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TL;DR
- Pick Cline if you want an open-source agent you can point at any model (Claude, GPT, Gemini, local models through Ollama, or 200-plus models via OpenRouter), running inside VS Code, JetBrains, or a terminal CLI, with no subscription fee for the tool itself.
- Pick Claude Code if you want Anthropic's own agent runtime built specifically around Claude, with two years of published skills, MCP servers, and CI patterns behind it.
- Use both if your team touches more than one model provider. Cline's plan/act split and model flexibility suit exploratory or cost-sensitive work; Claude Code's tighter integration with Claude itself suits teams standardized on Anthropic's models.
- Pricing: Cline's extension, CLI, and SDK are free and open source (Apache 2.0); you pay only for AI inference, either bring-your-own API keys or Cline's own credit system, with no seat fee. Claude Code has no standing free tier: it runs on metered Anthropic API usage or a Claude Max subscription ($100 to $200 a month depending on tier).
Cline started life as "Claude Dev," a VS Code extension built specifically to run Claude as an autonomous coding agent. It has since dropped the single-model framing entirely: the project is open source under Apache 2.0, connects to more than a dozen model providers, and now ships as a VS Code extension, a JetBrains plugin, a standalone CLI, a Node.js SDK, and a separate multi-agent Kanban board. Claude Code took the opposite path. Anthropic built one CLI around its own models and left it there on purpose.
This comparison is checked against Cline's GitHub repository (cline/cline), its public pricing page, and its own README as of September 2026, not marketing copy or an assumption about what a VS Code extension named after Claude still does.
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Side-by-side comparison
| Dimension | Cline | Claude Code |
|---|---|---|
| Maker | Cline Bot Inc | Anthropic |
| License | Open source, Apache 2.0 | Proprietary CLI (source not open) |
| Primary surface | VS Code extension, JetBrains plugin, terminal CLI, SDK | Terminal |
| Models | Any provider: Anthropic, OpenAI, Google, OpenRouter (200-plus models), AWS Bedrock, Azure/GCP Vertex, Cerebras, Groq, Ollama, LM Studio, or any OpenAI-compatible endpoint | Claude (Sonnet, Opus, Haiku) only |
| Context window | Not published as one headline number; varies by the model you connect | 200K tokens standard (1M in beta on some plans) |
| Free tier | Yes: the extension, CLI, and SDK are free with no subscription; you pay only for AI inference (bring your own keys or Cline's provider) | No standing free tier; API usage or Claude Max subscription |
| Plan/Act split | Yes: Plan mode explores and proposes a strategy, Act mode executes it, with per-edit and per-command approval or an auto-approve toggle | Yes: a dedicated plan mode for scoping before execution |
| Project rules | .clinerules files, picked up automatically across the CLI, VS Code extension, and JetBrains plugin | CLAUDE.md |
| Hooks / extensibility | Lifecycle hooks and custom tools exposed through the SDK's plugin system (developer-facing, not a simple end-user config file) | Yes: PreToolUse, PostToolUse, SessionStart, and more, via a documented hooks system |
| MCP support | Yes: built-in MCP Marketplace plus manual server configuration, managed via cline mcp in the CLI | Yes, first-party from launch |
| Multi-agent | Yes: coordinator/specialist teams via --team-name, plus a separate Kanban product for running many agents in parallel, each in its own git worktree | Yes: spawned via the Task tool |
| Scheduling | Yes: cron-based scheduled agents that persist across restarts (cline schedule create) | Not a documented standing feature; scheduling is typically wired up externally (CI, cron calling the CLI) |
| Messaging integrations | Yes: Telegram, Slack, Discord, Google Chat, WhatsApp, and Linear, each mapped to its own agent session | Not a documented standing feature |
| Checkpoints / undo | Yes: every change is tracked with checkpoints you can revert | Yes: session persistence across turns |
| Headless / CI mode | Yes: cline runs with zero interaction, JSON output, and pipeable input for scripting and CI/CD | Yes: scriptable via the CLI and Anthropic's GitHub Action |
| GitHub integration | Not a documented first-party GitHub Action as of this writing | Anthropic-published GitHub Action for PR review and issue triage |
| Pricing model | Free tool, usage-based inference (BYOK or Cline's own credits); Enterprise tier adds SSO, SCIM, audit logs, VPC deployment, and the JetBrains extension under a custom contract | Metered API usage or Claude Max bundle |
| Ecosystem maturity | Active and fast-moving (68k-plus GitHub stars, frequent releases), but a shorter production track record than Claude Code | More established; larger body of community skills, MCP servers, and CI patterns |
One line in that table is worth flagging rather than glossing over: Cline's own pricing page lists the JetBrains extension as an Enterprise add-on, even though Cline is also listed on the JetBrains Marketplace as an install anyone can grab. That is either a stale pricing page or a genuine split between a free JetBrains listing and enterprise-grade JetBrains features. It is not resolved on Cline's public site as of this writing, so treat the exact scope of free JetBrains support as unverified until you check it directly for your plan.
