Holo2

Holo2

H Company
Laguna S 2.1

Laguna S 2.1

Poolside
+
+

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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

Laguna S 2.1 is an open weight agentic coding model designed to pursue longer-horizon work and make effective use of reasoning. It uses a 118-billion-parameter Mixture-of-Experts architecture with 8 billion active parameters per token and supports a context window of up to one million tokens in both thinking and no-thinking modes. Its compact active size makes it suitable for complex work on local machines while remaining competitive with models many times larger on terminal, software-engineering, codebase-question-answering, and tool-use benchmarks. Laguna S 2.1 is built to keep working through difficult tasks with greater persistence, verification, and willingness to backtrack instead of declaring success too early. In demonstrated runs, it built and validated a browser rendering engine from an empty folder, optimized an agent harness for faster execution and substantially lower memory allocation, and completed extended mathematical research using the tools in its environment.

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

Developers and engineering teams seeking an efficient reasoning model for long-horizon coding, software engineering, and agentic tasks

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 Not Supported

Screenshots and Videos

Screenshots and 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

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5

Pros & Cons from Real Users

Pros

  • Laguna S 2.1 looks awesome from a developer’s point of view because it is built specifically for agentic coding, not just general chatbot tasks. I like that it is open-weight, relatively compact for its capability, and designed for the kind of workflows where an AI needs to inspect a repo, reason through changes, edit code, and keep moving across multiple steps. The 1M-token context window is a huge plus. For real engineering work, context is everything: source files, docs, logs, tests, tickets, configs, and previous attempts all matter. Having a coding model that can handle that much context makes it much more useful for serious repo-level work.

Cons

  • It is still new, so I would want to test it heavily before trusting it with production code. Coding benchmarks are useful, but the real test is messy repos, weird dependencies, flaky tests, security-sensitive changes, and long-running agent loops.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Not Supported

Company Information

H Company
Founded: 2023
France
www.hcompany.ai/blog/holo2

Company Information

Poolside
Founded: 2023
United States
poolside.ai/blog/introducing-laguna-s-2-1

Alternatives

Holo3

Holo3

H Company

Alternatives

Holo3.1

Holo3.1

H Company
Holo4

Holo4

H Company
Laguna XS 2.1

Laguna XS 2.1

Poolside
Surfer H

Surfer H

H Company
LongCat-2.0

LongCat-2.0

LongCat

Categories

Categories

AI Coding Models Supported
AI Models Supported

Integrations

Agent Client Protocol (ACP) Not Supported
Claude Code Not Supported
Cline Not Supported
Hermes Agent Not Supported
Hugging Face Not Supported
IntelliJ IDEA Not Supported
Kilo Code Not Supported
Nous Portal Not Supported
Ollama Not Supported
OpenAI Codex Not Supported
OpenClaw Not Supported
OpenCode Not Supported
OpenRouter Not Supported
Poolside Not Supported
Qwen3 Supported
Roo Code Not Supported
Surfer H Supported
Visual Studio Not Supported
Visual Studio Code Not Supported
Zed Not Supported

Integrations

Agent Client Protocol (ACP) Supported
Claude Code Supported
Cline Supported
Hermes Agent Supported
Hugging Face Supported
IntelliJ IDEA Supported
Kilo Code Supported
Nous Portal Supported
Ollama Supported
OpenAI Codex Supported
OpenClaw Supported
OpenCode Supported
OpenRouter Supported
Poolside Supported
Qwen3 Not Supported
Roo Code Supported
Surfer H Not Supported
Visual Studio Supported
Visual Studio Code Supported
Zed Supported
Claim Holo2 and update features and information
Claim Holo2 and update features and information
Claim Laguna S 2.1 and update features and information
Claim Laguna S 2.1 and update features and information