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Laguna by Poolside vs Wan 2.6: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Laguna by Poolside and Wan 2.6 — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Laguna by Poolside logo

Laguna by Poolside

Poolside

Free

Poolside's family of open Mixture-of-Experts foundation models for agentic coding — XS.2 runs locally, M.1 reaches 72.5% on SWE-bench Verified.

Key features

  • Two Model Sizes: Laguna XS.2 (33B total / 3B active) and Laguna M.1 (225B total / 23B active) target different latency and capability needs.
  • Mixture-of-Experts Architecture: Routes each token through a subset of experts for efficiency at large scale.
  • Local Deployment: XS.2 is small enough to run on a Mac with 36 GB of RAM via Ollama under an Apache 2.0 license.
  • Strong SWE-bench Results: XS.2 hits 68.2% and M.1 reaches 72.5% on SWE-bench Verified.
  • Bundled Coding Agent: Ships 'pool,' a lightweight terminal-based coding agent.
  • Agent Client Protocol: Includes a dual ACP client-server used internally for agent RL training and evaluation.

Best for

  • Local Agentic Coding: Running XS.2 on a laptop for private, offline code generation and editing.
  • High-Capability Code Tasks: Using M.1 for harder, long-horizon software engineering work.
  • Self-Hosted Deployments: Building on open weights to avoid third-party API dependencies.
  • Research & Fine-Tuning: Adapting permissively licensed weights for custom coding workflows.
  • Benchmarking: Evaluating agentic coding performance against SWE-bench Verified and Pro.
View Laguna by Poolside details
Wan 2.6 logo

Wan 2.6

Wan AI

Freemium

Wan 2.6 is Wan's multimodal video-generation model for text-to-video, image-to-video, text-to-image, image-to-image, and image editing.

Key features

  • Text-to-Video Generation: Converts natural-language prompts into multi-frame video outputs, enabling rapid creation of animated concept sequences from text descriptions.
  • Image-to-Video Conversion: Transforms a static image into temporally coherent video content, facilitating motion design and animation starting from existing visuals.
  • Text-to-Image and Image-to-Image: Produces new images from textual prompts and refines or reimagines existing images while preserving stylistic or semantic constraints.
  • Image Editing Tools: Provides in-model editing capabilities to modify, retouch, or augment images based on textual or visual instructions within the platform.
  • Multimodal Input Support: Accepts both text and image inputs to guide generation, allowing combined prompt-and-reference workflows for greater control.
  • Creative Workflow Integration: Designed as part of the Wan platform to streamline creative iteration, enabling creators to prototype and refine ideas quickly using unified tools.
  • Text-to-image synthesis from natural-language prompts
  • Image-to-image transformation and style transfer
  • Text-to-video generation for short-form video creation
  • Image-to-video conversion and animation of stills
  • Image editing tools (retouching, compositing, iterative edits)
  • Web-based platform for onboarding and content export
  • Workflow tools for rapid prototyping and iterative refinement

Best for

  • Marketing Video Production: Generate short promotional videos from campaign briefs to accelerate social media and ad content creation without full production pipelines.
  • Concept Storyboarding: Create animated storyboards from text descriptions to visualize scenes and motion for pre-production and client presentations.
  • Visual Asset Variant Creation: Produce multiple stylistic or compositional variants of an image for A/B testing, campaign variations, or iterative design.
  • Rapid Prototyping for Creatives: Quickly prototype visual concepts and motion ideas from prompts to explore creative directions before committing to full production.
  • Content Repurposing: Transform existing images into animated formats suitable for reels, ads, or dynamic website assets to increase content lifespan.
  • Image Repair and Enhancement: Use image-editing capabilities to retouch, adjust, or modify assets guided by textual instructions to meet project requirements.
  • Generating concept art and visual assets from text prompts for design and game development
  • Creating short promotional videos and social media content from prompts or images
  • Transforming and stylizing existing images for marketing and advertising
  • Rapid prototyping of visual ideas and storyboarding for video production
  • Image retouching and automated editing to accelerate creative workflows
View Wan 2.6 details