ContinuevsWindsurf (Codeium)
- ✦ Autocomplete
- ✦ Chat Interface
- ✦ Edit Mode
- ✦ Cascade AI agent
- ✦ Codebase awareness
- ✦ Multi-file editing
Real-World Scenarios: When to Choose Which
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Cascade AI agent identifies all touch points, applies changes in dependency order, and Terminal integration runs tests between edits. Review cycles drop from 2 weeks to 3 days.
One orchestrated sequence generates API endpoints, database migrations, integration tests, and API docs. Naming conventions and architecture patterns stay consistent across all.
Multi-file editing applies version and API compatibility changes across repositories in one operation. Codebase awareness prevents orphaned imports that cause post-deploy.
Supercomplete with deep context generates boilerplate following project standards. New engineers submit pull requests that pass senior review on first attempt.
Pricing Intelligence
Continue Plans
Free tier available
- • Open source
- • Bring your own model
- • VS Code & JetBrains
- • Hosted models
- • Team features
- • Priority support
Windsurf (Codeium) Plans
Free tier available
You get Unlimited inline edits, Unlimited Tab completions, Light agent quota. What's locked behind the paywall: increased quotas, openai, claude, gemini access, full model availability. If those matter, Pro at $20/mo is the next step. Good enough for solo use and evaluation.
$20/mo gets you Increased quotas, OpenAI, Claude, Gemini access, Full model availability, 2-week free trial. The sweet spot for professionals who've maxed out the free plan and need Increased quotas, OpenAI, Claude, Gemini access.
$40/user/mo gets you Everything in Pro, Team management, Centralized billing. Team of 5 = $200/mo, team of 10 = $400/mo. 100% more than Pro - justified only if you need the extras.
Custom pricing for SSO, Custom deployment. Always negotiate - ask for pilot pricing if testing with <50 seats, and push for annual discount commitments. Compare enterprise quotes against Cursor's equivalent tier.
Feature Matrix
17 differences found across 35 standardized features
Pros & Cons Face-Off
Evaluative strengths and weaknesses — not feature lists
- +Works with any LLM including local models
- +Both VS Code and JetBrains support
- +Highly customizable
- +Active open-source community
- −Setup requires more configuration than Copilot
- −Quality depends heavily on chosen model
- −Enterprise features still maturing
- +Free plan available
- +Growing user base (200K+)
- −AI output quality varies by use case
- −Some advanced features locked behind higher tiers