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Cline deep dive
Cline is an open-source coding agent, distributed as a VS Code extension (installed as saoudrizwan.claude-dev, a name that still carries the Claude Dev history), a JetBrains plugin, a terminal CLI (npm i -g cline), and a Node.js SDK (@cline/sdk) for building custom agents on the same engine. A separate product, Kanban, runs many Cline agents in parallel from a web-based task board, giving each card its own git worktree, auto-commit, and dependency chain.
The model-agnostic design is the core of what Cline is. It connects to Anthropic, OpenAI, Google, AWS Bedrock, Azure or GCP Vertex, Cerebras, Groq, and more than 200 models through OpenRouter, plus local models via Ollama or LM Studio, and any OpenAI-compatible endpoint. You bring your own API key for any of these, or use Cline's own inference credits, and the extension itself never charges a subscription or seat fee for the tool.
Plan and Act mode structures the workflow. In Plan mode, Cline reads the codebase, asks clarifying questions, and proposes a strategy before touching anything. Switch to Act mode and it executes that plan, with every file edit and terminal command requiring your approval by default, or an auto-approve toggle if you want it to run unattended. Every change is tracked with checkpoints, so a bad run is one command away from being undone rather than something you manually git-reset out of.
Rules and skills live in .clinerules files: project-specific coding standards, architecture conventions, deployment procedures, and testing requirements that Cline picks up automatically across the CLI, VS Code extension, and JetBrains plugin. Skills let the model load specific rules only when they're relevant, instead of stuffing every rule into every prompt.
MCP and plugins extend Cline in two ways. The built-in MCP Marketplace covers one-click installs of community MCP servers for databases, APIs, and cloud infrastructure, managed from the CLI with cline mcp. On top of that, the SDK exposes a plugin system, register custom tools and lifecycle hooks in TypeScript for logging, auditing, policy enforcement, or bespoke integrations. That plugin system is Cline's closest equivalent to Claude Code's hooks, but it's a developer-facing API rather than a drop-in config file, so teams that want hook-style behavior without writing code will find Claude Code's hooks.json model more direct.
Multi-agent and automation features go further than most single-CLI competitors. A coordinator agent can break a task into subtasks and hand them to specialist agents with their own tools and context, invoked from the CLI with --team-name. Scheduled agents run on cron for recurring work (daily PR summaries, weekly dependency checks) and persist independently of any open terminal session. And Cline connects directly to Telegram, Slack, Discord, Google Chat, WhatsApp, and Linear, mapping each conversation thread to its own agent session with configurable access control, which turns "run an agent" into something a non-technical teammate can trigger from a chat app rather than a terminal.
Where Cline stops being the obvious answer: a documented first-party GitHub Action, and general ecosystem depth. Cline's GitHub repository sits at roughly 68,000 stars and ships frequent releases, but it doesn't yet have the same volume of published skills, tested MCP servers, and production CI recipes that two years of Claude Code usage has produced.
Claude Code deep dive
Claude Code is Anthropic's coding agent. Install it via npm, run claude in a project directory, and the CLI already has tools to read and write files, run bash, search the codebase, and call any MCP server you point it at.
The defining property is agentic maturity. Claude Code was built around the agent loop from the start: a structured plan mode for tasks that need scoping before execution, a permissions system that asks before running shell commands, and session persistence across turns. It's built for describing an outcome and letting the agent work for minutes or hours.
Hooks, skills, and sub-agents are the customization layer. Hooks intercept lifecycle events (PreToolUse, PostToolUse, SessionStart, UserPromptSubmit) so you can inject formatters, linters, or custom validation without writing a plugin. Skills are markdown knowledge packs that auto-load on trigger phrases. Sub-agents are spawned via the Task tool, each with its own context window and toolset.
