Key Takeaway
Google Antigravity 2.0 is an agent-first desktop app — ideal for task orchestration and non-coders. OpenAI Codex is a powerful CLI and IDE extension backed by GPT-5 — best for developers who live in the terminal. Cursor is the multi-model hybrid — supporting every major LLM and combining tab completion with agentic workflows. Your choice depends on how you code, not which tool is objectively best.
The AI Code Assistant Landscape in 2026
The AI code assistant space has evolved dramatically. What started as autocomplete plugins has become a three-way race between fundamentally different visions of how AI should help you write software.
Google Antigravity 2.0 (released 20 May 2026) is a standalone desktop application that replaces the earlier Antigravity IDE. It takes an agent-first approach — there is no built-in code editor. Instead, you instruct agents using natural language and they generate code, plan architecture, and manage tasks across your projects. Google recommends using it alongside your existing IDE.
OpenAI Codex takes a different path. Its CLI (first launched April 2025, now at v0.133) runs directly in your terminal, and there is a VS Code extension and a ChatGPT web interface. Codex is powered by the GPT-5 family and can execute code, run tests, and even create pull requests.
Cursor AI (v3.5, released 20 May 2026) is the hybrid option. It offers a desktop app, a CLI that works across VS Code, JetBrains, and Android Studio, and supports virtually every major AI model on the market. Its Tab model provides fast autocompletion while its Agent mode handles larger, multi-file tasks.
Pricing Compared
All three tools follow a tiered pricing model, but the details differ significantly. Here is how they compare at each level.
| Tier | Antigravity | Codex (via ChatGPT) | Cursor |
|---|---|---|---|
| Free | Yes — basic agents, limited usage | No — requires paid ChatGPT plan | Yes — Hobby tier with limited agents and completions |
| Individual | Pro: US$20/mo | ChatGPT Plus: ~US$20/mo | Individual: US$20/mo |
| Higher Usage | Ultra: US$100 & US$200/mo | Teams/Enterprise (custom pricing) | Teams: US$40/user/mo |
| Enterprise | Via Google Cloud / Gemini Enterprise | Enterprise plan (custom) | Enterprise: custom, with SAML, audit logs, invoicing |
At the individual level, all three converge around US$20/month. The key differences emerge at the extremes: Codex has no free tier, while Antigravity’s Ultra plans (US$100–$200/month) offer significantly more compute than competitors at that price point. Cursor’s Teams plan at US$40/user/month includes shared context and team-wide rules, making it the most collaboration-oriented option.
Supported Models
The models powering each tool — and how much flexibility you have in choosing them — is one of the biggest differentiators.
Google Antigravity
Primarily powered by Google Gemini (Flash and Pro variants for coding). Antigravity 2.0 also supports Claude 4.5 Sonnet for refactoring tasks and OpenAI GPT models. Users can switch models per task — Gemini Pro for planning, Flash for quick edits. Gemini Flash achieves roughly 372 tokens per second, making it one of the fastest options available.
OpenAI Codex
Locked into the GPT-5 family. OpenAI recommends GPT-5.5 for most code tasks, but also offers a specialised gpt-5.3-codex model. The standalone Codex CLI supports GPT-4.1 and newer models (including GPT-o3 and o4-mini). All models run via OpenAI’s cloud APIs — there is no option to bring your own model.
Cursor
The most model-flexible option. Cursor supports GPT-5.5, Claude 4, Gemini 3.5 Pro, Grok 4.3, and its own Composer 2.5 models. Its architecture lets you route different tasks to different models based on cost and capability. For example, you might use Composer for fast completions and Claude for complex refactoring. This flexibility is a major advantage for teams that want to optimise cost without sacrificing quality on critical tasks.
Feature Comparison
IDE and Editor Integration
This is where the philosophical differences are sharpest. Antigravity 2.0 is a standalone app with no code editor — it is an agent interface designed to run alongside your IDE. Codex offers the broadest integration: a terminal CLI, a VS Code extension, and a web UI through ChatGPT. Cursor provides a desktop app, a CLI that works across multiple IDEs, and editor plugins.
