How to Use Claude Code for FREE: The Complete 2026 Guide

Claude Code is the best AI coding agent on the market. It is also expensive — a serious week of vibe-coding on Opus 4.7 will burn through more than a month of a developer's coffee budget. For solo developers, students, side-projectors, and anyone working out of a cost-sensitive region, "use Claude Code daily" and "respect my budget" feel like they cannot both be true.

They can. There are real paths to running Claude Code at zero or near-zero cost in 2026 — paths that keep the CLI, the IDE extensions, the model picker, and the tool-use workflow intact. The cleanest one is a local proxy called Free Claude Code that routes your Claude Code requests to 17+ alternative model providers. Several of those providers have free tiers. Some of them run locally on your laptop. Combine the two, and Claude Code costs you nothing.

This guide walks through the whole thing — what counts as "free", the proxy setup, the providers worth routing to, per-model routing strategy, the limits and gotchas, and when the free path stops being worth it. By the end you will have a working free Claude Code stack that you can run today.

What "Free" Actually Means Here

Let us be honest about the word first. There are four meaningful flavours of "free Claude Code", and they trade off differently.

This post is mostly about flavours 2, 3, and 4 — the ones that give you the full Claude Code experience (the CLI, the IDE plugin, the model picker, tool use, file editing) without the Anthropic API bill. Flavour 1 is great but it is just Claude.ai chat, which is a different product from the coding agent.

Pro tip: "Free Claude Code" in this guide does not mean a cracked or pirated Anthropic API. It means using the official Claude Code client — the legitimate CLI and IDE extensions — and pointing them at non-Anthropic model backends through an open-source proxy. Everything we describe is fully above-board and MIT-licensed.

The Free Path in One Sentence

Install Claude Code as normal. Install the Free Claude Code proxy alongside it. Point Claude Code at the proxy. Configure the proxy to route your requests to any combination of free providers and local models. Run.

The proxy is a 17-provider gateway that translates between Claude Code's expected Anthropic API shape and each backend provider's actual API. Claude Code never knows it is talking to anything other than Anthropic. The model picker, the streaming, the tool use, the reasoning blocks — all of it keeps working. Built and maintained under MIT license; the source is on GitHub.

Step-By-Step Setup

Total time start to finish: about 15 minutes if you already have Claude Code installed.

Step 1 — Install Claude Code (if you have not already)

If you are reading this post you probably already have it. If not:

npm install -g @anthropic-ai/claude-code

Or use the VS Code Claude Code extension, the JetBrains plugin, or whichever surface you prefer. All of them work with the proxy approach.

Step 2 — Install Free Claude Code

One command per OS.

macOS / Linux:

curl -fsSL "https://github.com/Alishahryar1/free-claude-code/blob/main/scripts/install.sh?raw=1" | sh

Windows PowerShell:

irm "https://github.com/Alishahryar1/free-claude-code/blob/main/scripts/install.ps1?raw=1" | iex

The installer pulls the proxy, installs Python 3.14 if you do not have it, and registers two binaries on your path: fcc-server (the proxy daemon) and fcc-claude (a wrapper that launches Claude Code pointing at the proxy).

Step 3 — Start the proxy

fcc-server

The proxy starts listening on http://127.0.0.1:8082. You can leave this running in a background terminal tab, or run it as a launchd / systemd service if you want it always-on.

Step 4 — Configure providers

Open the local admin UI in your browser at http://127.0.0.1:8082/admin. This is where you tell the proxy which providers to use.

For each provider you want to use, you add an API key (or a local endpoint URL, in the case of Ollama / llama.cpp / LM Studio). The admin UI validates the key by making a test request and shows you green if it works.

For a true free setup, the providers worth adding first:

• NVIDIA NIM — generous free tier, hosts open-weight models and several proprietary ones. Sign up at build.nvidia.com.
• OpenRouter free tier — aggregator with several free-tier models (DeepSeek, Mistral, Gemini Flash). Sign up at openrouter.ai.
• Google AI Studio (Gemini) — free tier on Gemini 3.5 Flash with high daily limits. Sign up at aistudio.google.com.
• Groq — fast inference on open-weight models with a free tier. Sign up at console.groq.com.
• Cerebras Inference — extremely fast open-weight inference with a free tier.

Step 5 — Set up routing

In the admin UI, the routing tab lets you decide which incoming Claude model name goes to which backend provider. The default Claude Code model names are claude-opus-4-7, claude-sonnet-4-6, claude-haiku-4-5, plus the Fable 5 line.