MCP is native and was the reference implementation at launch, which means most MCP servers (filesystem, Postgres, Linear, Notion, GitHub) drop in with one config entry and get exercised by a wider set of real projects.
Where Claude Code stops being the right answer: cost predictability and model choice. There's no free daily quota, and there's no dropdown or config field for other providers' models if Claude isn't the right fit for a given task. If your team already runs a mixed-model stack, or wants the option to swap in a cheaper or local model for routine work, that flexibility belongs to Cline, not Claude Code.
Head-to-head
Cost
Cline wins on the tool itself: the extension, CLI, and SDK are free with no subscription, and you only pay for the inference you actually use, at whatever provider's rates you choose (including bringing existing API credits you already have). Claude Code has no standing free tier: you pay Anthropic API rates per token, or bundle into Claude Max ($100 to $200 a month depending on tier) for a fixed quota. Whether that nets out cheaper for Claude Code depends entirely on your usage volume and which model you'd otherwise run through Cline.
Model access
Cline wins outright. It is not tied to any single provider: Anthropic, OpenAI, Google, AWS Bedrock, Azure/GCP Vertex, Cerebras, Groq, Ollama, LM Studio, and more than 200 models through OpenRouter are all first-class options. Claude Code is Claude-only by design; that's a feature if Anthropic's models are exactly what you want and nothing else, and a limitation the moment you need to route a task to a different provider without switching tools entirely.
Surface area
Cline wins on breadth. A VS Code extension, a JetBrains plugin, a terminal CLI, an SDK for custom agents, and a separate Kanban board for running many agents in parallel cover more workflows than a single CLI. Claude Code wins on focus: one surface, one thing to learn, no decision about which Cline product to open for a given task.
Automation and integrations
Cline wins here by a wide margin. Cron-based scheduled agents, direct connections to Telegram, Slack, Discord, Google Chat, WhatsApp, and Linear, and a headless CLI mode with JSON output cover ground that Claude Code leaves to external tooling. If you want an agent reachable from a chat app or running unattended on a schedule without wiring that up yourself, Cline already ships it.
Agentic maturity and ecosystem
Claude Code wins here. Both tools have plan/act-style workflows, project-level rule files, MCP support, and checkpoint-style undo now. What Claude Code has that Cline doesn't yet is time: two years of published skills, MCP servers built and tested against it, and documented CI and hook patterns from teams running it in production. Cline is active and growing fast, but it's working from a shorter track record, and its hook-equivalent (the SDK plugin system) asks more of the person setting it up than Claude Code's config-file hooks do.
GitHub integration
Claude Code wins by default here, since Anthropic publishes a GitHub Action for PR review and issue triage and Cline doesn't document an equivalent first-party action on its public repository as of this writing. If GitHub-native automation matters to your workflow today, that gap is worth checking directly before you commit.
When to pick which
Pick Cline when:
- You want to try agentic coding without committing to a single model provider or a subscription for the tool itself.
- Your team already has API credits or preferred providers (OpenAI, Gemini, local models via Ollama) and wants an agent that works with all of them.
- You want scheduled agents, chat-app integrations, or a multi-agent Kanban board without building that tooling yourself.
- You're comfortable with an open-source project's pace of change and want to inspect or extend the agent's own code.
Pick Claude Code when:
- You want the more mature agent runtime with the deepest library of published skills and MCP servers to borrow from.
- You're running production agent workflows and want patterns other teams have already tested at scale.
- You specifically want Anthropic's models for the coding and reasoning tasks you're running, with nothing else in the loop.
- You need a documented GitHub Action for PR review and issue triage today, not eventually.
Can you use both?
Yes, and the two tools don't compete for the same job most of the time. Cline's model flexibility makes it a reasonable default for exploratory work, cost-sensitive tasks routed to cheaper models, or automations that need to live in Slack or run on a schedule. Claude Code's tighter integration and larger body of tested patterns make sense once a workflow is settled and you know Claude is the right model for it.
A reasonable split looks like this:
- Use Cline for early exploration on a new codebase, routing tasks to whichever model handles them best or cheapest, including local models for anything sensitive enough that you don't want it leaving your machine.
