What is AI Coding Plan? A Complete Guide for Developers

Mar 25, 2026

I was shocked when I saw my OpenAI API bill last month—$87 for coding assistance alone. I use Cursor 6-8 hours daily, and the pay-per-token pricing was destroying my budget. Every complex refactoring, every “explain this code” request, every generate-tests session added dollars to my bill unpredictably.

Then I discovered AI Coding Plans from Chinese cloud providers. Fixed monthly fees. Predictable costs. Same quality models. Now I pay ¥40/month (about $5.50) instead of $80+. Here’s what I learned.

The Problem: Unpredictable Token Costs

Traditional LLM API pricing is a budgeting nightmare:

GPT-4 usage:         $45.00
Claude usage:        $28.50
Gemini usage:        $13.50
---------------------------
Total:               $87.00

And I never knew what next month would bring...

The pay-per-token model works fine for occasional users. But for developers who live in their IDEs with AI assistants running constantly, it’s financially unsustainable.

I tried limiting my AI usage. I rationed questions. I stopped asking for code explanations. But that defeated the entire purpose of having an AI assistant.

The Solution: Fixed Monthly Coding Plans

Chinese cloud providers introduced a revolutionary pricing model: Coding Plans.

Instead of charging per token, they charge a fixed monthly fee for a set number of API requests. The key insight: most coding tasks use similar amounts of tokens, so you can predict costs based on request counts.

┌─────────────────────────────────────────────────────────────┐
│ Provider        │ Plan    │ Price    │ Requests/mo │ Models │
├─────────────────────────────────────────────────────────────┤
│ Alibaba Bailian │ Lite    │ ¥40      │ 18,000      │ Multi  │
│ Volcano Engine  │ Starter │ ¥29      │ 10,000      │ Multi  │
│ Zhipu           │ Basic   │ ¥39      │ 15,000      │ GLM-5  │
│ MiniMax         │ Lite    │ ¥35      │ 12,000      │ M2.5   │
│ Baidu Qianfan   │ Dev     │ ¥45      │ 20,000      │ ERNIE  │
│ Tencent Cloud   │ Starter │ ¥38      │ 16,000      │ Multi  │
└─────────────────────────────────────────────────────────────┘

Multi-model access is the killer feature. One subscription gives you access to multiple top-tier models:

Qwen 3.5 Plus (Alibaba)
GLM-5 (Zhipu)
Kimi K2.5 (Moonshot)
MiniMax M2.5
DeepSeek V3

All for the price of a single lunch.

Why This Matters: The Math

Let me show you the cost comparison:

Scenario: 1,000 coding sessions per month
Average tokens per session: 4,000 input + 1,000 output

PAY-PER-TOKEN (GPT-4):
  Input:  1,000 × 4,000 × $0.03/1K = $120
  Output: 1,000 × 1,000 × $0.06/1K = $60
  Total: $180/month

CODING PLAN (Alibaba Lite):
  Fixed fee: ¥40 ≈ $5.50
  Requests: 18,000 (covers 1,000 sessions easily)
  Total: $5.50/month

SAVINGS: 97%

Even comparing to cheaper models like GPT-3.5 or Claude Instant, Coding Plans still save 70-85%.

The predictability is priceless for freelancers and small teams. I know exactly what my AI coding budget will be next month, next quarter, next year.

Setting Up: Step by Step

I’ll walk you through setting up an Alibaba Cloud Bailian Coding Plan with Cursor.

1. Go to https://www.aliyun.com/product/bailian
2. Sign up/login with Alipay or phone
3. Navigate to "模型服务" → "模型广场"
4. Select "编程专用" (Coding Plans)
5. Choose Lite plan (¥40/month, 18,000 requests)
6. Complete payment

Step 2: Get Your API Key

# In Alibaba Cloud console:
# 1. Go to 控制台 (Console)
# 2. Navigate to API-KEY管理
# 3. Click "创建新的 API Key"
# 4. Copy and save securely

# Your key will look like:
# sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx

Step 3: Configure Your AI Tool

For Cursor:

# Open Cursor Settings (Cmd/Ctrl + ,)
# Navigate to Models section
#
# OpenAI API Key: sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
# OpenAI Base URL: https://dashscope.aliyuncs.com/compatible-mode/v1
#
# Override OpenAI Base URL: Enable
#
# Add custom models:
# - qwen-3.5-plus
# - glm-5-plus (if available in your plan)
# - deepseek-chat (if available)

For Windsurf:

# Edit ~/.windsurf/config.json

{
  "openai": {
    "api_key": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
    "base_url": "https://dashscope.aliyuncs.com/compatible-mode/v1"
  },
  "models": {
    "default": "qwen-3.5-plus",
    "alternatives": ["glm-5-plus", "deepseek-chat"]
  }
}

For Cline (VS Code extension):

# In VS Code with Cline installed:
# 1. Open Cline sidebar
# 2. Click settings icon
# 3. Select "OpenAI Compatible" provider
# 4. Enter:
#    - Base URL: https://dashscope.aliyuncs.com/compatible-mode/v1
#    - API Key: sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
#    - Model: qwen-3.5-plus

Step 4: Verify It Works

In Cursor:
1. Open any file
2. Press Cmd+K (or Ctrl+K)
3. Type: "Explain this function"
4. If you get a response, you're set!

