Claude Code vs Cursor vs OpenAI Codex vs Google Antigravity (2026): The Honest Comparison

Four tools dominate the AI coding conversation in May 2026: Anthropic's Claude Code, Anysphere's Cursor, OpenAI's Codex, and Google's Antigravity. They all promise the same thing on the surface, write code faster with AI, but they take very different approaches, charge very different prices, and fit very different workflows. This guide cuts through the marketing and gives you a verified, hands-on comparison so you can pick the one that fits how you actually work.

Quick Verdict: Which One Should You Pick

If you do not want to read the full comparison, here is the short answer based on how most developers are actually using these tools today:

• Claude Code if you live in the terminal, want strong agentic behavior on large codebases, and value automation through CI, GitHub Actions, and scheduled jobs. Best for senior engineers and platform teams.
• Cursor if you want a polished editor experience with tab completion, inline diffs, and the ability to switch between OpenAI, Claude, and Gemini models in one place. Best for day-to-day coding inside an IDE.
• OpenAI Codex if you already pay for ChatGPT Plus or Pro, want a cloud-based agent that can run tasks in the background, and like the idea of agents opening pull requests on their own. Best for delegating well-scoped tasks.
• Google Antigravity if you want to experiment with multi-agent workflows and Gemini 3 for free during the public preview. Read the safety section below before giving it filesystem access.

Many serious developers run two of these together. A common pattern is Cursor for in-editor work plus Claude Code for everything that happens outside the editor (CI, scripts, scheduled tasks, GitHub PR reviews).

What Each Tool Actually Is

These four products solve overlapping problems but they are architecturally different. Understanding what each one is at a structural level helps you predict which workflow it will fit.

Claude Code: The Terminal-First Agent

Claude Code is Anthropic's answer to the AI coding assistant question, and the answer is unusual: it lives in the terminal first, with everything else (VS Code, JetBrains, Desktop, Web, iOS, Chrome, Slack) treated as alternative surfaces on top of the same engine.

What it is good at

• Large codebase reasoning. It reads your whole project on demand, searches with grep and find, and edits across many files in one task.
• Automation. The claude -p flag turns it into a Unix tool you can pipe into. Devs use it to summarize logs, automate translations in CI, and review changed files for security issues.
• Project memory. A CLAUDE.md file in your repo gives it persistent instructions every session. It also builds auto memory as it works, learning your build commands and conventions.
• Skills, hooks, and sub-agents. You can define reusable workflows like/review-pr or /deploy-staging, run shell commands before or after every Claude action, and spawn multiple agents that work in parallel.
• MCP (Model Context Protocol). Anthropic's open standard lets Claude Code talk to Jira, Slack, Google Drive, GitHub, databases, or any custom tool you wire up.
• CI and chat integrations. Native GitHub Actions and GitLab CI/CD support for automated PR reviews, plus Slack mentions of @Claudeturn bug reports into pull requests.

Available models

Claude Code uses Anthropic models exclusively. As of May 2026 the lineup is:

• Claude Opus 4.7 (released April 16, 2026) for complex agentic work and deep reasoning.
• Claude Sonnet 4.6 (released February 17, 2026) as the default for most coding tasks. Strong balance of speed and quality.
• Claude Haiku 4.5 (released October 15, 2025) for fast, lightweight tasks.

Pricing (verified May 2026)

• Free: limited Claude Code access on web, iOS, Android, and desktop.
• Pro: $17/month annual, $20/month monthly. More usage than free.
• Max: from $100/month. Choose 5x or 20x more usage than Pro, plus higher output limits and early access to new features.
• Team Standard: $20/seat/month annual, $25/seat/month monthly.
• Team Premium: $100/seat/month annual, $125/seat/month monthly. 5x more usage than standard seats.
• Enterprise: $20/seat plus usage at API rates, with no model training on your content by default.

Anthropic publishes usage as relative multipliers (5x, 20x) rather than exact message counts. The actual ceiling depends on which model you pick (Opus burns the budget faster than Sonnet) and the size of your conversations.

Cursor: The IDE That Bet on AI First

Cursor began in 2023 as a fork of VS Code and is now arguably the most popular AI-native editor in the world. It is built by Anysphere, a San Francisco startup that has had one of the fastest funding trajectories in the industry: a $9.9B Series C in June 2025, a $29.3B Series D in November 2025 (raising $2.3B from investors including Accel, Google, Nvidia, and OpenAI), and in April 2026 The New York Times reported that xAI agreed to acquire Anysphere for roughly $60 billion.

With the release of Cursor 3, the team began transitioning away from the VS Code base. The latest stable release as of writing is Cursor 3.1 (April 2026), available on Windows, macOS, and Linux.

What it is good at

• In-editor flow. Tab completion, multi-line edits, and a chat sidebar that understands what file you have open. The IDE picks up your cursor position automatically and uses it as context.
• Model choice. You can switch between OpenAI, Anthropic, and Google frontier models inside the same UI. Useful when one model gets stuck on a tricky problem.
• Cloud Agents. Long-running tasks that work in the background while you continue coding.
• MCPs, skills, hooks. Cursor adopted the same extensibility patterns (with its own implementation) that Claude Code popularized.
• Bugbot. A separate $40 per user per month product that runs automated code review on every pull request.

