# Run Claude Code for Free: What Viral Videos Don't Tell You
> Those viral videos about running Claude Code for free are half true. What is actually free, what costs money, and three real setups that work in 2026.
*Source: https://www.infowok.com/run-claude-code-for-free-2026/ · Sukhveer Kaur · Published July 5, 2026*
---
> **Local AI, Zero Cost — Part 4.** [Part 1](/best-local-llm-for-your-laptop/) matched your laptop to the right open model, [Part 2](/local-ai-coding-assistant-vscode/) built a free coding assistant in VS Code, and [Part 3](/local-rag-chat-with-your-documents/) added private document chat. This part tackles the claim behind a wave of viral videos: that you can run Claude Code for free.
Your feed has probably served you the video by now. A terminal, the familiar Claude Code welcome screen, and a bold title: "Claude Code is FREE now!" The claim is half true, and the half that's false is exactly the half the videos skim past. The Claude Code CLI costs nothing to install. The Claude models behind it are never free — but the CLI will happily talk to models that are.
This guide separates the two, shows the one environment variable that makes the whole trick work, and walks through the three setups that actually deliver: a fully free local one, free cloud tiers, and the cheap coding plans that sit in between.
- **The split that explains everything:** the Claude Code CLI is a free download, but Anthropic's models require Pro ($17–20/month), Max, Team or API credits — the Free Claude plan does not include Claude Code.
- **The viral trick is one documented setting:** `ANTHROPIC_BASE_URL` redirects Claude Code to any server that speaks the same API — natively (Ollama, DeepSeek, GLM, Kimi) or through a small local proxy (NVIDIA NIM, OpenRouter).
- **Free has a price:** open models deliver roughly 90% of Claude's coding quality; only the local Ollama route keeps your code on your machine.
- Comfort pasting commands into a terminal — that's genuinely all the Ollama route needs
- For the local option: 16 GB+ RAM helps; [Part 1](/best-local-llm-for-your-laptop/) explains what your machine can run
- For the cloud options: a free NVIDIA or OpenRouter account, or a few dollars for a coding plan
## Is Claude Code Really Free? The Honest Answer
Claude Code is two things wearing one name. The first is a command-line tool — an agent that reads your codebase, edits files and runs commands. That tool installs free in one line:
```bash
curl -fsSL https://claude.ai/install.sh | bash
```
The second is the brain behind it: Claude models served from Anthropic's API. That part is never free. As of July 2026, [Anthropic's pricing page](https://claude.com/pricing) is explicit. The $0 Free plan covers chat on web and mobile but does **not** include Claude Code. The cheapest official way in is **Claude Pro at $17/month billed annually ($20 monthly)**. Max plans start at $100/month for 5x Pro usage. Pay-per-token API access runs from $1 per million input tokens for Haiku 4.5 up to $5/$25 per million for Opus 4.8.
So when a video says "Claude Code is free," read it as: *the steering wheel is free; the engine is rented.* **Bottom line: no video changes Anthropic's pricing — every "free Claude Code" method swaps the engine, not the bill.**
The Free Claude plan does not include Claude Code at all. Anything labeled "run Claude Code for free" is really "run the Claude Code CLI against a non-Anthropic model."
## The Trick Behind the Videos: One Environment Variable
Claude Code talks to its model through the Anthropic Messages API — a plain HTTP format. The CLI doesn't care who answers, only that the reply follows that format. And Claude Code reads the server address from an environment variable, `ANTHROPIC_BASE_URL`, which you can point anywhere.
That one setting is the entire viral trick:
```bash
export ANTHROPIC_BASE_URL=http://localhost:11434 # or any compatible server
export ANTHROPIC_AUTH_TOKEN=ollama
export ANTHROPIC_API_KEY=""
```
A whole ecosystem now stands on the other side of that variable. [Ollama](https://docs.ollama.com/integrations/claude-code) serves the Anthropic-compatible API from your own machine. [DeepSeek](https://api-docs.deepseek.com/quick_start/agent_integrations/claude_code) hosts an Anthropic-compatible endpoint at `https://api.deepseek.com/anthropic`. Z.ai's GLM plans and Moonshot's Kimi plans do the same. These are official, documented integrations — the providers publish the setup guides themselves.
**Bottom line: you keep Claude Code's agent skills — file edits, subagents, permissions — while any compatible model does the thinking.**
## The Real Ways to Get Claude Code for Free
Getting Claude Code for free — actually free, not trial-free — comes down to two routes: run the model yourself, or borrow someone's free tier.
### Option 1: Ollama on your own machine (free forever, private)
This is the cleanest version of the trick, and since Ollama v0.14 it's official: Ollama natively speaks the Anthropic API on port 11434. Newer versions collapse the whole setup into one command:
```bash
ollama launch claude
```
That sets the environment variables and opens Claude Code against your local model. Prefer manual control? Export the three variables above, then run `claude --model qwen3.5` (or any tool-calling model you've pulled). Ollama's docs recommend a **64k+ context window** for real repositories — agentic coding burns context fast.