- When a task needs Claude Code's more battle-tested agent loop, especially anything with hooks, MCP servers, or CI integration you've already built around it, hand it to Claude Code directly.
- Use Cline's scheduled agents or chat integrations for recurring, low-stakes automation (dependency checks, PR summaries) so a human doesn't have to trigger them manually.
- Commit between agentic runs regardless of which tool is running, and avoid pointing both at the same file at once; neither coordinates with the other.
For teams that want a Claude Code setup done properly, with hooks, skills, and MCP servers tailored to their codebase, we build Claude Code agency-grade setups for product teams. The goal is picking the tool that earns its keep for the task in front of you, not defending a single-vendor stack out of habit.
Closing
Cline and Claude Code both grew out of the same idea, an agent that reads your codebase and makes changes with your approval, and then diverged on how far to open the model layer. Cline kept expanding: any provider, any surface, scheduling, chat integrations, a whole second product for running agents in parallel. Claude Code stayed narrow on purpose, betting that depth on one model family beats breadth across many. If cost and model flexibility matter most, Cline's open-source, pay-for-inference model is hard to beat. If you want the runtime with the longest production track record and the deepest library of things other teams already built specifically for it, that's still Claude Code.
If you want help designing the right agentic setup for your team (Claude Code skills, hooks, MCP servers, CI integration), book a free consultation. We'll audit your stack and tell you where each tool earns its keep. The Claude Code workflows guide covers the 8 production patterns worth learning first.
FAQ
Is Cline better than Claude Code?
Neither is universally better. Cline wins on cost (free tool, pay only for inference), model flexibility (any provider, including local models), and built-in automation (scheduling, chat integrations, a multi-agent Kanban board). Claude Code wins on agentic maturity and ecosystem depth: more published skills, more MCP servers built against it, more production precedent, plus a documented GitHub Action. Pick based on which trade-off matters for your work.
Is Cline free?
The tool itself is: the VS Code extension, JetBrains plugin, CLI, and SDK are open source under Apache 2.0 with no subscription or seat fee. You pay only for AI inference, either with your own API keys from any supported provider or through Cline's own credit system. An Enterprise tier exists on top of that for SSO, SCIM, audit logs, VPC deployment, and centralized billing under a custom contract.
Does Cline support every AI model?
It supports a very wide range: Anthropic, OpenAI, Google, AWS Bedrock, Azure/GCP Vertex, Cerebras, Groq, OpenRouter (200-plus models from any provider), Vercel AI Gateway, Ollama and LM Studio for local models, and any OpenAI-compatible API. Claude Code, by contrast, only runs Claude models.
How much does Claude Code cost?
There's no standing free tier. You either pay Anthropic API rates per token, or bundle into a Claude Max plan ($100 to $200 a month depending on tier) for a fixed usage quota. Heavy agentic users can outspend Cline's pay-per-inference model by a wide margin, depending on which model Cline is pointed at.
Does Cline support MCP?
Yes. Cline has a built-in MCP Marketplace for one-click server installs, plus manual configuration managed through cline mcp in the CLI. Both tools treat MCP as a first-class extension point, not a bolt-on.
Does Cline have hooks like Claude Code?
Not in the same form. Claude Code exposes hooks (PreToolUse, PostToolUse, SessionStart, and more) through a simple config file. Cline's closest equivalent is a plugin system in its SDK, where you register custom tools and lifecycle hooks in TypeScript. It covers similar ground but expects you to write code rather than edit a config file.
Which has the bigger context window?
Cline doesn't publish one headline context-window number, since it varies by whichever model you connect it to. Claude Code's standard context is 200K tokens, with 1M-token context in beta on some plans. If a single, predictable context size matters more than model choice, that predictability favors Claude Code.
Is Cline open source?
Yes, under the Apache 2.0 license, with the source on GitHub at cline/cline. Its JetBrains plugin is a partial exception: Cline's own docs note the JetBrains client currently isn't open-sourced the same way the VS Code extension and CLI are. Claude Code's CLI is proprietary; Anthropic documents its behavior and permissions model but does not publish the source.
Can I use Cline and Claude Code together?
Yes. A common pattern is using Cline for exploratory work across whichever model fits the task, plus any scheduled or chat-triggered automation, then handing tasks that need Claude Code's specific agent loop, hooks, or MCP setup to Claude Code directly. Commit between runs and avoid touching the same file with both at once.
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