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Alibaba Cloud Free Trial 2026: Everything You Get

liekeai — Sun, 30 Aug 2026 15:32:21 +0000

Free Trial Guide

Alibaba Cloud Free Trial 2026: Everything You Get

Updated August 22, 2026 · 5 min read

$200
in free cloud credits for new users

Claim Your Free Trial →

🔥 最新云服务器优惠汇总 — 阿里云99元/腾讯云88元，双云比价立即查看 →

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What's Included in the Free Trial

Alibaba Cloud's 2026 free trial package is one of the most generous in the industry:

| Benefit | Amount

| Cloud credits | $200

| AI tokens (Qwen3, DeepSeek, Wan) | 70 million+

| Image generations | 2,000

| Video generation seconds | 1,650

| Cloud products available | 80+

| Money-back guarantee | 30 days

AI Models You Can Try

Qwen3-Max — Alibaba's flagship large language model
DeepSeek V3 — Open-source reasoning model at $0.14/M input tokens
DeepSeek V4-Pro — Latest generation with peak/off-peak pricing
Qwen-Plus — Balanced performance and cost
Wan — Video generation model

How to Claim (3 Steps)

Create an account at Alibaba Cloud International
Verify your identity with a valid phone number
Claim credits — they appear in your account immediately

What Can You Build with $200?

Web Application
Run a 2C2G ECS instance for 4+ months

AI ChatbotProcess 100M+ tokens with DeepSeek V3

Static WebsiteHost on OSS with CDN for 12+ months

Video GenerationCreate 1,650 seconds of AI video

Partner-Exclusive Bonus

As an authorized Alibaba Cloud channel partner, Lieke Cloud can help you:

Choose the right services for your use case
Architect your cloud infrastructure for cost optimization
Access additional discounts beyond the free trial
Get priority technical support

Ready to start?

Claim your $200 free trial →

No credit card required to start. 30-day money-back guarantee.

Frequently Asked Questions

Who is eligible for the free trial?

New Alibaba Cloud International users who haven't previously registered. Individual and business accounts both qualify.

How long do credits last?

Credits are valid for use within the trial period. Unused credits expire after the trial ends.

Can I use credits on any service?

Most services are eligible, including ECS, OSS, RDS, CDN, and AI/Model Studio. Some marketplace products may be excluded.

What happens after the trial?

You can continue using pay-as-you-go or switch to subscription billing. No automatic charges without your consent.

Disclaimer: This page is maintained by Lieke Cloud, an authorized Alibaba Cloud channel partner. Free trial terms are set by Alibaba Cloud and may change. Links to Alibaba Cloud contain partner tracking codes.

Contact: lieke-promo@coze.email · Back to Home

AI Compute Boom: NVIDIA NVL72 Rack Revenue to Hit $710B by 2027 — What Cloud Buyers Should Do Now

liekeai — Sun, 30 Aug 2026 15:32:15 +0000

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1. $710 Billion: Why This Forecast Matters

TrendForce has just released a striking forecast: by 2027, combined revenue from NVIDIA NVL72 rack systems — spanning the GB300, VR200 and VR300 platforms — will exceed $710 billion, representing a 214% annual growth rate. For perspective, that figure rivals roughly one-third of today's global smartphone market revenue, generated by a single category: AI compute racks.

The takeaway for every business leader is simple: AI compute has moved from "experimental budget" to "core infrastructure". As models scale from hundreds of billions to trillions of parameters and AI agents multiply inference traffic, compute is becoming the electricity of the next decade.

What it means for startups and SMBs:

Hyperscalers are buying whole rack clusters — but 99% of companies neither need nor can afford that. On-demand cloud access is the only realistic way for ordinary teams to ride this wave.