- **Cost:** $0, forever. No meter, no rate limit, no account.
- **Privacy:** total. Your code never leaves the laptop — same story as the [local VS Code assistant](/local-ai-coding-assistant-vscode/) from Part 2.
- **Catch:** your hardware is the ceiling. A 7B–14B model handles focused edits well but won't match cloud models on sprawling multi-file tasks.
### Option 2: Free cloud tiers (free-ish, rate-limited)
No GPU? Two providers hand out enough free inference to matter. [NVIDIA's build.nvidia.com](https://build.nvidia.com/) catalog offers hosted open models with a free developer tier. It stars in many of the viral videos for a simple reason: capable GLM and Llama variants cost nothing per request within rate limits. [OpenRouter](https://openrouter.ai/models) lists models with a `:free` suffix that cost $0 within daily caps; we covered how its routing works in our [OpenRouter review](/openrouter-review-2026/).
One honest wrinkle the videos gloss over: these two speak the OpenAI-style API, not Anthropic's. So you can't point `ANTHROPIC_BASE_URL` at them directly — you run a small open-source translator proxy on localhost and point Claude Code at that. It's a five-minute detour; [Part 5 walks through the exact setup](/connect-claude-code-to-any-model/).
Free tiers are for evaluation, not production. Rate limits will interrupt long agentic sessions mid-task, and free-tier requests may be used by providers under looser data terms than paid tiers. Read the policy before pasting work code.
## Cheap Beats Free: The Coding-Plan Middle Ground
Here's what the videos rarely admit: most creators making them don't stay on free tiers. They land on budget coding plans — flat-rate subscriptions from model providers, built specifically to plug into Claude Code:
- **DeepSeek** — pay-per-token through its Anthropic-compatible endpoint; routine sessions cost cents rather than dollars.
- **GLM Coding Plan (Z.ai)** — the breakout of the wave, with promo pricing that started as low as a few dollars monthly; as of 2026 the tiers run roughly $10 (Lite) to $80 (Max) per month.
- **Kimi Code (Moonshot)** — built on the trillion-parameter K2 line with very long context, again at a fraction of a Claude subscription.
Benchmark comparisons circulating in 2026 generally place the top Chinese open-weight models at 90–95% of Claude's coding scores. Treat vendor-adjacent numbers with healthy skepticism, but the practical consensus matches. For everyday feature work the gap is small; on the hardest agentic marathons, Claude still leads. That's why our [Cursor vs Claude Code comparison](/cursor-vs-claude-code-2026/) still measures everything against it.
**Bottom line: if free tiers feel throttled but $20/month feels steep, a $3–10 coding plan is the honest middle ground the videos are quietly using.**
## What You Give Up (The Part the Videos Skip)
Swapping the backend costs you three things, and you should choose knowing all of them.
- **Model quality:** you lose Anthropic's models entirely. It's Claude Code without Claude — the agent scaffolding stays, the frontier reasoning goes. Expect the difference on long refactors, subtle bugs and large-context work.
- **Privacy:** every cloud option sends your code to that provider's servers, under that provider's jurisdiction and data policy. For client work or anything under NDA, that's a real decision, not a footnote. Only local Ollama (or an official Anthropic plan) keeps the data story simple.
- **Support and polish:** Anthropic tests Claude Code against Claude. Third-party backends occasionally stumble on tool-calling edge cases, and when they do, you're debugging the seam yourself.
A pragmatic split many developers settle on: a free local model for quick private edits, a cheap coding plan for daily feature work, and a Claude Pro subscription — or API credits — reserved for the problems that resist everything else.
## Which Setup Should You Pick?
| Setup | Real cost | Privacy | Best for |
| --- | --- | --- | --- |
| Ollama, local model | $0 forever | Code stays on your machine | Private repos, focused edits, offline work |
| NVIDIA NIM / OpenRouter free tiers (via proxy) | $0 within rate limits | Code goes to provider | Trying Claude Code's workflow before paying |
| DeepSeek / GLM / Kimi plans | ~$3–30/month | Code goes to provider | Daily coding on a budget |
| Claude Pro (official) | $17–20/month | Anthropic's standard terms | Frontier quality, zero setup friction |
The viral videos aren't lying, but they're selling a headline. Claude Code the *tool* is free and open to any backend — a great deal: a frontier-grade coding agent whose engine you choose. Claude Code the *experience the demos promise* still costs $17 a month, or a willingness to accept a very good model instead of the best one. Now you know exactly which one you're getting.
- **Start here:** install [Ollama](https://docs.ollama.com/integrations/claude-code), run `ollama launch claude`, and feel out the workflow at zero cost.
- **Level up:** ready to wire up a specific backend? [Part 5 has copy-paste configs](/connect-claude-code-to-any-model/) for Ollama, DeepSeek, GLM, Kimi, NIM and OpenRouter — including the proxy step and `settings.json`.
- **Go deeper:** if your laptop is the bottleneck, check [Part 1](/best-local-llm-for-your-laptop/); comparing paid options, see [Cursor vs Claude Code](/cursor-vs-claude-code-2026/).