Grok 4.1 vs Laguna by Poolside: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Grok 4.1 and Laguna by Poolside — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Grok 4.1
xAI
A conversational frontier model by xAI offering improved emotional intelligence, real-time search, image generation, and creative reasoning.
Key features
- Emotional Intelligence: Enhanced empathy and interpersonal skills for more emotionally aware and context-sensitive responses, validated by a high EQ-Bench score.
- Multi‑Platform Availability: Accessible on grok.com, X, and native iOS and Android apps, enabling consistent conversational experiences across devices.
- Auto Mode Deployment: Rolling out with an Auto mode that adapts model behavior for general use, simplifying user interaction without manual mode switching.
- Real‑Time Search Integration: Incorporates live search and trend analysis to provide up-to-date answers and context-aware summaries tied to current events.
- Image Generation: Built-in capability to generate images from prompts, enabling creative visual outputs alongside text-based conversation.
- Creative Task Improvement: Improved handling of creative tasks (writing, brainstorming, ideation) with stronger narrative and stylistic control.
- Real‑World Reasoning: Better commonsense and situational reasoning for practical, grounded answers in everyday and professional contexts.
- Advanced conversational intelligence optimized for natural, context-aware dialogue
- Improved emotional understanding and interpersonal skills (high EQ-Bench score: 1586)
- Real-time search integration for current information and trend analysis
- Image generation capabilities
- Available across web (grok.com), X, iOS, and Android
- Auto mode rollout for managed behavior/configuration
- Optimized for creative tasks and improved handling of creative prompts
Best for
- Content Creation: Generate creative copy, story drafts, social posts, and companion images with improved creative reasoning and stylistic control.
- Social Media Trend Analysis: Monitor and summarize real-time X trends and provide actionable insights for social teams and marketers.
- Customer & Community Engagement: Serve as an empathetic conversational assistant for user interactions on X and web/mobile apps, improving tone and rapport.
- Research and Fact Summarization: Use integrated real-time search to compile up-to-date summaries and syntheses of current events and topical information.
- Visual Asset Generation: Produce on-demand images for marketing, concept exploration, or illustrative content directly from conversational prompts.
- Interactive conversational assistant for general-purpose Q&A and dialogue
- Creative content generation including text and images
- Customer-facing chat and empathetic support interactions
- Real-time trend monitoring and analysis
- Personal coaching or interpersonal skill simulations leveraging emotional intelligence
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.