2. Why Demand Is Exploding: From Training to Inference

In 2023–2024, GPU demand was driven mainly by model training. In 2026 the picture has flipped — inference now dominates. The reasons:

AI apps went mainstream: AI support, coding assistants, document and search products each trigger GPU inference on every user interaction
Agent explosion: a single agent task can fire dozens of model calls — 10–50× the compute of a one-shot question
Multimodal is the default: image, voice and video generation cost far more per token than text
Cheap models, massive call volume: value models like Qwen3.8-Flash at $0.15/M input tokens make AI calls affordable enough to drive Jevons-paradox usage surges

3. Buying GPUs vs. Renting Cloud: The Honest Math

| Dimension | Self-owned GPU servers | Cloud compute (on-demand)

| Upfront cost | $50K–$150K+ for a single 8-GPU training node; rack clusters are 7–8 figures | $0 to start, per-second/per-hour billing

| Time to deploy | Procurement, colocation, power and cooling: 2–6 months | Live in minutes from the console

| Idle cost | Depreciation runs 24/7; GPUs lose value fast (new gen every ~2 years) | Pay nothing when stopped; spot/preemptible instances at ~20–30% of on-demand

| Ops burden | Requires CUDA, RDMA networking and cooling expertise | Provider handles the stack; your team builds product

| Elasticity | Starved at peaks, wasted at troughs | Auto-scale up and release down

| Best fit | Hyperscale buyers running racks at 70%+ utilization year-round | Virtually every startup, dev team and enterprise

⚠️ Rule of thumb: unless your GPU utilization stays above ~70% with a dedicated ops team, owning hardware almost never beats cloud financially — and the 2-year GPU refresh cycle makes the depreciation risk brutal.

4. The Alibaba Cloud Compute Map: Pick Your Layer

Layer 1 — Just call the API: Model Studio (Bailian)

If you want AI features without touching GPUs, Model Studio (Alibaba Cloud's international model platform; 百炼 in China) hosts the full Qwen family — including the new Qwen3.8-Flash and Qwen3-Coder — with token-based billing and generous free quota. Perfect for AI support, content generation, RAG and agents.

Layer 2 — Developer productivity: Qoder

Engineering teams can adopt Qoder (6M+ users, Alibaba's agentic coding workspace) with a 14-day Pro trial including 300 Credits; Pro is $20/month (2,000 Credits) after the trial. Off-peak discounts run 75–90% off. Non-developers can drive it in plain English. Full details in our Qoder Review 2026.

Layer 3 — Deploy your own models: GPU ECS

Need to self-host open models (Llama, open-weight Qwen, Stable Diffusion) or run batch inference / fine-tuning? Use GPU cloud instances. Money saver: run dev, test and interruptible batch jobs on preemptible/spot instances — typically 20–30% of on-demand pricing. Use on-demand or subscription for stable production. International regions like Singapore serve global users; check live console pricing for instance types. See GPU Cloud Pricing 2026.

Layer 4 — Large-scale training: PAI + Lingjun clusters

Pretraining and large fine-tuning jobs needing thousands of interconnected GPUs run on Alibaba Cloud's PAI machine learning platform with RDMA-connected intelligent compute clusters. These are project-based engagements — talk to the cloud's architecture team for quotes.

5. August 2026 Offers You Can Use Today

| Offer | What you get | Best for

| $200 free credit | New Alibaba Cloud International accounts get $200 valid 30 days across ECS, GPU, OSS and more, plus 20+ always-free products | Overseas users, no Chinese ID needed, global regions

| Free model tokens | Model Studio free quota for the Qwen model family (70M+ tokens on the China site) | Any team adding AI features

| Qoder trial | 14-day Pro trial (300 Credits) + Pro plan $20/month (2,000 Credits) after the trial; off-peak rates | Developers and dev teams

| China ECS deals | Starter ECS from ¥38/year for new users (mainland accounts; ICP filing required for domains) | China-facing sites

Official offer pages (identical pricing to direct signup; links include our partner code):

$200 free credit (international): alibabacloud.com free trial
Model Studio / Bailian console: bailian.console.aliyun.com

