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Laguna by Poolside vs Seedance 2.0: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Laguna by Poolside and Seedance 2.0 — 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
Seedance 2.0 logo

Seedance 2.0

ByteDance

Freemium

ByteDance Seedance 2.0 is a multimodal video-generation model for text→video and image→video with prompt controls and production templates.

Key features

  • Text-to-Video Generation: Converts descriptive text prompts into short video clips with configurable seed, duration, aspect ratio and stylization parameters for controllable outputs.
  • Image-to-Video Generation: Uses one or multiple images as input to produce animated video sequences that maintain visual consistency with input sources.
  • Structured Prompt Syntax: Supports advanced prompt constructs (including @ reference syntax and camera-language directives) to control framing, camera movement, and scene composition.
  • Production Templates and Cases: Provides ready-made templates and example prompts tailored for e-commerce ads, dramas, music videos, dance imitation, science education, and short-form marketing.
  • Fine-grained Control Parameters: Exposes generation parameters (seed, resolution presets, aspect ratio options, duration limits and other model knobs) for reproducibility and iteration.
  • Lip Sync and Motion Fidelity: Includes capabilities for aligning mouth movement and character motion to audio or lip-sync targets (documented in community guides and integrations).
  • Partner/API Integration: Designed to be accessible via platform partners and APIs (documented partner routes such as Jimeng, Dreamina and planned global API partners) enabling service integration and automation.
  • Prompt Authoring Tools and Agent Skills: Community tools and agent 'skills' (e.g., prompt-writing skillkits) exist to generate optimized prompts, templates, and camera/action specifications automatically.
  • Official API (global release scheduled 2026-02-24) for programmatic Text-to-Video and Image-to-Video generation
  • Multimodal inputs: natural language prompts + image references (support for @ reference syntax and camera language)
  • Prompt controls: seed, aspect ratio, duration, camera parameters, scene/cut templates and structure patterns
  • Lip-sync and audio-aware motion generation for videos with aligned speech/music
  • Physics-aware motion and scene consistency for realistic movement
  • Agent and automation support: documented integration patterns for Claude Code, Cursor, Cline and other agent frameworks; skills for automated prompt construction and storyboarding
  • Multiple access routes: Jimeng (China, requires +86 phone), Doubao (HK IP required), Cyberbara global partner route (post-API launch)
  • Third-party wrappers and community integrations: Cog wrappers, Gradio/HuggingFace Spaces demos, community API guides and scripts
  • Typical constraints and defaults documented: example resolutions (e.g., 480p), default durations (example: 5s), and API key/environment variable usage patterns
  • Availability notes: BytePlus access closed; Dreamina/CapCut global 2.0 not ready as of Feb 2026

Best for

  • E-commerce Video Ads: Rapidly generate short promotional videos using product images plus tailored ad-style prompt templates and camera-language to highlight product features.
  • Drama and Short-Film Previs: Create proof-of-concept scenes or storyboards for dramas using text prompts and image references to iterate camera blocking and mood quickly.
  • Dance Imitation and Music Videos: Produce stylized dance sequences and AI-generated MVs by combining choreography prompts, reference clips/images, and lip-sync parameters.
  • Educational Microvideos: Generate short science or educational clips with scripted narration and visual examples using structured prompt templates for clarity and pacing.
  • Social Short-Form Content: Produce vertical or square short-form videos optimized for platforms (aspect ratio and duration control) to speed content production workflows.
  • API-driven Automation: Integrate Seedance 2.0 into production pipelines or partner platforms (post-API rollout) to automate bulk video generation, A/B creative testing, or dynamic ad assembly.
  • Short-form content production: ads, music videos (MVs), and social clips
  • Drama and narrative scene generation for previsualization and production
  • E-commerce product showcase videos and dynamic ads
  • Dance imitation and choreography generation with motion fidelity
  • Science education and explainer videos using multimodal prompts
  • Automated storyboard and scene generation integrated with agents and MCP workflows
View Seedance 2.0 details