AI Tool Comparison
Comparing as AI Pair Programming & Terminal AgentsDevin vs OpenAI Codex
Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.
Devin
VS
OpenAI Codex
Verdict by Category
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Detailed Comparison
Feature
Devin
OpenAI Codex
Pricing
FreemiumDevin's Free plan costs $0/month with a light quota to code with agents, limited model availability, and unlimited inline edits and Tab completions. Pro costs $20/month and adds increased quotas, access to OpenAI, Claude, and Gemini frontier models, free use of SWE 1.7 and leading open-source models, Devin Cloud access, and the ability to purchase extra usage at API pricing. Max costs $200/month with everything in Pro plus significantly higher usage quotas for power users. Teams costs $80/month as a base team fee plus $40/month per full developer seat, and includes unlimited team members via flex seats, sharing and collaboration, centralized billing, an admin dashboard with analytics, and priority support. Enterprise is custom-priced ("let's talk") and adds highest-priority support, dedicated account management, SAML/OIDC SSO, centralized enterprise admin controls, and dedicated VPC deployment options. Usage allowances refresh daily and weekly, and extra usage beyond included quotas is billed at API pricing.
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
Autonomous AI software engineer that plans, codes, and ships end-to-end
OpenAI's autonomous coding agent for pull requests, refactors, and reviews
Devin Pros & Cons
Pros
- Handles full engineering workflows end-to-end, not just inline suggestions
- Fleet-based parallel agents can tackle large-scale migrations across many repos
- Deep integrations with GitHub, Linear, Jira, Slack, and Teams for real dev workflows
- Free tier available to try core agent capabilities with no cost
- Documented enterprise results, including major efficiency and cost gains at Nubank
- VPC deployment and SSO support enterprise security requirements
Cons
- Early benchmark and demo claims were criticized as overstated, so results should be evaluated against a team's own workflows
- Best suited to well-scoped, reviewable tasks rather than fully unsupervised production work
- Usage-based cost can climb quickly for teams running many parallel sessions
- Full model availability and cloud agents require the $20/month Pro plan or higher
- Quality of output still requires human review, especially on complex or ambiguous tasks
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