AI Tool Comparison
Comparing as AI Pair Programming & Terminal AgentsSupermaven vs OpenAI Codex
Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

Supermaven
VS

OpenAI Codex
Verdict by Category
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Detailed Comparison
Feature
Supermaven
OpenAI Codex
Pricing
FreemiumSupermaven operated a Freemium model during its active life (Feb 2024 – Nov 2025). The Free tier provided fast inline code completions with a 300,000-token context window, compatible with VS Code, JetBrains IDEs, and Neovim — with no trial expiry.
Pro was priced at $10/month (or $99/year), unlocking the 1 million token context window, access to Supermaven's largest Babble model, coding style adaptation, and $5/month in Supermaven Chat credits with a 30-day free trial. Team plans were also $10/user/month and added centralized billing and user management for companies.
Supermaven was acquired by Cursor in November 2024. All paying subscribers were fully refunded in November 2025 when the standalone product was sunset. Free autocomplete inference was extended for existing Neovim and JetBrains users as a courtesy. The product is no longer available for new signups — Cursor is the recommended migration path.
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 AssistantsAI Productivity ToolsAI Developer APIs & Platforms
AI Coding Assistants
Summary
The fastest AI copilot with a 1 million token context window
OpenAI's autonomous coding agent for pull requests, refactors, and reviews
Supermaven Pros & Cons
Pros
- Fastest inline code completions of any tool at launch — sub-250ms latency beats Copilot by 3x
- 1 million token context window gives it codebase-wide awareness without slow retrieval
- Generous always-free tier with no expiry for solo developers
- Founded by Tabnine creator — deep domain expertise in efficient code completion models
- Lightweight extension model — no new IDE required, works inside existing editors
- Coding style learning personalizes suggestions over time
Cons
- Product sunset in November 2025 after Cursor acquisition — no longer available for new signups
- No agentic or multi-file editing capabilities (completions and chat only)
- Chat credits limited on Pro tier ($5/month) with overage charges
- Extension API limitations in VS Code/JetBrains constrained more advanced features
- 7-day code data retention limit on free tier raised some privacy concerns for teams
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