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Laguna by Poolside vs Leonardo AI: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Laguna by Poolside and Leonardo AI — 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
Leonardo AI logo

Leonardo AI

Leonardo-Interactive

Paid

Web-based image and video generation platform for creating and editing visuals from text prompts, with SDKs and plugins for integration.

Key features

  • Text-to-Image Generation: Produces high-quality images from concise textual prompts with selectable artistic styles and presets to control aesthetics and output type.
  • Background Removal: One-click or automated subject isolation tools (including a background-removal-js project) to quickly extract subjects and speed up compositing workflows.
  • SDKs and REST API: Official TypeScript and Python SDKs plus OpenAPI/REST endpoints enable programmatic image generation, management, and integration into external applications and pipelines.
  • Editor Plugins: Native integrations and community plugins (e.g., Blender texturing plugin, Krita plugin) allow artists to generate and apply assets directly inside popular creative tools.
  • Asset Management and Editing: In-browser/image workspace features for editing, upscaling, and iterating on generated images to refine outputs without external software.
  • Video Generation: Capabilities to create dynamic visuals and short immersive video content from prompts and style selections for motion assets and concept reels.
  • Prompt-driven image generation across multiple artistic styles
  • Video generation capabilities (prompt to immersive video)
  • Image manipulation tools including one-click background removal
  • Official REST API with OpenAPI specification for programmatic access
  • Official SDKs: TypeScript (leonardo-ts-sdk) and Python (leonardo-python-sdk)
  • Support for synchronous and asynchronous SDK usage (HTTPX / requests / aiohttp variants)
  • Official plugins and integrations (e.g., Blender texturing plugin, browser background-removal JS)
  • Community-driven integrations and SDKs (Krita plugin, Ruby gem, Go/C# clients and CLIs)

Best for

  • Concept Art & Illustration: Rapidly produce multiple styled concept images from prompts to iterate on character, environment, and product ideas during pre-production.
  • Game and 3D Texturing: Generate textures and material references via the Blender texturing plugin to accelerate asset creation and integrate directly into 3D workflows.
  • E-commerce Imagery: Create product visuals and perform one-click background removal for clean product shots and quick catalog preparation.
  • Integrated App Generation: Embed image-generation features into apps or services using the TypeScript or Python SDKs and REST/OpenAPI endpoints for automated content creation.
  • Digital Painting Workflow: Use the Krita plugin to generate reference images or elements inside a painting application, streamlining artist workflows and compositing.
  • Marketing and Creative Production: Produce styled visuals and short videos for social posts, ads, or campaign mockups to cut production time and costs.
  • Concept art and illustration generation from text prompts
  • Automated product or marketing image creation and background removal
  • Texture generation and workflow integration for 3D artists (Blender plugin)
  • Batch or programmatic generation using SDKs and REST API in pipelines
  • Rapid prototyping of visuals for games, ads, and social media
  • Integrating Leonardo image tools into creative apps (Krita, custom tooling)
View Leonardo AI details