Laguna S 2.1

Laguna S 2.1

Poolside
+
+

Related Products

  • Nexo
    18,395 Ratings
    Visit Website
  • GWI
    198 Ratings
    Visit Website
  • Checksum.ai
    1 Rating
    Visit Website
  • Declarative Webhooks
    3 Ratings
    Visit Website
  • Zendesk
    7,954 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Forethought
    166 Ratings
    Visit Website
  • Concord
    237 Ratings
    Visit Website
  • Auth0
    1,065 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    984 Ratings
    Visit Website

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.

About

​Moondream is an open source vision language model designed for efficient image understanding across various devices, including servers, PCs, mobile phones, and edge devices. It offers two primary variants, Moondream 2B, a 1.9-billion-parameter model providing robust performance for general-purpose tasks, and Moondream 0.5B, a compact 500-million-parameter model optimized for resource-constrained hardware. Both models support quantization formats like fp16, int8, and int4, allowing for reduced memory usage without significant performance loss. Moondream's capabilities include generating detailed image captions, answering visual queries, performing object detection, and pinpointing specific items within images. Its design emphasizes versatility and accessibility, enabling deployment across a wide range of platforms. ​

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Private AI infrastructure teams that need a compact, self-hostable model for long-running coding and software-engineering agents

Audience

Developers and researchers in search of a solution for integrating advanced image understanding into applications across diverse devices

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

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

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

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Moondream
Founded: 2024
United States
moondream.ai/

Alternatives

Claude Fable 5

Claude Fable 5

Anthropic

Alternatives

SmolVLM

SmolVLM

Hugging Face
Claude Opus 5

Claude Opus 5

Anthropic
Pixtral Large

Pixtral Large

Mistral AI
GLM-5.2

GLM-5.2

Zhipu AI
Mistral Small

Mistral Small

Mistral AI
Laguna XS 2.1

Laguna XS 2.1

Poolside
LongCat-2.0

LongCat-2.0

LongCat

Categories

Categories

Integrations

Agent Client Protocol (ACP)
Claude Code
Cline
Hermes Agent
Hugging Face
IntelliJ IDEA
Kilo Code
Lens
Nous Portal
Ollama
OpenAI Codex
OpenClaw
OpenRouter
Photon
Poolside
Roo Code
Vision Agents
Visual Studio
Visual Studio Code
Zed

Integrations

Agent Client Protocol (ACP)
Claude Code
Cline
Hermes Agent
Hugging Face
IntelliJ IDEA
Kilo Code
Lens
Nous Portal
Ollama
OpenAI Codex
OpenClaw
OpenRouter
Photon
Poolside
Roo Code
Vision Agents
Visual Studio
Visual Studio Code
Zed
Claim Laguna S 2.1 and update features and information
Claim Laguna S 2.1 and update features and information
Claim Moondream and update features and information
Claim Moondream and update features and information