Cline vs Claude Code: a free alternative in VS Code

Ailoot reference documentation: ailoot.ai/docs/.

Cline and Claude Code in a nutshell#

This is a review based on two weeks of working with both tools and cross-checking official sources: cline.bot, docs.cline.bot, code.claude.com/docs, and the cline/cline GitHub repository. The figures and features are current as of May 30, 2026.

If you’re just starting out and want an overview of all the tools, read the guide “What to code with in 2026: 8 AI tools from Claude Code to Antigravity” first. Here I focus on comparing Cline and Claude Code as two leading ways to work with an agent from VS Code and the terminal.

What is the main difference between Cline and Claude Code?#

Cline chose the open-source route. Cline Bot Inc. published the extension in the VS Code Marketplace (as well as JetBrains, Cursor, Windsurf, Zed, and Neovim) under the Apache-2.0 license. Inside is an agent that reads your project, writes code, and runs commands. The tagline on cline.bot is:

“One open-source agent. Run it in your editor, in the terminal, or embed it in your products.”

(cline.bot, translated from English)

You pay only for tokens through your own provider API key (Anthropic, OpenAI, Google, DeepSeek, and so on). Cline doesn’t charge you anything itself.

Claude Code took a different path. Anthropic built a closed-source agent designed for its own models and maximum autonomy. From code.claude.com/docs/en/overview:

“Claude Code is an agentic coding tool that reads your project’s code, edits files, runs commands, and integrates with your development tools. It’s available in the terminal, IDE, desktop app, and browser.”

(code.claude.com/docs/en/overview, translated from English)

A subscription costs $20/month (Pro) or $100–200/month (Max), and includes only Anthropic models: Opus 4.7/4.8, Sonnet 4.6, Haiku 4.5. In return, you get Skills, Subagents, Routines, Hooks, Plan Mode, and Auto memory—all the things Anthropic has been building around its models for the past six months.

To simplify:

“Better” doesn’t apply here. If your project requires seeing every diff and keeping model costs under control, Cline is a better fit. If you need an agent that can autonomously tackle a refactor without constant oversight and finish a PR for you while you have coffee, that’s Claude Code.

Which models work with each tool?#

As of May 2026, Cline supports the following (confirmed in the README on github.com/cline/cline):

• Anthropic — Claude Opus 4.7/4.8, Sonnet 4.6, Haiku 4.5

• OpenAI — GPT-5, GPT-5.5, o3-mini

• Google — Gemini 3.0 Pro, Gemini 3.5 Flash, Gemini 2.5 Flash

• DeepSeek — V3 series and V4 (V4-Flash and V4-Pro were added in release v3.85.0 on May 25, 2026)

• AWS Bedrock, Azure, GCP Vertex AI — enterprise cloud entry points

• xAI, Mistral, Cerebras, Groq — fast alternatives

• Ollama, LM Studio — local models on your computer

• Any OpenAI-compatible endpoint — connect your own API endpoint

A direct quote from the README:

“Cline isn’t tied to a single AI provider.”

(cline/cline README on GitHub, current as of May 30, 2026, translated from English)

Claude Code works only with Anthropic models. As of May 2026, the list is:

• Opus 4.7 — flagship model for complex tasks, released April 16, 2026, with context up to 1M tokens on the Max tier.
• Opus 4.8 — released recently, on May 28, 2026. At publication time, it had appeared on the SWE-bench leaderboard, and availability in Claude Code was rolling out. Anthropic’s standard price is $5/$25 per million tokens.
• Sonnet 4.6 — default, balancing speed and quality.
• Haiku 4.5 — cheap and fast; often used as a Subagent model (for file searches, formatting).

In Claude Code, switch models with slash commands /model opus, /model sonnet, /model haiku. /effort controls reasoning depth, and /fast speeds up the response by simplifying it. See the guide Sonnet or Opus 4.7 in Claude Code for more details.