Check your usage:
1. Go back to Alibaba Cloud console
2. Navigate to 使用明细
3. See your request count decreasing

Common Mistakes to Avoid

Mistake 1: Confusing IDE Plugins with Coding Plans

❌ WRONG:
Tongyi Lingma plugin = Alibaba Coding Plan

✅ CORRECT:
Tongyi Lingma = Standalone IDE plugin with its own pricing
Coding Plan = API access compatible with ANY tool

They're different products!

IDE plugins like Tongyi Lingma (通义灵码) and Baidu Comate (文心快码) are standalone products. They have their own pricing and only work within supported IDEs.

Coding Plans give you API access. You can use them with Cursor, Windsurf, Cline, Continue, or even your own custom scripts.

Mistake 2: Ignoring Rate Limits

Lite plans typically have:
- 60 requests/minute (RPM)
- 40,000 tokens/minute (TPM)

Pro plans typically have:
- 120 requests/minute (RPM)
- 80,000 tokens/minute (TPM)

Heavy refactoring sessions might hit these limits.

I hit rate limits during massive refactoring sessions. The solution: either upgrade to a Pro plan or simply wait 60 seconds. For normal coding, Lite plans are plenty.

Mistake 3: Not Tracking Usage

Lite Plan: 18,000 requests/month
= ~600 requests/day average

My actual usage:
- Light days: 200-300 requests
- Heavy days: 800-1,200 requests (debugging marathons)
- Average: 450 requests/day

Conclusion: Lite plan is perfect for me

Monitor your usage the first month. If you consistently exceed 500 requests/day, consider upgrading to a Pro plan.

Provider Comparison: Which One to Choose?

After testing all major providers, here’s my assessment:

┌──────────────┬────────────┬─────────────┬─────────────┬──────────┐
│ Provider     │ Price      │ Performance │ Reliability │ Support  │
├──────────────┼────────────┼─────────────┼─────────────┼──────────┤
│ Alibaba      │ ⭐⭐⭐⭐⭐ │ ⭐⭐⭐⭐     │ ⭐⭐⭐⭐⭐   │ ⭐⭐⭐⭐  │
│ Volcano      │ ⭐⭐⭐⭐⭐ │ ⭐⭐⭐⭐⭐   │ ⭐⭐⭐⭐    │ ⭐⭐⭐⭐  │
│ Zhipu        │ ⭐⭐⭐⭐   │ ⭐⭐⭐⭐⭐   │ ⭐⭐⭐⭐⭐   │ ⭐⭐⭐⭐  │
│ MiniMax      │ ⭐⭐⭐⭐⭐ │ ⭐⭐⭐⭐     │ ⭐⭐⭐⭐    │ ⭐⭐⭐    │
│ Baidu        │ ⭐⭐⭐⭐   │ ⭐⭐⭐⭐     │ ⭐⭐⭐⭐⭐   │ ⭐⭐⭐⭐⭐ │
└──────────────┴────────────┴─────────────┴─────────────┴──────────┘

My recommendation for beginners: Start with Alibaba Bailian or Volcano Engine. They have the best documentation, most reliable uptime, and widest model selection.

For advanced users: Zhipu’s GLM-5 is excellent for Chinese-language coding tasks. Volcano Engine (ByteDance) has the fastest response times.

The Future: Where This Is Going

AI Coding Plans represent a fundamental shift in how developers access LLMs:

Commoditization: Models are becoming utilities. Price wars benefit developers.
Ecosystem integration: More tools will support OpenAI-compatible APIs out of the box.
Specialized plans: Expect plans tailored for specific use cases (code review, testing, documentation).
Team plans: Enterprise tiers for companies with dozens of developers.

The trend is clear: fixed pricing is the future of AI-assisted development.

Getting Started Checklist

□ Choose a provider (I recommend Alibaba for beginners)
□ Subscribe to a Lite/Starter plan
□ Generate and save your API key securely
□ Configure your preferred AI tool (Cursor, Windsurf, etc.)
□ Test with a simple request
□ Monitor usage for 1 week
□ Adjust plan tier if needed
□ Cancel old pay-per-token subscriptions
□ Enjoy predictable AI coding costs

Why Chinese providers are cheaper:

Government subsidies for AI development
Lower labor costs
Aggressive market competition
Volume-based wholesale pricing from model creators

OpenAI API compatibility: Most Chinese providers implement the OpenAI API format, making integration trivial. Your existing code probably works with just a base URL change.

Multi-tenant architecture: Coding Plans share infrastructure across thousands of users, enabling economies of scale impossible for individual subscriptions.

Final Thoughts

AI Coding Plans have transformed my development workflow. I no longer hesitate to ask questions, request refactoring, or generate tests. The flat monthly fee removed the mental friction of “is this question worth $0.50?”

For any developer using AI tools daily, Coding Plans aren’t just a nice-to-have—they’re essential infrastructure. Start with a one-month trial. Track your usage. You’ll likely find that you’ve been overpaying for AI assistance by 5-10x.

The best part? The quality is comparable to or better than GPT-4 for coding tasks. These Chinese models have been trained extensively on codebases and understand programming patterns deeply.

Stop rationing your AI usage. Start building faster with predictable costs.

Final Words + More Resources

My intention with this article was to help others share my knowledge and experience. If you want to contact me, you can contact by email: Email me

Here are also the most important links from this article along with some further resources that will help you in this scope:

Oh, and if you found these resources useful, don’t forget to support me by starring the repo on GitHub!