If you want a tool that slots directly into your existing editor, Codex or Cursor are better choices. If you prefer a dedicated command centre for managing AI agents across multiple projects, Antigravity is the more natural fit.
Natural Language to Code
All three excel here. Cursor’s Tab model offers context-aware autocompletion that predicts your next keystrokes, while its Agent mode generates or modifies code via prompts. Codex (powered by GPT-5.5) is explicitly trained for code tasks. Antigravity accepts natural-language instructions through slash commands like /goal and generates code artifacts. For practical vibe coding workflows, all three are strong — the difference is in how they deliver the results.
Multi-File Project Support
Antigravity uses a “Project” concept where a single agent can access multiple folders and repositories, enabling cross-file reasoning. Codex CLI operates from a Git repository and can work across multiple files, with the web interface capable of creating pull requests. Cursor’s agent navigates entire codebases using semantic indexing, and v3.5 adds multi-repo automation workflows — a significant upgrade for teams working across microservices.
Debugging and Code Execution
Here the gap widens. Antigravity 2.0 does not include a debugger or execution environment — it focuses on agent orchestration and leaves debugging to your IDE. Codex CLI can execute code and run shell commands directly, including a full-auto sandbox mode with network disabled for safe execution. Cursor CLI also supports testing, debugging, and code execution from the command line, with the ability to roll back or resume hanging tasks.
For developers who need their AI assistant to run and test code, Codex and Cursor are substantially ahead of Antigravity in this area.
Agentic Capabilities
All three now support agentic workflows, but the implementations differ. Antigravity is built entirely around agents — you can schedule tasks, chain subagents, and run asynchronous builds through its CLI agent harness. This is the most agent-native of the three. Cursor’s agent automations (enhanced in v3.5) support multi-repo workflows and can be triggered from the CLI. Codex’s full-auto mode lets it independently execute code and handle errors, but it is more a single-agent executor than a multi-agent orchestrator. For a deeper look at how AI agents work in practice, see our glossary entry.
Feature Matrix
| Feature | Antigravity 2.0 | OpenAI Codex | Cursor |
|---|---|---|---|
| IDE Integration | Standalone app (alongside IDE) | VS Code extension, CLI, ChatGPT web | Desktop app, CLI (cross-IDE), plugins |
| NL → Code | Yes (agent-generated artifacts) | Yes (GPT-based generation) | Yes (Tab completions + agent) |
| Multi-File Projects | Yes (multi-repo projects) | Yes (Git repo, PRs) | Yes (semantic indexing, multi-repo) |
| Debugging | No built-in debugger | Yes (CLI sandbox execution) | Yes (CLI debug mode, testing) |
| Code Execution | Limited (agent tasks only) | Yes (shell commands, tests) | Yes (execute, test, rollback) |
| Multi-Model Support | Gemini, Claude, GPT | GPT family only | GPT, Claude, Gemini, Grok, Composer |
| Privacy Mode | Google Cloud model | Enterprise opt-out | Yes (SOC-2 certified, explicit mode) |
| Free Tier | Yes | No | Yes |
| SDK / Extensibility | Go CLI, SDK (announced) | Rust CLI (open-source), OpenAI API | TypeScript SDK (beta), plugin marketplace |
Security, Privacy and Enterprise
For teams evaluating these tools, security and data handling matter as much as features.
Cursor offers the most explicit privacy controls. Its dedicated privacy mode guarantees that code is never stored by model providers or used for training. The platform is SOC-2 certified, and the Enterprise tier includes SCIM provisioning, detailed audit logs, and admin dashboards.
OpenAI Codex follows ChatGPT’s data privacy policies. Enterprise customers can opt out of data sharing, but the specifics are less transparent than Cursor’s approach. Enterprise plans include admin consoles, audit logs, and compliance standards.
Google Antigravity inherits Google Cloud’s security model, including IAM integration, SCIM, and the Gemini Enterprise Agent Platform for organisational control. However, specific code data-retention policies have not been published in detail.