What this means in practice:

1. Cline — you can draft with inexpensive DeepSeek V3, review with Opus 4.7, test with Gemini 2.5 Flash, all in one interface.
2. Claude Code — all prompts, diff formats, and context management are tailored to Anthropic models. Its native integration makes it faster at refactoring.

Price and quality are different things. On SWE-bench Verified in May 2026, DeepSeek V4-Pro-Max scores 80.6%, while Opus 4.7 scores 87.6%. A seven-point difference is the difference between “it worked on the first try” and “three iterations with rollbacks.” A cheap model saves tokens, but rework can eat those savings back up.

How much do Cline and Claude Code cost in May 2026?#

First, Claude Code. Source: claude.com/pricing:

The catch with 2026 API pricing: the new Opus 4.7 tokenizer inflates the token count by up to 35% on the same text. In the end, the actual bill for the same amount of work may be higher than you’d expect from the price list.

Now Cline. Cline itself is $0 (Apache-2.0). You pay only the provider. Prices as of May 2026:

A typical day for a vibe coder who spends 1–2 hours in the agent: 100K input plus 30K output tokens = 130K a day, about 20 working days a month. Here’s the monthly cost through Cline:

With a $20/month budget, Cline + Sonnet through the direct Anthropic API ($15/month) is cheaper than Claude Code Pro ($20). The downside of Cline in this comparison is that you have to watch your own spending. Anthropic Pro has hard limits, but they protect you from an accidental $300 bill overnight.

Approve every step manually, or grant autonomy?#

After you describe the task, Cline first switches to Plan mode. It reads the project code, searches, and discusses a plan, but doesn’t touch anything. From docs.cline.bot/core-workflows/plan-and-act:

“In Plan mode, you and Cline work out what you’re building and how. In this mode, Cline can read your project’s code, search, and discuss strategy, but it cannot modify files or run commands.”

(docs.cline.bot/core-workflows/plan-and-act, translated from English)

Once you like the plan, switch to Act mode. Cline starts editing, and you approve each step with the “Approve” button (that’s its label in the UI). You can enable auto-approval, but by default every diff, shell command, and external request requires your consent.

Claude Code works differently.

You sit down, write “update all API calls to v2 and run the tests,” go for coffee, and come back to a finished PR. If anything breaks along the way, the agent reads the error, applies a fix, and reruns the tests on its own. Claude Code has a /plan command (a read-only analysis phase), but it’s optional, not the default.

What to choose depends on your scenario:

1. Compliance requirements, fintech, client code — Cline. You see every change before it lands in the repository.
2. You want peace of mind after an agent deleted a database — Cline. My guide “What to do if AI deleted your database” breaks down exactly this situation.
3. Refactoring 50–100 files — Claude Code. At that scale, step-by-step approval in Cline turns into click work: you’ll click “Approve” 80 times and get tired.
4. A long overnight task — Claude Code (Routines on Anthropic’s cloud infrastructure will run the agent even when your laptop is off).

How do you install Cline in VS Code in 5 minutes?#

Step by step:

1. Find the extension in the Marketplace

   Open the Extensions panel: Cmd+Shift+X on Mac, Ctrl+Shift+X on Windows and Linux. Search for Cline. The extension keeps its legacy Marketplace ID from before “Claude Dev” was rebranded as Cline.

   Alternatively, use the terminal:

   code --install-extension saoudrizwan.claude-dev
   

2. Open Cline in the active panel

   After installation, the Cline icon appears in VS Code’s left sidebar. Click it to open the chat sidebar. Click the gear icon to open settings.

3. Choose a provider and enter your API key

   In settings, use the provider dropdown. Common options:

   • Anthropic — get a key from console.anthropic.com; Sonnet 4.6 is the recommended model.

   • DeepSeek — get a key from platform.deepseek.com; choose DeepSeek V3 or V4.

   • Cline Provider — built-in pay-as-you-go, with no subscription; register at app.cline.bot.

