AI Tool Comparison
Comparing as AI Pair Programming & Terminal AgentsOpenAI Codex vs Factory
OpenAI Codex
VS
Factory
Verdict by Category
Detailed Comparison
Feature
OpenAI Codex
Factory
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.
FreemiumFactory offers five tiers. Pro is $20/month for individuals, including desktop, CLI, and SDK access, cloud and local background agents, and a billing/usage dashboard. Plus is $100/month with roughly 5x the usage of Pro plus Droid Computers, Factory-managed cloud computers for remote Droids. Max is $200/month with roughly 10x the usage of Pro and early access to new features. Business is custom-priced for growing teams up to 150 seats, adding custom usage limits, dedicated onboarding, SSO, SAML/SCIM provisioning, Zero Data Retention, audit logging, and basic admin controls. Enterprise is custom-priced with unlimited team members, dedicated compute with a partitioned inference pool, an Agent-readiness Improvement Program, on-premise deployment, sub-organizations, full admin controls, customer-managed encryption keys, data residency, and a dedicated account manager with SLA-backed support.
Categories
AI Coding Assistants
AI Coding Assistants
Summary
OpenAI's autonomous coding agent for pull requests, refactors, and reviews
Autonomous Droid agents that build, test, and ship software
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
Factory Pros & Cons
Pros
- Droids execute full tasks (editing files, running commands, opening PRs) rather than just suggesting code
- Genuinely model-agnostic and interface-agnostic, avoiding lock-in to one IDE or LLM provider
- #1 ranking on Terminal Bench, a widely used industry benchmark for coding agents
- Sovereign deployment options including on-premise and air-gapped environments for regulated industries
- Strong enterprise traction with named customers like Nvidia, Adobe, EY, and Morgan Stanley
Cons
- Best suited to teams with a real backlog of well-specified work and enough review capacity to absorb the resulting pull requests
- Not ideal for solo developers wanting lightweight autocomplete, or teams whose work is mostly ambiguous product design
- Business and Enterprise pricing is fully custom, requiring a sales conversation rather than transparent self-serve rates
- Heavy multi-agent or long-context usage can run up consumption costs quickly on usage-based components
- As a younger platform (founded 2023), its track record is shorter than more established coding agent competitors