enterprise teams interested in a solution to build autonomous agents that interact with user-interfaces and need efficient, high‐capability foundation models	Audience Software developers, AI researchers, coding agent builders, local LLM users, startup teams, enterprise AI teams, infrastructure teams, data teams, and organizations that need an open-weights 27B model for coding assistance, agent testing, self-hosted inference, document processing, data analysis, workflow automation, model benchmarking, private deployment, and Qwen-family experimentation
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 No information available. Free Version Not Supported Free Trial Supported	Pricing No information available. 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 Read all reviews
	Pros & Cons from Real Users Pros A 27B model is big enough to be useful for serious coding, reasoning, writing, and local-agent workflows, but still small enough that developers can realistically experiment with quantized versions on enthusiast hardware. That is the sweet spot for a lot of builders. Not everyone wants a massive cloud-only model, and not every workflow needs a 2T+ parameter system. A strong 27B model can be great for private coding help, local RAG, repo exploration, prompt testing, and lightweight agents. I also like the open-weight/local angle. Community reports around Qwen3.8-27B are already focused on GGUFs, MLX builds, VRAM needs, and local performance, which is exactly the kind of ecosystem momentum that makes a model useful beyond a demo. Cons The main downside is clarity. I would want a stable official model card, confirmed architecture details, benchmarks, license info, and serving recommendations before treating it as a production-ready model.
Training Documentation Supported Webinars Not Supported Live Online Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information H Company Founded: 2023 France www.hcompany.ai/blog/holo2	Company Information Alibaba Founded: 1999 China qwen.ai
Alternatives Holo3 H Company	Alternatives Claude Fable 5.1 Anthropic
Holo3.1 H Company	Claude Mythos 5.1 Anthropic
Holo4 H Company	GPT-6 Astra OpenAI
Holo	Qwen 4 Alibaba
Surfer H H Company View All	Qwen3.6 Alibaba View All
Categories AI Computer Use Agents (CUA) Supported 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

Integrations Alibaba Cloud Not Supported Alibaba Cloud Model Studio Not Supported Cherry Studio Not Supported Cline Not Supported ClinePass 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 Code Not Supported Qwen Studio Not Supported Qwen3 Supported QwenCloud Not Supported Surfer H Supported Show More Integrations View All 2 Integrations	Integrations Alibaba Cloud Supported Alibaba Cloud Model Studio Supported Cherry Studio Supported Cline Supported ClinePass 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 Code Supported Qwen Studio Supported Qwen3 Not Supported QwenCloud Supported Surfer H Not Supported Show More Integrations View All 19 Integrations
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