   • Ollama — install Ollama locally first (ollama pull qwen2.5-coder), then connect to Cline without a key.

4. Start your first task

   Enter a task in the chat. By default, Cline starts in Plan mode: it reads the project, asks clarifying questions, and proposes a plan. When you’re happy with the plan, switch the toggle at the bottom to Act mode. Cline starts editing. Each diff is displayed, and you need to click “Approve” (or enable auto-approval in settings).

That’s it. You’re ready to work. If you’ve used Claude Code and are used to slash commands, the UX here is different: everything goes through the VS Code sidebar and buttons.

How to connect a provider or local model#

An API provider with an OpenAI-compatible endpoint. Sign up with your chosen provider, get an API key, and enter its endpoint in Cline as an “OpenAI-compatible” provider. Cline sends requests to it, and the provider proxies them to Anthropic/OpenAI/DeepSeek for the models it offers and deducts tokens from your internal balance. In the author’s example, the downsides are a 10–30% markup over official prices, potentially slower speeds, and having to trust an intermediary with request data. Access and payment terms are set by the chosen provider.

DeepSeek through Alibaba Cloud. The original review describes access with your own Alibaba Cloud key and Token Plan. This technical option also depends on the provider’s access and payment terms. The method is explained in detail in the guide “Qwen 3.7-max vs Opus 4.7”.

A local model through Ollama. Install Ollama on your computer, download Qwen 3.7 or Llama 3.x, and connect Cline to Ollama without an API key. You pay only for electricity, and everything works offline. Downsides: local models still fall short of Opus 4.7 on complex tasks, and your computer has to be able to run the model (at least 16–32 GB RAM for decent models).

When to choose Cline: scenarios#

Specific situations where Cline is objectively better:

1. You hit Claude Pro’s weekly limit mid-task. Pro costs $20/month and has hard limits on Opus. With heavy use, you can hit them by midday. Max at $100–200 has higher limits, but costs several times as much. With Cline, you can connect directly to the Anthropic API (pay as you go, with no limits) or switch to DeepSeek/Gemini until your Pro quota resets.

2. You want to see every diff before it’s applied. Plan + Act mode with step-by-step approval is a requirement for compliance checks, client code, and fintech projects—and for anyone who remembers stories like “the agent deleted my production database” (I covered such cases in my guide to rolling back changes).

3. You don’t want to pay a fixed $20/month. Cline is open source and the extension is free. If you code for 2–3 hours a day and don’t need Opus every time, Cline + Sonnet through your own key comes out cheaper than Pro, with no commitment. You can see spending in real time.

4. You need a local model for privacy. Run Ollama + Qwen 3.7 or Llama 3.x locally, and the agent works on your computer; nothing goes to an external API. Cline supports this for NDA projects, reviewing sensitive code, or teams whose data must stay on the machine. Claude Code doesn’t.

5. You need an OpenAI-compatible provider. Cline connects to it like any other OpenAI-compatible provider. In the comparison described here, Claude Code doesn’t offer this option; it uses direct Anthropic access. Access and payment depend on the provider’s terms.

When Cline is NOT the better choice:

• For large autonomous tasks (refactoring 80 files), step-by-step approval turns into click work.
• When you need a particular Claude Code workflow, compare its exact orchestration and hosting requirements with Cline. Subagents are available in both tools; their presence alone does not decide the choice.
• When you work only with Claude and want maximum refactoring speed, Claude Code pulls ahead thanks to native optimization.

When to choose Claude Code: 5 scenarios#

Specific situations where Claude Code is objectively better:

1. Long autonomous tasks without constant supervision. Assign “update all API calls to v2,” walk away, and return to a finished PR with tests run.