Limitations and Risks
All AI code assistants can hallucinate — generating incorrect, buggy, or insecure code. This is not a theoretical risk. Cursor’s own AI support bot once fabricated a non-existent policy about multi-login restrictions, demonstrating that even the vendor’s own tools can mislead users.
Each tool has guardrails: Codex offers approval modes before executing code, Cursor has a debug mode for reviewing changes, and Antigravity’s agent interface surfaces generated artifacts for review. None of these eliminate all errors. Human oversight remains essential, particularly for production code, security-sensitive logic, and infrastructure changes.
Antigravity 2.0 is the newest of the three (launched May 2026), so it has had the least time for community battle-testing. Early adopters should expect some rough edges.
Which Tool Should You Use?
For Developers
If you live in the terminal and want a fast, no-nonsense code assistant, Codex CLI is the most natural fit. If you want maximum model flexibility and a tool that integrates across multiple IDEs, Cursor is the stronger choice. If you are building complex, multi-agent workflows and want AI to orchestrate entire projects, Antigravity 2.0 is worth exploring — but keep your IDE open for actual editing and debugging. Our Vibe Coding course covers practical workflows with all three tools.
For Non-Coders
Antigravity 2.0 is the most accessible option. Its agent-first interface lets you describe tasks in plain language without needing to understand an IDE. Codex via the ChatGPT web interface is another viable option for prompting simple code generation. Cursor is primarily developer-centric and not the best starting point for non-technical users. If you are new to working with AI, our AI Fundamentals course is a better starting point before diving into code assistants.
For Educators
All three have pedagogical value. Antigravity is excellent for demonstrating agent-based AI and how task orchestration works. Codex is ideal for teaching prompt engineering through its conversational interface. Cursor works well for showing the difference between tab-completion and agent mode in a real IDE context. Our AI Agents course uses examples from all three platforms.
Bottom Line
Antigravity if you want agent orchestration and do not need a built-in editor. Codex if you want a battle-tested CLI backed by GPT-5 with code execution built in. Cursor if you want multi-model flexibility, strong privacy controls, and a tool that works across every major IDE. Most serious developers will end up trying at least two of these — they complement each other more than they compete.
Frequently Asked Questions
Which AI code assistant is best for beginners in 2026?
Google Antigravity 2.0 is the most beginner-friendly option. Its agent-first interface lets you describe tasks in plain language without needing to understand an IDE. OpenAI Codex via the ChatGPT web interface is another accessible option. Cursor is powerful but primarily designed for experienced developers.
Can I use Google Antigravity, Codex and Cursor for free?
Antigravity and Cursor both offer free tiers with limited usage. OpenAI Codex requires a paid ChatGPT subscription (Plus at US$20/month or higher). All three tools offer substantially more capacity on their paid plans.
Which tool supports the most AI models?
Cursor supports the widest range — GPT-5.5, Claude 4, Gemini 3.5 Pro, Grok, and its own Composer models. Antigravity 2.0 primarily uses Gemini but also supports Claude and GPT. Codex is limited to OpenAI’s own GPT family.
Do these AI code assistants work with my existing IDE?
Codex has a VS Code extension and a standalone CLI that works alongside any editor. Cursor offers a desktop app, a CLI that works across VS Code, JetBrains and Android Studio, and editor plugins. Antigravity 2.0 is a standalone app designed to run alongside your IDE rather than inside it.
How do Antigravity, Codex and Cursor handle code privacy?
Cursor offers the most explicit privacy controls — a dedicated privacy mode guarantees your code is never stored or used for training by model providers, and the platform is SOC-2 certified. OpenAI offers opt-out options for enterprise customers. Google Antigravity follows Google Cloud’s security model but has not published detailed code-retention policies.
Which AI code assistant is best for agentic workflows?
All three now support agentic workflows, but they approach it differently. Antigravity 2.0 is built entirely around agents — its interface is agent-first with no built-in code editor. Cursor supports agent automations and multi-repo workflows (new in v3.5). Codex CLI supports a full-auto sandbox mode where it can execute code and run tests independently.
