AI Tool Comparison
Comparing as AI Pair Programming & Terminal AgentsWindsurf (Devin Desktop) vs OpenAI Codex
Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.
Windsurf (Devin Desktop)
VS
OpenAI Codex
Verdict by Category
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Detailed Comparison
Feature
Windsurf (Devin Desktop)
OpenAI Codex
Pricing
FreemiumDevin Desktop, formerly Windsurf, offers a Free plan at $0/month with unlimited access to Cognition's SWE-1.6 coding model and limited Cascade/Devin Local flow actions. The Pro plan costs $20/month and is the most popular tier, unlocking higher usage limits and access to premium models like Claude and GPT. A Max plan is available at $200/month for heavier usage. Teams pricing is $80/month as a base fee plus $40/month per full seat. Enterprise pricing is custom and includes SOC 2 Type II certification, SSO integration, audit logging, centralized admin controls, and a self-hosted inference option for HIPAA, FedRAMP, or CMMC compliance needs. Existing Windsurf subscribers kept their original plan pricing unchanged after the June 2026 rebrand to Devin Desktop.
FreemiumCodex has no standalone subscription; access is bundled into ChatGPT plans. Free ($0/month) includes limited trial access via a lighter Codex model with restricted daily limits. Go costs $8/month for light, local use only (no cloud task delegation). Plus costs $20/month and includes Codex on the web, CLI, IDE extension, and iOS, covering typical daily use. Pro splits into two tiers since April 9, 2026: Pro 5x at $100/month and Pro 20x at $200/month, offering 5x and 20x higher usage than Plus respectively. Business costs $20/user/month billed annually ($25/month billed monthly), with standard seats including Codex within usual plan limits; OpenAI stopped offering new pay-as-you-go Codex-only Business seats as of June 24, 2026, though existing seats continue working. Enterprise, Edu, and Gov plans use custom pricing. Since April 2, 2026, usage across Plus, Pro, and Business shifted from per-message limits to token-based credits (roughly $0.04 each), metered on a rolling 5-hour window plus a weekly cap; Enterprise, Edu, Health, and Gov plans moved to the same system on April 23, 2026. API-key usage bypasses ChatGPT plan credits entirely and bills directly at standard OpenAI API token rates. Real-world usage for active developers commonly runs $100 to $200 per month depending on model choice, parallel agents, and fast-mode usage.
Categories
AI Coding Assistants
AI Coding Assistants
Summary
The AI-native code editor from Codeium, now Devin Desktop by Cognition AI
OpenAI's autonomous coding agent for pull requests, refactors, and reviews
Windsurf (Devin Desktop) Pros & Cons
Pros
- Free tier gives genuinely useful daily coding assistance without a credit card
- Agent Command Center lets developers manage local and cloud AI agents from one unified view
- Agent Client Protocol support means it works alongside Claude Code, Codex, and other third-party agents
- Devin Local is a faster, more token-efficient successor to Cascade, up to 30% more efficient
- Backed by Cognition AI's broader Devin platform, giving a clear path from local edits to full cloud delegation
Cons
- Cascade, the local agent that defined Windsurf's identity, is being fully retired and replaced by Devin Local as of July 1, 2026
- The rebrand and ownership change (Codeium to Cognition AI) has caused confusion for long-time users about what changed
- Model access is managed through Cognition's infrastructure rather than allowing bring-your-own-key configuration like some competitors
- Cloud-based processing sends code context to Cognition's servers, which may not meet CMMC, HIPAA, or FedRAMP requirements without the enterprise self-hosted option
- Heavier agentic use requires the Pro plan or above; the free tier is best suited for individual, lighter usage
OpenAI Codex Pros & Cons
Pros
- Bundled into existing ChatGPT plans, so many users already have some level of access at no extra cost
- Consistent agent experience across ChatGPT, IDE, CLI, and desktop, all tied to one account
- Parallel agents and built-in cloud sandboxes let teams tackle multiple engineering tasks simultaneously
- Skills system lets teams encode their own standards so Codex needs less supervision over time
- Backed by OpenAI's frontier coding models and adopted by engineering teams at companies like Duolingo, Ramp, and Cisco Meraki
Cons
- Token-based credit pricing (since April 2026) makes monthly costs harder to predict than flat per-seat pricing
- Heavy parallel or fast-mode usage can push real spend to $100 to $200 per developer per month even on mid-tier plans
- The Codex brand has been recycled and repositioned multiple times since 2021, which can create confusion about what current Codex actually is
- No standalone subscription; access is entirely tied to a ChatGPT plan rather than a dedicated developer product