AI Tool Comparison
Comparing as AI Pair Programming & Terminal AgentsGoogle Antigravity vs OpenAI Codex
Google Antigravity
VS
OpenAI Codex
Verdict by Category
Detailed category analysis is not available for this comparison.
Detailed Comparison
Feature
Google Antigravity
OpenAI Codex
Pricing
FreemiumGoogle Antigravity is free during its preview period for any user with a Google account. A unified AI credit system applies: credits are drawn down at API-equivalent ratios across Gemini Flash and Pro models (e.g., if Flash is 8x cheaper than Pro, you can use 8x more Flash tokens for the same credit spend).
Google AI Pro at $20/month provides additional AI Premium credits suitable for regular development use. Google AI Ultra was reduced from $250/month to $100/month for a lighter high-frequency tier, with a separate $200/month tier for the highest capacity. Add-on credits can be purchased at any time via the CLI or IDE credits panel.
For GovCloud environments, a paid Gemini Code Assist Standard ($19/user/month) or Enterprise ($45/user/month) license is required — no free tier in GovCloud. Enterprise customers access Antigravity through the Gemini Enterprise Agent Platform under Google Cloud terms with centralized admin controls and compliance features.
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 & PlatformsAI No-Code / Automation Tools
AI Coding Assistants
Summary
Google's agentic AI IDE and CLI — Gemini 3, scheduled tasks, free during preview
OpenAI's autonomous coding agent for pull requests, refactors, and reviews
Google Antigravity Pros & Cons
Pros
- Built by Google with Gemini 3.1 Pro — the deepest integration with Google's most capable model and GCP ecosystem
- Free during preview with no credit card required — full feature access including agent manager and scheduled tasks
- Scheduled Tasks (cron) enable truly autonomous agents that work without any human trigger — unique among major IDE platforms
- Live voice transcription via Gemini Audio — describe complex tasks faster than typing
- IDE extensions (Aug 2026) let enterprise developers use Antigravity from VS Code and JetBrains without switching editors
- Full platform: IDE + CLI + SDK + Enterprise Agent Platform — the most complete Google developer toolchain ever shipped
Cons
- Proprietary closed-source — unlike Gemini CLI (Apache 2.0), Antigravity's source code is not publicly available
- Gemini-centric — while Claude and GPT-OSS are supported, Gemini models are prioritized; less model flexibility than Kiro or Cline
- Still in preview as of August 2026 — some enterprise and GovCloud features are new and less battle-tested than Cursor or Windsurf
- Credit-based pricing can be unpredictable for heavy users with complex agent tasks
- Requires Google account and GCP setup for enterprise access; additional procurement overhead for non-GCP organizations
- Free preview status subject to change — pricing structure may shift as product exits preview
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