Pricing (verified May 2026)

• Hobby: Free, limited Agent requests and Tab completions.
• Pro: $20/month. Extended Agent limits, frontier model access, MCPs, skills, hooks, and Cloud Agents.
• Pro+: $60/month. 3x usage on all OpenAI, Claude, and Gemini models.
• Ultra: $200/month. 20x usage on all models plus priority access to new features.
• Teams: $40/user/month. Shared chats, centralized billing, usage analytics, and SAML/OIDC SSO.
• Enterprise: Custom. Pooled usage, invoice billing, SCIM, priority support.

Like Anthropic, Cursor publishes usage as multipliers rather than exact request counts. A $200/month Cursor Ultra subscription was launched in June 2025 to serve power users who regularly hit the Pro ceiling.

OpenAI Codex: The Cloud Agent

OpenAI relaunched the Codex name in May 2025 as a coding agent, not just a model. The original Codex API from 2021 was deprecated years ago. The new Codex is a different product: it runs in isolated cloud environments with access to your repositories, can write code, fix bugs, run tests, and open pull requests for human review.

It started as a research preview powered by codex-1 (an o3-based model). A desktop application shipped in February 2026, and platform support has expanded steadily through early 2026. By April 2026, OpenAI publicly stated that Codex agents are running parts of OpenAI's own data platform autonomously.

Models powering Codex (verified)

• GPT-5.3-Codex: released February 5, 2026.
• GPT-5.3-Codex-Spark: released February 12, 2026. A faster variant running on Cerebras hardware, reported to be approximately 15 times faster than earlier Codex versions.
• GPT-5.4: released March 5, 2026.

What it is good at

• Background work. Hand it a task and walk away. Codex runs in a sandbox, works on a branch, and shows you the proposed change.
• Pull request workflows. Native PR creation and code review, including security vulnerability detection through Codex Security (launched March 2026).
• Linear and GitHub integration. The Codex agent landed in Linear in December 2025, letting you assign tickets directly to the agent.
• Multiple surfaces. ChatGPT web, Codex CLI, desktop apps for Windows and macOS, and a VS Code extension.
• AWS availability. OpenAI models, Codex, and managed agents are now available through AWS, useful for enterprises that want to keep the relationship inside their existing cloud contracts.

Pricing (verified May 2026)

Codex does not have its own subscription. It is bundled into existing ChatGPT plans: ChatGPT Plus, Pro, Business, Edu, and Enterprise. Higher tiers get more Codex usage capacity, but OpenAI has been less specific in public docs about exact per-tier limits than Anthropic or Cursor. Check your account settings inside ChatGPT for your current Codex quota.

Google Antigravity: The Agent-First IDE

Google launched Antigravity on November 18, 2025, alongside Gemini 3. It is positioned as an agent-first IDE rather than a traditional editor with AI tacked on. The user interface gives you two modes: an editor view that looks like a normal IDE with an agent sidebar, and a manager view designed for coordinating multiple agents working on parallel tasks at the same time.

Instead of just executing tool calls in the background, Antigravity agents produce Artifacts: visible deliverables like task lists and implementation plans. Google's pitch is that Artifacts let you trust the agent because you can see what it plans to do before it does it.

Models supported

• Gemini 3.1 Pro and Gemini 3 Flash: the primary models.
• Claude Sonnet 4.6 and Claude Opus 4.6: Anthropic models available inside Antigravity.
• GPT-OSS-120B: an open-source GPT variant.

Pricing (verified May 2026)

Antigravity is free during the public preview, with what Google describes as generous rate limits on Gemini model usage. It runs on Windows 10 or later, macOS 12 or later, and Linux. The latest preview release as of writing is version 1.23.2 (April 2026). There is no announced pricing for after the preview ends.

Pricing Side by Side

For solo developers comparing entry-level paid plans, the picture is straightforward:

On a strict dollars-per-month basis, Antigravity wins because it is free, but free tools carry their own cost in the form of risk and the chance that pricing changes (more on Antigravity's recent quota changes below). Among the paid tools, Claude Code Pro at $17/month annual is the cheapest entry point, followed by Cursor Pro at $20/month. OpenAI Codex has no separate price because it rides on your ChatGPT subscription.

Models, Context Windows, and Limits

The model lineup is what really differentiates these tools when you are working on hard problems. Here is the verified state as of May 2026:

On model breadth, Antigravity and Cursor lead by giving you access to all three frontier labs in one product. Claude Code is locked to Anthropic models, and Codex is locked to OpenAI models. For some teams that consistency is a feature (one provider, one bill, one relationship), and for others it is a constraint.