2. Skills, Subagents, Routines, Hooks — integrated workflows. Skills (.claude/skills/<name>/SKILL.md) are reusable workflows that activate on a trigger or manually through /skill-name. Subagents are isolated context windows with specialized roles. Routines are cron tasks on Anthropic’s cloud infrastructure that run even when your laptop is off. Hooks are shell commands for 25 lifecycle events (PreToolUse, PostToolUse, Stop, and so on). Cline has scheduled agents too, but they run locally; there’s no equivalent to Anthropic’s infrastructure. Skills and Hooks aren’t native to Cline. I covered them separately in Skills, Subagents, MCP, and Plugins in Claude Code.

3. Cross-device workflows. Remote Control, Dispatch, the iOS app, and the web version at claude.ai/code. Start a task on your laptop, continue on your smartphone on the way to a coffee shop, and pick up the result in the evening. Cline is limited to the IDE and CLI—there are no smartphone workflows.

4. Native Claude integration. Prompts, diff formats, and context management are all tailored to Claude models. For refactoring, this gives you around 3x as many edits per minute as Cline using the same Opus 4.7 model. If you work only with Claude anyway and don’t plan to switch to DeepSeek or Gemini, Claude Code will be faster.

5. Commands and Agent Teams. Agent Teams is available experimentally on Max 5x: several parallel agents in one session. Cline has had subagents since v3.58, but Agent Teams is a different level of orchestration.

When Claude Code is NOT the better choice:

• When you need the tool’s source code to be open (Cline is Apache-2.0; Claude Code is closed-source).
• When you want step-by-step approval for every change (in Claude Code it’s optional; in Cline it’s the default).
• When you work with sensitive code and need a local model without sending anything to an external API.

What does Cline have that Claude Code doesn’t?#

A closer look at each:

Open source (Apache-2.0). You can fork cline/cline, customize it, and inspect what’s inside the agent. This is critical for teams with a “open source only” policy or audit requirements. Claude Code’s source is closed.

Multiple models through 10+ providers. One interface for Anthropic, OpenAI, Google, DeepSeek, AWS Bedrock, Azure, GCP Vertex, xAI, Mistral, Cerebras, Groq, plus any OpenAI-compatible endpoint. You can test Sonnet today, DeepSeek tomorrow, Gemini the day after—all in the same chat.

Local models through Ollama and LM Studio. Download a model, launch Ollama, and connect it to Cline; the agent runs on your computer. Useful for privacy, offline work, and NDA projects. Claude Code has no such mode.

Step-by-step approval as the default. Every diff, terminal command, and request to an external service requires approval before execution. Auto-approval is optional. Claude Code works the other way around: autonomy by default, with restrictions through Hooks (the PermissionRequest event).

.clinerules for project-specific agent rules. Put a .clinerules file in the project root. Cline reads it for every task and adapts to your rules (“always write TypeScript types,” “don’t touch files in legacy/,” “use Conventional Commits”). It’s a close counterpart to CLAUDE.md, only simpler.

How Do Claude Code’s Extension Workflows Compare?#

A closer look:

Skills (.claude/skills/<name>/SKILL.md). Reusable workflows that activate on a trigger or manually through /skill-name. For example, a build-pr-review skill launches an agent that reads the diff, runs tests, writes a review, and drafts a PR comment. Custom commands were merged into Skills in early 2026.

Subagents with isolated context. A Subagent is a separate AI instance with its own context. You can delegate heavy research tasks: the main agent stays clean while the Subagent searches files and returns only the result. Verbose output (search results, logs) doesn’t clutter the main conversation. Cline added subagents in v3.58 (February 2026). Both products therefore support delegation; compare the available context isolation, permitted tools, coordination, and result handoff for your task instead of treating subagents as absent in Cline.

Routines on Anthropic’s cloud infrastructure. Cron jobs on Anthropic’s servers that run even when your laptop is off. They can start on a schedule, an API call, or GitHub events. Want an agent to review recent PRs every morning? Set up a Routine, and it works without your laptop. Cline also has open-source scheduled agents, but they run locally and require an awake computer or your own server.

