Laguna by Poolside vs Midjourney: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Laguna by Poolside and Midjourney — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
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.
Midjourney
Midjourney
Text-to-image service that generates artistic images from textual prompts via Discord and a web interface.
Key features
- Discord Bot Interface: Native interaction via a Discord bot (commands like /imagine) that accepts text prompts and returns generated images directly in chat, enabling rapid iteration and community sharing.
- Model Versions & Seed Control: Multiple model versions are available to change stylistic output and users can specify starting seeds to produce more consistent or reproducible image results across runs.
- Prompt Parsing & Guidance: The system tokenizes and interprets prompt words; official community guidance details prompt structure, synonym selection, and brevity techniques to exert finer control over image composition and style.
- Web Interface: An online web UI complements Discord usage for browsing generated images, managing creations, and configuring account settings outside the chat environment.
- Variation and Upscaling Controls: Users can request variations of generated images and upscale selected results to higher resolution outputs for final use (workflow exposed through Discord commands and UI controls).
- Ecosystem Integrations: Third-party SDKs, unofficial APIs, and community-built bots (e.g., voter bots, Python SDKs) enable automation, competition management, image capture to databases like Airtable, and embedding Midjourney into custom workflows.
- Generates images from textual prompts (/imagine style commands)
- Primary access via Discord bot and a web interface
- Multiple model versions selectable by users
- Supports specifying seeds for consistent outputs
- Community tooling and bots (voter bots, galleries, competition tooling)
- Unofficial SDKs and wrappers (Python, Node.js) to automate generation and download
- SDK capabilities include downloading and converting generated images
- Requires active subscription for programmatic usage via unofficial SDKs
Best for
- Concept Art and Visual Development: Rapidly explore visual directions for characters, environments, and product concepts by iterating prompts and model versions to generate creative concept boards.
- Marketing and Creative Assets: Produce stylized imagery for social media posts, ad mockups, and marketing collateral where unique aesthetic visuals are required quickly.
- Character and Costume Design: Create multiple variations of character looks and outfits by prompting different styles, lighting, and cultural cues, then refine via variation/upscale steps.
- Prototyping Visual Styles: Test and compare distinct art directions or branding visuals by switching model versions and prompt strategies to inform human-led design decisions.
- Community Competitions and Curation: Run art competitions and voting workflows in Discord (using Midjourney output capture and voter bots) to engage communities and curate winning designs.
- Educational & Creative Prompting Practice: Teach prompt engineering and visual composition by experimenting with token choices, synonyms, and prompt structure to see cause-and-effect on generated outputs.
- Concept art and illustration generation from text prompts
- Rapid prototyping of visual ideas and moodboards
- Avatar and character design
- Community art competitions and voting systems (Discord)
- Educational and demo projects showcasing generative imagery