On exact context windows and token limits, vendors do not always publish per-product numbers and they change as new model versions ship. The practical shorthand most developers use is: all four tools handle multi-file edits in projects up to several thousand files. None of them will fit a 50,000 file monorepo into a single context window; instead they search and load files on demand as the agent needs them.

What Developers Are Actually Saying

Based on hands-on developer comparisons published in 2025 and 2026, plus discussion on Hacker News, the real-world picture is more nuanced than any vendor will tell you.

Claude Code vs Cursor: the most common debate

Bill Prin tested both tools on a complex Turborepo ESLint configuration problem he had struggled with for months. Both tools solved it on the first try, which he attributed to the fact that they often run on the same underlying Claude Sonnet model. His takeaway: use both. Claude Code handles everything outside the IDE, Cursor optimizes the in-editor experience.

Another developer comparison from a working software engineer described the split as 60% Claude Code, 40% Cursor. They use Claude Code when they want to delegate a large feature end-to-end and let the agent run, and Cursor when they want fine-grained control with visible diffs and inline suggestions.

The recurring criticisms are also instructive:

• Claude Code can over-deliver. When asked for small tweaks, the agent sometimes makes broader changes than requested. Devs with strict review processes prefer Cursor for small edits.
• Cursor requires more prompting. Cursor gives you precise control, but you have to direct it more actively. For large features, you end up writing more prompts.
• Both can produce confidently wrong code. Neither tool is a substitute for actually understanding what you are shipping. The verification step is on you.

OpenAI Codex sentiment

Public discussion of Codex tends to focus on the cloud-agent angle: it shines for well-scoped tasks you can describe in a sentence, and it integrates cleanly with Linear for ticket-driven workflows. Codex is also benefitting from being bundled into ChatGPT, so many devs use it without even thinking of it as a separate product.

The criticism that comes up most often is that Codex still feels best at well-scoped tasks, less so at sprawling refactors. This may improve as the GPT-5.4 generation matures.

Antigravity: The Warnings You Should Know

This section is the reason a lot of developers who have tried Antigravity have backed away from it for now. None of these are rumors, all are documented incidents with public sources. If you are evaluating Antigravity for serious work, you need to know about them.

None of this means Antigravity cannot be useful. It does mean you should not give it write access to anything you cannot afford to lose, you should not run it unattended on machines with credentials in env files, and you should not bet a production workflow on rate limits that are explicitly marked as preview.

Which One Should You Pick (By Workflow)

Different workflows reward different tools. Pick by the work you actually do, not by which tool the loudest voices on Twitter are recommending this week.

If you are a senior engineer or platform engineer

Pick Claude Code as your primary, with Cursor as a secondary for in-editor work. The terminal-first design, scriptability through the CLI, GitHub Actions integration, and Slack mention of @Claude for bug reports turn it into a force multiplier across your whole team. Pair the Pro plan ($17 to $20/month) with the Max plan if you regularly hit limits.

If you are a full-stack developer doing day-to-day product work

Pick Cursor Pro ($20/month). The IDE flow, tab completion, and ability to switch between Claude, OpenAI, and Gemini models inside the same project is the right fit for typical feature work. If you hit the Pro ceiling regularly, the $60/month Pro+ tier gives you 3x the usage.

If you already pay for ChatGPT Plus or Pro

Try OpenAI Codex first. You are already paying for it, the cloud-agent model is genuinely useful for delegating tasks that you can describe well, and the Linear integration makes ticket-driven development feel natural. If you find yourself wanting more control or a richer in-editor experience, add Cursor on top.

If you want to experiment safely with multi-agent workflows

Try Antigravity in a sandbox VM or inside a freshly checked-out repo with no secrets, no .env files, and no production credentials anywhere on the machine. The manager view for coordinating multiple agents is a genuinely interesting design. The safety incidents above are real, so treat it as research, not a production tool.

If you are on a tight budget

Use the free tiers of Claude Code and Cursor together. Both will get you meaningful work done. When you outgrow them, Claude Code Pro at $17/month annual is the cheapest serious upgrade path.

Final Thoughts and Honest Recommendation

There is no single best AI coding tool in May 2026. There are four good ones with different strengths.

If we had to pick one for a typical software engineer who wants the best balance of capability, ecosystem, and price, the answer would be Claude Code. The terminal-first design ages well, the model lineup (Opus 4.7, Sonnet 4.6, Haiku 4.5) is the strongest in the industry for coding tasks, and the automation surface (CI, GitHub Actions, Slack, scheduled routines, MCP) extends what one developer can ship.

If you spend most of your day inside an IDE and want a polished GUI experience with model choice, Cursor is the obvious second pick. Many developers run both.

OpenAI Codex is the right call if you are already on ChatGPT Plus or Pro, especially if you like the cloud-agent and PR-based workflow.

Google Antigravity is the most experimental of the four. The agent-first design is interesting, the price is right (free), but the safety incidents and quota changes mean you should not depend on it for serious work yet.

Whichever one you pick, the rule that has not changed in 2026: the AI does not absolve you of responsibility for the code you ship. Read the diffs, run the tests, and own the outcome.