Hooks for 25 lifecycle events. Shell commands triggered by specific events (UserPromptSubmit, PreToolUse, PostToolUse, PermissionRequest, Stop, SubagentStop, and 19 others). Auto-format after editing a file, lint before commit, custom security checks—all handled with Hooks. Cline has no equivalent.

Auto memory. Claude Code writes down accumulated findings between sessions: build commands, debugging insights, and project quirks. The next day, the agent remembers that in this project, you need to run npm run build with the NODE_OPTIONS=--max-old-space-size=8192 variable. In Cline, you maintain cross-session memory through .clinerules and chat history in Git, but there’s no automatic learning.

iOS app, Remote Control, Dispatch. Launch a long task from your smartphone, then open the result on your desktop in the evening. Cline has no equivalent; it runs in the IDE and CLI on your computer.

Cline’s pitfalls in real-world use#

In the author’s described experience, Cline was used alongside Claude Code for a couple of months. The following are observations from that comparison.

Approval fatigue on big tasks. When you need to update API calls in 80 files, you click “Approve” 80 times. Auto-approval helps, but then you lose Cline’s main advantage: control. You can enable it for routine changes and keep manual approval for critical code.

Lower quality with non-Claude models. DeepSeek V4-Pro-Max scores 80.6% on SWE-bench Verified, compared with 87.6% for Opus 4.7. You won’t notice the difference on simple edits; it shows up on complex tasks.

You save tokens but pay with time. The author’s estimate: 10–15% of tasks with DeepSeek need rework, which eats into the savings.

Manual context management. In long sessions, context fills up and response quality drops. Claude Code has built-in auto-compaction and 1M context on the Max tier. I covered where tokens go in Claude Code; the same patterns apply in Cline, but there’s no automation, so you have to clear context manually with /clear or start a new session.

Checkpoint bugs. On cline/cline on GitHub, issue #9631 is open and #6645 and #8866 are closed. Checkpoint restore doesn’t always work on the second attempt, and state is sometimes corrupted after file generation. For critical tasks, you can duplicate changes with git stash or separate branches.

Young CLI. Headless CLI mode was added in February 2026 (Cline CLI v3.0). For CI/CD tasks, Cline is still less mature than Claude Code.

An ideal setup: Claude Code and Cline together#

An example setup:

• Main project — Claude Code on Opus 4.7. Do all important changes here, use Skills for recurring tasks, Routines for cron jobs, and Auto memory to accumulate findings.
• Experiments with inexpensive models — Cline + DeepSeek V4-Flash. Prototypes of new features, one-off scripts, and template generation: anything where quality isn’t critical and saving money matters.
• Compliance tasks (someone else’s code, fintech, client project) — Cline + Sonnet through the direct Anthropic API. Step-by-step approval lets you see every change and stop at any time.
• When Claude Pro hits its weekly limit — switch to Cline + Anthropic API (pay as you go) or Cline + DeepSeek for routine edits.
• A local model for an NDA project — Cline + Ollama + Qwen 3.7. Everything runs locally; nothing goes out to the internet.

Cline and Claude Code solve different problems and complement each other in one setup. You don’t have to choose one forever.

What’s next: the project context setup#

You’ve installed Cline (or stayed with Claude Code), and it works. You can open any project and start building through a conversation with the agent.

The same question comes up with all the other tools: why does the same prompt in Cline produce great results on one project and garbage on another? The context around the prompt decides. If the project contains a business/ structure with its audience, products, and goals, the agent works like a partner. If the folder is empty, it hallucinates.

The setup rests on two components:

2. A second brain — a business/ folder in the project with its audience, products, goals, and finances. The agent reads it for each request and works with context instead of in a vacuum.
3. Context engineering — managing what the agent knows about your project. What you put into the context matters, not how you phrase the request. I covered this separately in “What is context engineering?”.

This setup works with any agent—Claude Code, Cline, Cursor, Codex, Qwen Code. This is the author’s assessment.

You can continue exploring Ailoot at ailoot.ai.