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Laguna by Poolside vs LongCat Video Avatar: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Laguna by Poolside and LongCat Video Avatar — 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
LongCat Video Avatar logo

LongCat Video Avatar

LongCat Avatar

Freemium

Generates ultra-realistic, audio-driven, lip-synced long avatar videos with stable identity, natural motion, multi-person support, and video continuation.

Key features

  • Audio-Driven Generation: Converts input audio tracks into synchronized avatar video, allowing voice-driven creation of full-length speaking performances.
  • Ultra-Realistic Lip-Sync: Produces precise mouth and jaw movements aligned to phonetic timing for natural, believable speech animation.
  • Stable Identity Preservation: Maintains consistent facial features, skin tone, and appearance across long videos and extended continuations to prevent drift.
  • Natural Motion and Expression: Generates head movements, eye motion, gestures, and micro-expressions to enhance realism and reduce synthetic stiffness.
  • Multi-Person Support: Creates scenes containing multiple distinct avatars, each with independent identity preservation and accurate lip-sync to separate audio sources.
  • Video Continuation & Extension: Seamlessly continues or lengthens existing footage while preserving motion patterns and identity, enabling long-form video production.
  • Audio-driven avatar video synthesis (generates video from audio input)
  • High-quality lip synchronization between audio and mouth movements
  • Stable identity preservation across long video durations
  • Natural, realistic motion and expression generation
  • Multi-person avatar generation and support
  • Video continuation/extension capabilities for longer outputs

Best for

  • Long-Form Content Creation: Convert lectures, webinars, and podcasts into continuous, lip-synced avatar videos for on-demand viewing.
  • Virtual Presenters and E-Learning: Produce consistent presenter avatars for training courses, corporate communications, and educational modules.
  • Dubbing and Localization: Replace or translate audio tracks and regenerate lip-synced avatar video for different languages and regions.
  • Multi-Character Storytelling: Create multi-person scenes for short films, animations, or social media content with distinct, synchronized avatars.
  • Customer-Facing Virtual Agents: Generate standardized agent videos for support, onboarding, and FAQ walkthroughs with stable identity over time.
  • Social Media and Brand Avatars: Produce regular branded video content using consistent influencer-style avatars to maintain recognizability.
  • Creating long-form avatar-led content from recorded audio (podcasts, narrations)
  • Virtual presenters and spokesperson videos with stable identity
  • Multi-person virtual interviews or panel simulations
  • Dubbing or revoicing video content with synchronized avatar visuals
  • Content continuation or extension where existing avatar videos are extended seamlessly
View LongCat Video Avatar details