Chinese people are not willing to pay for saas, how does Chinese models plan to monetize ?

The observation that Chinese consumers have a low willingness to pay for software subscriptions is accurate, and AI labs have built their monetization strategies around this reality. Rather than fighting this habit, they are bypassing the consumer subscription model almost entirely.

Instead of asking users to pay, Chinese AI labs are turning their models into a "Token Factory" —a utility that monetizes at the infrastructure level, not the application level -7.

Here is how they plan to monetize:

1. MaaS APIs: The Primary Engine (B2B)

This is the "default" successful model in China. Instead of selling software, they sell intelligence as a utility (tokens) via APIs. This allows them to capture value from enterprises and developers, bypassing the individual consumer entirely -6.

• Proof of Success: Zhipu AI is leading this charge. Its MaaS API platform reached an ARR of RMB 1.7 billion (approx. $250M) in 2025, growing 60x year-over-year -2-8.
• Pricing Power: Unlike typical price wars, strong models are raising prices. Zhipu raised API prices by 83% in early 2026, yet demand remained "supply exceeds demand," with calls growing 400% -4-9.

2. The "Trojan Horse" Strategy (Consumption Zones)

Rather than charging for the AI chat, labs integrate the AI into shopping or productivity scenarios where users are already willing to spend money.

• E-commerce Integration: Doubao (ByteDance) and Kimi embed shopping links (e.g., to Douyin/TikTok shops or Taobao) directly into chat replies -5. They take a cut of the transaction. The AI becomes a sales channel, not a subscription fee -1.
• Productivity Bundling: Alibaba and Baidu are using MaaS to boost their Cloud revenue. Enterprises pay for cloud computing, and the AI is the value-added feature driving that spend -1.

3. Vertical Agents with Clear ROI (Coding & Enterprise)

For B2B, they are selling labor replacement, not just software. They charge for tasks completed, not just time used.

• AI Coding: This is the "killer app." Zhipu’s coding plan saw developer subscriptions hit 242,000, and they raised prices by 30% (usage still surged) because it saves engineering hours -4-8.
• Long-Horizon Tasks: New "Claw Plans" (AI agents that work for hours autonomously) saw subscriptions exceed 400,000 in 20 days—validating that businesses will pay for results -8.

4. Consumer "Freemium" to Filter Power Users

While most users stay free, labs are quietly adding high-end tiers for heavy users to capture surplus value from the top 1% without scaring away the masses.

• Doubao’s Tiered Plan: Despite massive free usage, Doubao just launched three paid tiers (up to $70/month) focused on complex tasks like data analysis and video generation—areas a casual user doesn't need -7.
• Telecom Bundles: Even traditional carriers like China Telecom are joining, offering token packages (e.g., 10M tokens for ~$1.45) bundled with connectivity -10.

💡 The Verdict

Chinese AI models are monetizing by turning intelligence into an invisible utility (tokens) rather than a visible subscription (SaaS). They make money when a developer builds an app, a shop sells a product via AI recommendation, or a coder automutes a task—not when a user simply "chats."

Does this distinction between "utility monetization" (China/APIs) and "subscription monetization" (US/ChatGPT) clarify the strategy for you?