Coding · Head-to-head

Windsurf vs Laguna XS.2

Windsurf vs Laguna XS.2: pricing, features, and which to pick in 2026.

The verdict

Pick Windsurf if…
  • →overall capability matters more than price (AI Score 9.1 vs 8.5)
  • →your primary use case is developers who want an ai ide that autonomously plans, codes, tests, and iterates across a project with minimal input.
Try Windsurf →
Pick Laguna XS.2 if…
  • →budget is the constraint
  • →your primary use case is developers and teams who want a self-hosted, open-weight coding model for agentic workflows without ongoing per-token api costs.
Try Laguna XS.2 →

Side-by-side specs

Spec Windsurf Laguna XS.2
Category Coding Coding
Pricing model freemium free
Headline pricing Free $0 + Pro $20/mo + Max $200/mo + Teams $80/mo + $40/full-dev seat + Enterprise custom Free (Apache 2.0)
Free tier Light quota to code with agents, limited model availability, unlimited inline edits, and unlimited Tab completions Fully open-weight under Apache 2.0. Free API access available during limited preview period.
AI Score 9.1/10 8.5/10
Best for Developers who want an AI IDE that autonomously plans, codes, tests, and iterates across a project with minimal input. Developers and teams who want a self-hosted, open-weight coding model for agentic workflows without ongoing per-token API costs.
Editor's pick — —
Use cases development agents development agents
Date added 2025-06-01 2026-05-02

Pros and cons

Windsurf logo

Windsurf

Coding · freemium

Pros

  • ✓Autonomous agent capabilities that plan, implement, and iterate
  • ✓Generous free tier with unlimited completions
  • ✓Excellent multi-step task execution
  • ✓Fast and responsive editor

Cons

  • ×Newer tool with smaller community
  • ×Agent mode can sometimes go off-track
  • ×Less mature extension ecosystem than VS Code
  • ×Heavy resource usage during agent tasks
Laguna XS.2 logo

Laguna XS.2

Coding · free

Pros

  • ✓68.2% SWE-bench Verified — matches models 10x its active parameter count
  • ✓Runs locally on a single consumer GPU or 36GB Mac — no cloud required
  • ✓Apache 2.0 with no restrictions — fine-tune and deploy commercially
  • ✓MoE architecture keeps inference fast and memory-efficient

Cons

  • ×Narrowly focused on code — weak on general knowledge and non-programming tasks
  • ×Brand new release with limited community tooling and integrations so far
  • ×Free API access is explicitly temporary — long-term hosted pricing unclear
  • ×Requires 36GB RAM minimum — won't run on budget laptops or smaller GPUs
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Updated 2026-09-17. Spec data sourced from official product pages and tracked in our public directory at /tools.

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