Best AI coding assistants in 2026: Claude Code, Codex, GitHub Copilot, Cursor and more

AI coding assistants have moved on from autocomplete. The leading tools in 2026 read your whole repository, plan a change, edit several files, run your tests and open a pull request, while you review the result. This guide compares seven of them — Claude Code, OpenAI’s Codex, GitHub Copilot, Cursor, Google Antigravity, Grok Build and Meta’s Muse Code — with the plans, prices and trade-offs that decide which one fits how you work.

The best AI coding assistants at a glance

Claude Code

Claude Code is Anthropic’s coding agent. It plans work, asks clarifying questions, handles multi-hour tasks, runs tests and can open pull requests. According to Anthropic it runs in the terminal, in VS Code (including Cursor) and JetBrains IDEs, in a desktop app for macOS, Linux and Windows, on the web and on iOS and Android, and it integrates with GitHub Actions and Slack.

• Access: included with Claude Pro, Max, Team and Enterprise plans, or through the Claude Console with standard token pricing.
• Strengths: parallel sessions, project instructions in CLAUDE.md files, and tools that work with Git, GitHub and GitLab.
• Watch for: there is no free tier, and heavy agent use draws on your plan’s allowance.

Its newest model is Claude Sonnet 5.5, a faster, cheaper option announced on September 28, which Claude Code lists as a supported model. For a step-by-step setup, read How to use Claude Code. Anthropic applies the same approach to everyday work in Claude Cowork. For the models behind it, see Claude models explained; for plans, see Claude Pro vs Max, the Claude profile and ChatGPT vs Claude.

Codex

Codex is OpenAI’s coding agent, included with ChatGPT plans. Per OpenAI’s pricing page, Codex works on the web, in the CLI, in the IDE extension and on iOS, with a desktop app for local work, and Plus adds cloud-based integrations such as automatic code review and Slack.

Codex can use OpenAI’s newest models, including GPT-6 Astra and, since September 22, 2026, GPT-6 Sol and GPT-6 Luna, with GPT-6.1 Sol added on September 29. Since then Codex can also run in the cloud; see Codex Cloud explained. The Free plan costs $0, Go is $8, Plus is $20, and Pro starts at $100. On Plus, OpenAI’s estimates for local messages per five-hour period are:

OpenAI says these are not fixed limits, and cloud chats use GPT-5.6 Sol and may use more of your allowance. Pro 5x and Pro 20x multiply the estimates. Our guide to ChatGPT models explains the Astra, Sol, Terra and Luna tiers, our report on GPT-6 Sol and Luna covers the new models, ChatGPT Go vs Plus and ChatGPT Pro explained cover which plan gives you what. Codex sits alongside ChatGPT Work in the ChatGPT desktop app.

GitHub Copilot

GitHub Copilot works inside the editors developers already use. GitHub’s pricing page lists VS Code, Visual Studio, Xcode, JetBrains IDEs, Neovim, Eclipse, Zed and more, plus GitHub itself and a command-line tool. Agent mode works in VS Code, Visual Studio, JetBrains, Eclipse and Xcode.

GitHub Copilot is not the same product as Microsoft Copilot. If you are choosing between Microsoft’s general assistant and ChatGPT, read Copilot vs ChatGPT.

Cursor

Cursor is an editor built around AI, so switching means changing your editor rather than adding a plugin. Cursor’s pricing page lists a free Hobby plan with limited agent requests, Pro at $20 a month with extended agent limits, frontier models, cloud agents and support for MCP servers, skills and hooks, Pro+ at $60, Ultra at $200 and Teams at $40 a user. Cursor recommends Pro+ for daily agent users and Ultra for power users.

Every plan includes a set amount of model usage, and on-demand usage continues after it, billed afterwards. Cursor says that with Privacy mode on, it guarantees code data is not used for training by Cursor or its model providers. Cursor sells subscriptions only through its own website.

Google Antigravity

Antigravity is Google’s agent-first development tool. Google says it is generally available and offers a free Individual plan at $0 a month, with access to Gemini 3.8 Flash, Gemini 3.7 Flash, Gemini 3.6 Flash, Gemini 3.1 Pro, Claude Sonnet and Opus 4.6 and gpt-oss-120b. Google AI Pro and Ultra subscribers get higher limits, and organisations can buy it through Google Cloud with consumption-based pricing.

Google promotes both Antigravity 2.0 and an Antigravity CLI. For Google’s assistant more broadly, see the Gemini profile and how it stacks up in Gemini vs ChatGPT.

Grok Build

Grok Build is SpaceXAI’s coding tool, and it is included on every Grok plan, including the free one. SpaceXAI’s Grok 4.6 model is available in Grok Build and through the API, priced from $2 per million input tokens and $6 per million output tokens. The free Grok plan has limited usage, so heavy use needs a paid plan. See Grok vs ChatGPT or the Grok profile.

Meta Muse Code

Muse Code is Meta’s terminal-based coding agent for large code bases. TechCrunch reported on August 5, 2026 that it can plan changes, write code and validate the results, installs with a single command, and fans out to sub-agents working in parallel in isolated worktrees so that they don’t interfere with your working directory. It runs on Meta’s Muse Spark model and was in beta at launch, and the report gave no pricing. Meta’s consumer agent is covered in Meta Muse.

Which AI coding assistant should you choose?

• You want an agent to take a whole task: try Claude Code or Codex. Both work in the terminal, in editors and on the web.
• You want AI in the editor you already use: GitHub Copilot supports the widest range of editors, from $10 a month.
• You are happy to switch editors: Cursor is built around AI from the ground up.
• You want to pay nothing: start with GitHub Copilot Free, a free ChatGPT plan for Codex, Antigravity’s Individual plan or a free Grok account.
• You work on large repositories in parallel: compare Muse Code’s isolated worktrees with the parallel sessions in Claude Code.
• You are on a team: check the business plans, since admin controls, pooled usage and data settings differ from the individual ones.

How to try a coding assistant safely

1. Use a branch, and review every diff before merging.
2. Run your tests after every change; agents can be confidently wrong.
3. Keep secrets out. Don’t paste keys or customer data into prompts, and check each tool’s data settings.
4. Start with a small, well-defined task and compare two tools on the same one.
5. Watch your usage. Agent tasks consume far more of an allowance than chat, so check limits before relying on a plan.

For how coding agents fit into the wider category, read AI agents explained.