Dia-1.6B vs Laguna by Poolside: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Dia-1.6B and Laguna by Poolside — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Dia-1.6B
nari-labs
A text-to-speech model that generates ultra-realistic multi-speaker dialogue in a single forward pass.
Key features
- One-Pass Dialogue Synthesis: Generates multi-turn or multi-speaker conversational audio in a single forward pass, reducing inference latency compared to multi-stage dialogue pipelines.
- Ultra-Realistic Output: Focuses on natural prosody, timing, and expressive characteristics to produce highly realistic spoken dialogue suitable for immersive applications.
- Multi-Speaker Handling: Designed to model distinct speaker voices and interactions within a single synthesis run, enabling coherent exchanges between characters or agents.
- GitHub-Hosted Repository: Distributed openly on GitHub to allow researchers and developers to inspect the model, reproduce results, and integrate the code into custom workflows.
- Integration-Friendly Design: Built to be incorporated into downstream systems such as conversational agents, game engines, and media pipelines that require synthesized dialogue.
- Generates ultra-realistic spoken dialogue in a single pass
- Openly hosted code repository on GitHub
- Designed for dialogue-focused TTS applications
Best for
- Conversational Agents: Producing natural, multi-turn spoken responses for virtual assistants and chatbots where rapid, coherent dialogue synthesis is required.
- Media and Entertainment: Generating character dialogue for games, animations, and audio dramas with distinct speaker voices and expressive timing.
- Audiobook and Drama Production: Synthesizing multi-character readings or dramatized narration without stitching separate single-speaker clips.
- Speech Research and Benchmarking: Providing an open-source model for researchers to study dialogue synthesis, prosody modeling, and multi-speaker interactions.
- Localization and Dubbing Prototyping: Quickly producing prototype dubbed dialogue tracks for evaluation before full production recording.
- Conversational agents and chatbots requiring natural dialogue
- Game character voice synthesis
- Dubbing and voiceover for multimedia
- Audiobook narration with conversational style
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.