AI Tool Comparison
Comparing as AI Pair Programming & Terminal AgentsCursor vs OpenAI Codex
Cursor
VS
OpenAI Codex
Verdict by Category
Detailed Comparison
Feature
Cursor
OpenAI Codex
Pricing
FreemiumCursor's Hobby plan is free with no credit card required, offering limited Agent requests, limited Tab completions, and access to Composer. Pro costs $20/month and includes extended Agent limits, generous Grok and Composer limits, access to frontier models, MCPs/skills/hooks, cloud agents, and a $20 monthly credit pool for premium model usage. Pro+ costs $60/month with roughly 3x Pro's usage limits and a larger credit pool (~$70). Ultra costs $200/month with about 20x Pro's limits, a ~$400 credit pool, and priority access to new features. Teams Standard costs $40/user/month and adds centralized billing, a team marketplace, Bugbot code reviews, shared cloud agents, usage analytics, team-wide privacy mode, and SAML/OIDC SSO; Teams Premium costs around $120/user/month with roughly 5x Standard's included usage. Enterprise is custom-priced and adds pooled usage, invoice/PO billing, SCIM seat management, repository/model/MCP access controls, audit logs, and an AI code tracking API. Annual billing saves approximately 20% across all paid plans, and all prices are exclusive of applicable taxes.
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
AI-native code editor with autonomous agents for building software
OpenAI's autonomous coding agent for pull requests, refactors, and reviews
Cursor Pros & Cons
Pros
- Deep AI-native integration rather than a bolted-on plugin experience
- Free Hobby tier available with no credit card required
- Wide model choice across OpenAI, Claude, Gemini, Grok, and in-house Composer models
- Autonomous cloud agents can work tasks end-to-end in parallel
- Privacy Mode guarantees code isn't used for model training when enabled
- SOC 2 certified with strong enterprise governance and access controls
Cons
- Credit-based billing means heavy agent or premium-model usage can exceed the base plan quickly
- Ultra tier is expensive at $200/month for power users
- As a VS Code fork, some proprietary VS Code extensions may not be fully compatible
- On-demand overage costs beyond included credits are billed in arrears and can surprise new users
- Enterprise pricing and invoice billing require contacting sales rather than transparent self-serve rates
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