9Router: A Lifesaver for Devs as AI Coding Becomes Increasingly Expensive

9Router: A Lifesaver for Devs as AI Coding Becomes Increasingly Expensive

Introduction: Why is the “AI Summer” Making Your Wallet Cry?

In recent months, the AI coding community has received some unpleasant news:

• GitHub Copilot has quietly changed its pricing - it no longer offers unlimited completions like it used to.
• Claude Max was launched with a price tag of $200/month. Yes, two hundred dollars. A friend of mine signed up and after seeing the bill for the first month, swore not to use Claude Code again.
• Token burn - models are becoming increasingly intelligent, but they also consume more context. Tool results from git diff, grep -r, tree seem harmless, but when LLMs process them, tokens are “burned” at an alarming rate.

When working at a company, you have access to premium AI tools, but when working on personal side projects or pet projects at home, $200/month is a significant expense (especially for Vietnamese developers).

I was also struggling to find a solution: running local models? Too slow. OpenRouter? Also expensive. Switching to Gemini’s free version? LLMs are not familiar with your Python/Go codebase.

That was until I discovered 9Router.

What is 9Router? - The “switchboard” for your AI coding tools

Imagine this: you have Claude Code ($200/month) but rarely use up the quota, and you also have GitHub Copilot (paid by your company), plus a few API keys for DeepSeek and Gemini that are still unused. Each tool has its own endpoint, and each provider has its own configuration; when the quota is exhausted, it’s dead.

9Router is the switchboard that sits in the middle, receiving requests from your tools and automatically routing them to the suitable provider.

Install it once:

npm install -g 9router
9router

Done. The dashboard opens at http://localhost:20128/dashboard. Your tools point to http://localhost:20128/v1 - and that’s it.

The interface is OpenAI-compatible, so almost any AI coding tool can work with it: Claude Code, Codex, Cursor, Cline, Copilot (via MITM bridge).

3-Tier Fallback - Top-notch

This is what impresses me the most. 9Router divides providers into 3 tiers:

When you use Claude Code, requests usually go through Tier 1 (subscription). If Claude runs out of quota → it automatically falls back to Tier 2 (GLM $0.60) or Tier 3 (FREE). Zero downtime, zero reconfiguration.

Cost Calculation - Quantifiable Pain

I tried doing the math for a typical Vietnamese dev (like myself):

Method 1: Individual Subscriptions

• Claude Pro: $20/month - unlimited? No, there are hidden limits.
• Claude Max: $200/month - only worth it if you use it a lot.
• GitHub Copilot: $10-39/month.
• Total: $30-250/month 😱

Method 2: 9Router + FREE tier

• 9Router: Free, open-source.
• Claude Code subscription (already available through company or individual): Use up the quota and that’s it.
• Fallback to FREE providers: Qwen, Kiro, iFlow - use for simple tasks (grep code, explain function, write unit test).
• DeepSeek API key: $0.14/1M tokens (only use when a strong model is needed).
• Actual Total: $0-5/month outside of existing subscriptions.

RTK Token Saver - “Compress” your input by an additional 20-40%

9Router has a very “awesome” feature called RTK (Real-Time Token compression). It automatically compresses the tool_result content - things like output from git diff, ls -la, grep, tree - before sending it to the LLM.

Imagine you’re coding a large feature, and Claude Code has to read 47K tokens of output from git diff. RTK compresses it down to 28K tokens. Same context, same answer, same result - but only paying for 28K tokens instead of 47K.

Impressive numbers from the 9Router homepage:

• Input compression: −20–40% tokens
• Caveman Mode (output compression, 5 intensity levels): −65% tokens

Caveman Mode works by injecting system prompts to tell the LLM to answer more concisely: instead of writing a long paragraph, it only returns the result in a telegraphic format. “Why use many tokens when few do the trick” 🗿

Combat Setup - From Local to VPS

Local Installation - 2 minutes

# Global installation
npm install -g 9router

# Run
9router

Then open http://localhost:20128/dashboard, add provider keys. There are several FREE providers like iFlow, Kiro, OpenCode that don’t require any keys - OAuth browser cookie is enough to run.

