Startup Teams Must Read: How to Use Free AI Credits in 2026 to Rapidly Build Product Prototypes
Reading time: 10 minutes
Audience: Startup teams, technical co-founders, product managers
Savings effect: Launch your AI project at $0 and validate the idea
TL;DR
What do startups fear most? Running out of cash before the product is built.
In 2026, this problem has a solution.
We used the free Coding Plans of 12 cloud vendors to build an AI writing assistant prototype at zero cost, and validated PMF (Product-Market Fit) in 3 months.
Cost-saving recipe:
- DeepSeek: primary model (largest free credits)
- Volcano Ark: multi-model A/B testing
- Kimi: Chinese content generation
- Zhipu AI: enterprise-grade stability
👉 Claim the summary of 12 cloud vendors' free Coding Plans
Our Startup Story
Background
We are a 3-person technical team, planning to build an AI writing assistant.
The problem:
- No investment
- High server costs
- Even higher API call costs
If we went the traditional route:
- Server: ¥2,000 ($280) / month
- OpenAI API: ¥5,000 ($700) / month
- Other expenses: ¥1,000 ($140) / month
- Total: ¥8,000 ($1,120) / month
3 months would burn through ¥24,000 ($3,360), and we wouldn't even know if the idea worked.
The Turning Point: Discovering Coding Plans
While researching API solutions, I stumbled on the concept of "Coding Plans."
In plain English: "trial packs" that various cloud vendors offer to startup teams.
Including:
- ✅ Free API call credits
- ✅ Discounted compute resources
- ✅ Exclusive developer tools
- ✅ Technical support channels
I realized: this might be my chance to start up.
12 Coding Plans Side-by-side Comparison
I organized a summary table. Source: python-office.com/openclaw/coding-plan/
| # | Vendor | Product | Startup-Friendly | Free Tier |
|---|---|---|---|---|
| 1 | DeepSeek | DeepSeek | ⭐⭐⭐⭐⭐ | Largest |
| 2 | ByteDance | Volcano Ark | ⭐⭐⭐⭐⭐ | Has credits |
| 3 | Moonshot AI | Kimi | ⭐⭐⭐⭐⭐ | Has free tier |
| 4 | Zhipu AI | GLM series | ⭐⭐⭐⭐⭐ | Has free calls |
| 5 | Alibaba Cloud | Bailian / Model Studio | ⭐⭐⭐⭐ | Has free tier |
| 6 | Tencent Cloud | Tencent Cloud | ⭐⭐⭐⭐ | Has free tier |
| 7 | iFlytek | iFLYTEK Spark | ⭐⭐⭐⭐ | Has free tier |
| 8 | MiniMax | MiniMax | ⭐⭐⭐⭐ | Has free tier |
| 9 | Baidu Cloud | Baidu Cloud | ⭐⭐⭐ | Has free tier |
| 10 | JD Cloud | JD Cloud | ⭐⭐⭐ | Has free tier |
| 11 | China Mobile Cloud | China Mobile Cloud | ⭐⭐⭐ | Has free tier |
| 12 | Xiaomi | MiMo | ⭐⭐⭐ | Has free tier |
Note for international readers: This table is China-vendor-focused. For a global perspective, the equivalent free/cheap tiers are:
- OpenAI ($5 free credit for new accounts)
- Anthropic Claude (free tier on claude.ai, free credits for API)
- Google Gemini API (free tier with rate limits)
- Mistral AI (free tier for experimentation)
- Groq (extremely fast inference with generous free tier)
- Together AI ($5 free credit for new accounts)
- Cohere (free trial credits)
Startup Team Selection Plan
Tier 1: Top Picks for Startups
1. DeepSeek (Top Pick for Startup Teams)
Why choose it:
- Free credits: Largest among mainstream vendors
- Price: 1/10 of competitors
- Performance: DeepSeek-V3 on par with GPT-4o
- Open source: Can be self-hosted
Startup scenarios:
- Quick MVP development
- User validation phase
- Cost-sensitive projects
Real case:
Our AI writing assistant MVP, built with DeepSeek:
- Development time: 2 weeks
- API cost: ¥0 (within free credits)
- User validation: 500 seed users
- Conclusion: PMF validated
How to get it: DeepSeek free credit application tutorial
2. Volcano Ark (Multi-model A/B Testing)
Why choose it:
- Many models supported: Doubao, GLM, DeepSeek, Kimi, MiniMax
- No tool usage restrictions
- A/B testing friendly
Startup scenarios:
- Unsure which model fits best
- Need rapid iteration
- User feedback driven
3. Zhipu AI (Enterprise-grade Needs)
Why choose it:
- Tsinghua background, strong technical capabilities
- Enterprise version is very stable
- Great for B2B products
Startup scenarios:
- B2B SaaS products
- Enterprise customers
- Need high stability
Tier 2: Specific Scenarios
4. Kimi (Chinese Content Products)
Startup scenarios: Chinese writing, content creation, long-document processing
5. Alibaba Bailian (E-commerce Startups)
Startup scenarios: E-commerce AI tools, Alibaba ecosystem products
6. Tencent Hunyuan (WeChat Ecosystem)
Startup scenarios: Mini-programs, WeChat Work, social AI
Our Zero-Cost Setup
Tech Architecture
1 | Frontend: Vue 3 + Tailwind CSS (open source, free) |
Total cost: $0
Cost Comparison
| Approach | Traditional | Our Approach | Savings |
|---|---|---|---|
| Server | ¥2,000 / month | $0 | 100% |
| OpenAI API | ¥5,000 / month | $0 | 100% |
| Other | ¥1,000 / month | $0 | 100% |
| Total | ¥8,000 / month | $0 | 100% |
3-Month Results
- ✅ Validated PMF
- ✅ 500 seed users
- ✅ 15% paid conversion
- ✅ Raised $200K seed round based on the prototype
- ✅ Now paying customers, monthly revenue ¥30,000 ($4,200)
Final Words
In 2026, the cost of starting an AI project has dropped to near zero.
The barriers that used to exist—computing, data, models—are all being commoditized by cloud vendors competing for startup mindshare.
The new moat is not technology. It's product insight, user understanding, and execution speed.
If you have an AI startup idea, 2026 is the best year in history to start. The free credits are waiting. The open-source models are waiting. The only thing missing is you.
Ship the MVP in 2 weeks. Validate in 4 weeks. Decide in 8 weeks.
That's the new startup tempo.
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