Laguna by Poolside vs LALAL.AI: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Laguna by Poolside and LALAL.AI — 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.
LALAL.AI
OmniSale GmbH
Web-based stem splitter that quickly extracts vocals, instruments, and accompaniment from audio and video with high-quality results.
Key features
- High-Quality Neural Separation: Uses proprietary neural networks (Phoenix, Rocknet, Orion, Cassiopeia referenced) to produce clean isolated stems with emphasis on audio fidelity.
- Multi-Stem Extraction: Extracts multiple stems beyond vocal/instrument accompaniment — historically expanded to support drums, bass, acoustic guitar, electric guitar, piano and synthesizer and up to 8–10 stems in later updates.
- Fast Web-Based Processing: Upload audio or video files via the website or app and receive extracted tracks in a matter of seconds for quick turnaround.
- Audio & Video Support: Accepts both audio and video files, separating stems directly from video soundtrack without prior conversion steps.
- Business & API Integration: Provides business solutions and API/examples to allow site, service or app owners to integrate LALAL.AI stem-splitting into third-party platforms.
- Multiple Model Options: Offers access to different models/algorithms to prioritize speed or separation quality depending on user needs.
- Exportable High-Quality Stems: Produces downloadable stems suitable for remixing, sampling, production, and post-production workflows.
- High-quality neural-network-based stem separation (models referenced: Rocknet, Phoenix)
- Extracts vocals, accompaniment and specific instruments (drums, bass, acoustic guitar, electric guitar, piano, synthesizer)
- Supports multi-stem output (historically 8-stem; cited support up to 10 stems in listings)
- Accepts audio and video uploads and returns separated tracks
- Fast processing (results available in seconds on the site)
- Business solutions and API/examples available for integration into other sites/services
- Accessible via official website and mobile app
- Third-party tools and community scripts exist for automating downloads and merging segments
Best for
- Karaoke and Practice Tracks: Remove or isolate vocals to create karaoke versions or instrumental practice tracks for musicians and singers.
- Remixing and Production: Extract individual instrument stems (drums, bass, guitars, piano, synths) for remixing, re-arranging or creating stems-based productions.
- Post-Production for Video: Isolate or remove background music and vocals from video soundtracks for editing, dubbing, or sound design.
- Sampling and Sound Design: Isolate clean instrument or vocal samples for sampling, sound design, or reprocessing in a DAW.
- Music Education and Analysis: Separate parts to analyze arrangements, chordal structure, or individual performances for learning and transcription.
- Platform Integration: Embed stem-splitting via API in apps, services or websites to offer automated audio separation to end users or clients.
- Removing or isolating vocals for karaoke, remixing, or sampling
- Extracting individual instrument stems for mixing, mastering, and production
- Integrating stem-splitting into third-party websites, apps or services via business/API solutions
- Batch or automated workflows using community scripts (Python/Colab) to download and merge segments
- Audio-forensics or speech/music separation for research and post-production