Docker on VPS - For Team Use

Since 9Router runs locally by default, if you want to expose it to the entire team or use it from another machine, deploy it using Docker:

docker run -d \
  --name 9router \
  -p 20128:20128 \
  -v "$HOME/.9router:/app/data" \
  -e DATA_DIR=/app/data \
  decolua/9router:latest

For added security, run it behind a reverse proxy (Nginx/Caddy) with HTTPS + basic auth.

Note: If you expose it to the internet, remember to add authentication. The 9Router dashboard does not have default authentication - don’t foolishly open it directly to the outside.

Integration with Claude Code

# In your project
claude --proxy http://localhost:20128/v1 --api-key <key-from-dashboard>

Or configure it in the ~/.claude/settings.json file:

{
  "proxyUrl": "http://localhost:20128/v1",
  "apiKey": "..."
}

Claude Code will send requests through 9Router instead of calling Anthropic directly. 9Router will automatically route, fallback, and compress tokens.

Warning - There is no free lunch

I’m not selling 9Router or anything. There are a few points to note:

⚠️ Latency

• FREE tier often has rate limits and higher latency
• Route fallback may take 1-2 seconds to switch
• If you’re doing real-time pair programming, a subscription is still a better choice

⚠️ Trust & Security

• FREE providers are from China (iFlow, Qwen) - your code goes through their servers
• For sensitive tasks (production credentials, closed-source source code) - it’s best to restrict usage to subscription tiers
• 9Router runs locally, but when using the FREE tier, requests still go over the internet

⚠️ Model Quality

• FREE models can’t compare to Claude Sonnet 4 or GPT-4o
• They’re fine for simple tasks (refactoring, writing tests, grepping code)
• For complex tasks (architecture, major debugging) - it’s best to set a sticky route to a subscription

⚠️ Vendor Lock-in?

• 9Router is open-source (MIT), no lock-in
• All config is local, if you want to stop using it, just delete it, and your tools will point directly back to the original provider

What I think about 9Router?

Strengths:

• Open-source, 13K★ community on GitHub
• Installs in 2 minutes, zero configuration with most tools
• RTK token saver is truly effective - saves 20-40%
• Centralized management - one dashboard to monitor all providers
• Multi-account, round-robin, auto failover

Weaknesses:

• Dashboard does not have default authentication
• FREE tier providers are mostly from China (tech community still debates about privacy)
• RTK is still in beta, occasionally you need to turn it off if the output format is incorrect
• Cache and persistence are still manual (using Docker volume)

Who should use it?

• 🟢 Solo devs/freelancers who want to save costs
• 🟢 Small teams (3-10 people) who want a shared AI gateway
• 🟢 Those who want to try Claude Code / Codex without committing to $200/month
• 🟡 Enterprise teams - should have a security review beforehand
• 🔴 Security-sensitive individuals, code defense/fintech - should not use the FREE tier

Conclusion

9Router is not a silver bullet, but for Vietnamese developers - where $200/month is a significant amount - it is a lifeline.

Instead of having to choose between “using AI coding is too expensive” and “not using it would be a disadvantage”, you can:

1. Use the Claude Code subscription that is available for main tasks
2. Configure 9Router fallback for when the quota is exceeded
3. Enable RTK + Caveman Mode to reduce token burn by an additional 20-65%
4. Set up Docker on VPS for the entire team to use together
5. (Bonus: if using OpenClaw or any OpenAI-compatible tool, just configure the base URL to run)

I’ve been running this setup for 2 weeks. My AI coding cost this month: $0 outside of subscription. And I haven’t missed any tasks due to rate limits.

It just goes to show: sometimes it’s not about buying more, but about smarter routing. 🦞

References

• 9Router Official
• GitHub - decolua/9router
• 9Router Deep Dive - Agentpedia
• Claude Code Docs
• 9Router Docker Setup