Google Mixboard vs Laguna by Poolside: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Google Mixboard and Laguna by Poolside — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Google Mixboard
An experimental, AI-powered concept board for generating, exploring, and refining visual ideas and mood boards.
Key features
- Generative Mood Boards: Transforms natural-language prompts into visual concepts and mood boards, producing imagery, color suggestions, and layout ideas to kickstart design exploration.
- Idea Expansion: Automatically suggests variations and related concepts from initial inputs so users can broaden directions and discover unexpected design permutations.
- Iterative Refinement: Supports repeated prompting and modification to refine visuals and compositions, enabling a rapid feedback loop between intention and generated output.
- Visual Organization Canvas: Provides a flexible board-style workspace to arrange, compare, and juxtapose generated assets for clearer visual decision-making.
- Natural-Language Controls: Lets users guide generation and edits through conversational or prompt-based instructions, lowering the barrier for non-technical creators.
- Experimentation Focus: As a Google Labs experiment, Mixboard emphasizes rapid creative iteration and exploratory workflows rather than polished production tooling.
- Interactive concepting board interface for arranging and visualizing ideas
- Generative assistance to expand and iterate on concepts
- Tools to refine and structure ideas during ideation
- Visual organization for capturing variations and connections between concepts
Best for
- Brand Ideation: Quickly generate and iterate on visual directions—color palettes, imagery, and tone—for early-stage brand or campaign concepts.
- Mood-Board Creation: Assemble dynamic mood boards from text prompts to communicate aesthetic directions to teams or clients during pitches and reviews.
- Creative Brainstorming: Use AI-suggested variations to expand limited concepts into multiple distinct visual directions during team ideation sessions.
- Social Content Planning: Prototype visual themes and layouts for social media posts and short-form visual campaigns to test styles before production.
- Storyboarding and Concept Art: Produce rapid visual thumbnails and concept sketches to map out scenes, moods, and visual continuity during pre-production.
- Creative brainstorming and ideation sessions
- Product concept development and iteration
- Design and UX concept exploration
- Marketing concepting and campaign planning
- Collaborative team workshops for idea refinement
Laguna by Poolside
Poolside
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.