A working free setup we recommend:

Step 6 — Launch Claude Code through the proxy

fcc-claude

The wrapper sets the right environment variables and starts Claude Code. The model picker now shows the models your proxy routes for. Tool use, streaming, file editing — all of it works exactly like vanilla Claude Code.

If you prefer the VS Code Claude Code extension, add these to settings.json under claudeCode.environmentVariables instead:

"ANTHROPIC_BASE_URL": "http://localhost:8082"
"ANTHROPIC_AUTH_TOKEN": "freecc"
"CLAUDE_CODE_ENABLE_GATEWAY_MODEL_DISCOVERY": "1"
"CLAUDE_CODE_AUTO_COMPACT_WINDOW": "190000"

Then restart the extension. Done. JetBrains ACP follows the same env-variable pattern.

The Best Free Providers, Ranked

Not every free tier is equal. Two weeks of testing each one inside Claude Code with the proxy, the practical ranking:

1. Google AI Studio (Gemini 3.5 Flash) — the best all-rounder

Gemini 3.5 Flash via Google AI Studio is the best default. Generous daily quota (the free tier limit is high enough that most solo developers never hit it in a real day's work), 2M context window, native multimodal, and low latency. Quality is genuinely close to Sonnet-class on most coding tasks. Wire it up as your Sonnet-class default and your routine coding will not notice the difference.

2. NVIDIA NIM — the underrated power tier

NIM hosts a serious catalogue including DeepSeek, Llama 3.3, Qwen, and several proprietary models. Free tier is generous, latency is good, and the model catalogue is large enough to cover both routine work and hard reasoning. Wire it up as a secondary route for Opus-class work where Gemini falls short.

3. Groq + Cerebras — the speed-tier

Both offer free tiers on open-weight Llama and Qwen models. Inference speed is the killer feature — both run at 500+ tokens/sec, which makes the Haiku-class tier feel instant inside Claude Code. Use them for routine refactors, quick lookups, and any task where the agent loop benefits from low latency.

4. OpenRouter free tier — the aggregator

OpenRouter exposes several free-tier models (DeepSeek V3, Llama, Mistral, occasionally Gemini Flash). Quality varies by model; the free tier rate limits are tighter than the individual provider tiers. Worth wiring up as a fallback chain rather than a primary route.

5. DeepSeek API directly

DeepSeek V3 has its own API with very low pricing (it is not free-free but it is cents-per-million-tokens cheap). Quality on coding tasks is genuinely competitive with Sonnet. If you are willing to spend $1-3 a month, wiring DeepSeek as the Opus-class route is a strong move.

Going Fully Offline With Local Models

The most underrated path. If you have a decent laptop or a desktop with a GPU, you can run Claude Code against entirely local models — no internet, no rate limits, no privacy concerns.

Ollama

Easiest entry point. Install Ollama, pull a model:

ollama pull qwen3-coder:30b
ollama pull llama3.3:70b

Then in the Free Claude Code admin UI, add Ollama as a provider pointing at http://localhost:11434. Route your Haiku-class and fallback traffic to it. On a 32GB M-series Mac or a 24GB GPU, the 30B Qwen3-coder model delivers genuinely usable coding output at ~30 tokens/sec.

LM Studio

If you prefer a GUI for downloading and managing models, LM Studio is the same idea with a nicer interface. Models you pull through it expose an OpenAI-compatible API the proxy can call.

llama.cpp

For maximum control. Compile from source, pick your quantisation, run with whatever flags you want. Best for users who already live in the local-model world.

The local-models path has one big upside (zero cost, zero rate limits, full privacy) and one tradeoff (you need hardware, and quality is below the frontier closed models). For a hybrid setup — frontier free tiers for hard tasks, local models as a no-limit fallback — it is genuinely hard to beat.

Per-Model Routing — The Strategy That Makes the Free Path Work

If you route every Claude Code request to the same backend, the free path eventually breaks. Either you hit a rate limit, or you get the cheap-model-on-a-hard-task problem where the agent loops and burns tokens trying to recover.

Per-model routing fixes this. You assign different backends to different Claude model tiers, and Claude Code's model picker becomes a real lever: pick Opus when you want the hard reasoning, Haiku when you want speed, Sonnet for the middle ground. Each routes to the best free provider for that workload.

A working routing config:

• Opus-class → Gemini 2.5 Pro (free) or NIM-hosted DeepSeek V3. Fallback: OpenRouter DeepSeek V3 free.
• Sonnet-class → Gemini 3.5 Flash (Google AI Studio free). Fallback: Groq Llama 3.3 70B.
• Haiku-class → Groq Llama 3.3 70B. Fallback: Cerebras Qwen 32B.
• Fallback → Local Ollama with Qwen3-coder 30B. Never rate-limited.

The proxy handles the fallback chain automatically — if Gemini hits its quota, the next request transparently goes to Groq, then to Cerebras, then to your local Ollama. Claude Code never sees a failure; you just keep coding.

Pro tip: Set up the fallback chain even if you do not think you will hit limits. The single most annoying experience is being mid-flow on a coding task and getting a rate-limit error from your primary provider. With fallbacks, the proxy handles it silently.

The Honest Trade-offs

The free path is real, but it is not magic. The trade-offs you accept:

• You are not using Anthropic's models. The proxy routes to Gemini, DeepSeek, Llama, Qwen, etc. — not to Claude Opus or Claude Sonnet. Quality is close on most coding tasks but not identical. For the hardest autonomous refactors, the real Anthropic models still pull ahead.
• Rate limits are a thing. Free tiers cap daily requests or tokens. Heavy users will hit them. The fallback chain mitigates this but does not eliminate it.
• Some Claude-specific features are not 1:1. Computer use, prompt caching, and the most advanced tool-use patterns work best with real Anthropic models. The proxy handles the basics well; the edges occasionally show.
• You manage more infrastructure. The proxy is one more process to keep alive. The admin UI is friendly, but you are now responsible for a small piece of local plumbing.
• Privacy is mixed. Free provider tiers often use your prompts for training. Read each provider's policy. If privacy is non-negotiable, route everything to local models.

None of these are deal-breakers for the target audience (cost-sensitive developers, students, hobbyists, side-projectors). For a senior engineer at a funded company shipping production code, the trade-offs are usually not worth it — pay for the real thing.

The Bonus Layers — Discord, Telegram, Voice

Free Claude Code ships with optional wrappers that turn the proxy into a remote coding agent.

• Discord bot. Drop the bot in your server, and any authorised member can run Claude Code through chat commands. Useful for team coding sessions or quick fixes from a phone.
• Telegram bot. Same idea, Telegram side. Direct-message it from your phone to spin up a coding agent against your repo.
• Voice transcription. Optional layer that routes voice notes through local Whisper or NVIDIA NIM transcription. Hands-free Claude Code from a couch or a car — yes, really.

None of these are required. All of them are useful enough that we have personally kept the Telegram bot running ever since we set it up. Voice-driven Claude Code is genuinely a different way to use the tool.

When the Free Path Stops Being Worth It

The free path makes sense for a real majority of Claude Code users. Where it stops:

• You are shipping production code daily. The cost of a flaky output is much higher than the cost of the API call. Pay for the real Anthropic models.
• You are running autonomous agents for hours. Long autonomous coding sessions need Opus-class quality. Frontier free tiers struggle here.
• Compliance / legal constraints prohibit non-approved providers. If you work in healthcare, finance, or government, the privacy and BAA paperwork may not exist for the free providers.
• Your time is worth more than the API bill. If you bill $200/hour and Claude Code saves you ten hours a week, the API cost is irrelevant. Pay and move on.

The clean split: hobby code, learning, side projects, exploratory work → free path. Production work, billable client work, time-sensitive output → paid path. Most developers do both kinds of work and should run both stacks.

The Verdict

You can run Claude Code for free in 2026, fully and legitimately. The path is a local proxy (Free Claude Code) routing your requests to free provider tiers and optional local models. The CLI, the IDE plugins, the model picker, the tool use, the file editing — everything works. You give up some quality on the hardest tasks and you accept rate limits, but for the majority of coding work the experience is genuinely good.

If you build software for a living and have a real budget, pay for Claude Code. If you are a student, a hobbyist, a side-projector, or anyone building in a cost-sensitive context, the free path is real and it works today. 15 minutes of setup, and you have a Claude Code stack that costs you nothing.

Keep Reading

• Free Claude Code on the PromptsRush directory — the skill page with the download and full SKILL.md.
• AI Skills vs Prompts: What's the Difference? — the conceptual primer on what a Skill actually is.
• Claude Fable 5 Prompts for Web Developers — the prompt library to pair with your free Claude Code stack.
• 100 Best Claude Opus 4.7 Prompts for Power Users — the wider prompt library across categories.
• How to Create a UI Design Skill Using design.md — pair this with Claude Code so the agent respects your design system.
• Claude Fable 5 vs GPT-5.5 vs Gemini 3.5 Flash — model comparison covering when each free backend wins.
• Prompt Library — the full searchable collection.
• All AI Models — model catalogue with pricing and capabilities.