6. Action Plan by Team Type

Indie devs: prototype free with Model Studio quota + the $200 credit; use Qoder Community at $0
Startups: serve inference on spot/on-demand GPU instances with auto-scaling; prefer model APIs over self-hosted GPUs
SME IT teams: lift traditional workloads to deal-priced ECS; integrate AI via APIs; consider GPU subscriptions only when private deployment is required
Training teams: rent GPU instances by the week/month for fine-tuning; go to PAI/Lingjun for pretraining-scale jobs — don't buy hardware

FAQ

How much do GPU cloud instances cost?
Billing is per instance type and usage time: on-demand, subscription (monthly/yearly) and preemptible spot — spot is cheapest for interruptible work. Exact live prices vary by region and instance; check the Alibaba Cloud console. Tip: burn the $200 free credit first to measure your real workload cost.
I'm not technical — can I still use Alibaba Cloud's AI?
Yes. Model Studio offers visual app builders for RAG chatbots and agents, and Qoder's general mode accepts natural-language tasks with no coding required.
International vs China site — which one?
Global users, overseas regions (e.g. Singapore) or no Chinese real-name verification → International ($200 credit). Mainland-China audience needing low-latency domestic regions → China site (domains require ICP filing). The two account systems are separate and offers don't cross over.
What does the $710B forecast mean for my budget?
Compute supply will stay tight and early commitments pay off — but cloud price competition favors buyers. The practical move: replace capital expenditure with operating expenditure, using the cloud's elasticity instead of fixed hardware purchases.

Further reading:

• GPU Cloud Pricing 2026: Instance Types & Cost Comparison

• Best Free Cloud Hosting 2026: $200 Credits + Free Tiers

• Qoder Review 2026: Alibaba's Agentic Coding Workspace

• 中文版：AI算力风暴与企业采购指南

AI Agent Platform Comparison 2026: Bailian vs. Dify vs. Coze — Which One Wins?

liekeai — Sun, 30 Aug 2026 14:54:54 +0000

AI Agent Platform Comparison 2026: Bailian vs Dify vs Coze | Lieke Cloud

Home / Documentation / AI & Agents

AI Agent Platform Comparison 2026: Bailian vs. Dify vs. Coze — Which One Wins?

Lieke Cloud Team·
August 2026·
10 min read

The AI agent platform landscape is exploding with options. Every vendor promises "build intelligent agents in minutes," but the reality varies dramatically in terms of capabilities, scalability, and enterprise readiness. In this comprehensive guide, we compare three leading platforms — Alibaba Cloud Bailian, Dify, and Coze — across key dimensions to help you make the right choice.

Build AI Agents with Enterprise-Grade Reliability

Alibaba Cloud Bailian: production-ready AI agent platform with channel pricing

[Explore AI Agent Platform →](https://dashi.aliyun.com/activity/aiagent?userCode=tzlh4rrj)
View AIGC Activities →

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1. Platform Overview

Alibaba Cloud Bailian

Bailian is Alibaba Cloud's comprehensive AI application development platform. It offers model serving, agent orchestration, RAG pipelines, and fine-tuning capabilities, all deeply integrated with Alibaba Cloud's infrastructure stack.

Dify

Dify is an open-source LLM application development platform that gained popularity for its visual workflow builder and support for multiple LLM providers. It can be self-hosted or used as a cloud service.

Coze

Coze is a platform for building AI chatbots and agents with a focus on ease of use and integration with social and messaging platforms. It targets both developers and non-technical users.

2. Feature-by-Feature Comparison

FeatureAlibaba Cloud BailianDifyCoze
Visual agent builder✓ Advanced✓ Good✓ Basic
Multi-model support✓ 20+ models✓ 50+ models✓ 10+ models
RAG (Knowledge Base)✓ Enterprise-grade✓ Good✓ Basic
Custom tool calling✓ Full framework✓ Plugin system✓ Plugin marketplace
Workflow orchestration✓ Visual + code✓ Visual✓ Visual
API deployment✓ Managed API gateway✓ Self-hosted / cloud✓ Bot API
VPC deployment✓ Yes✓ Self-hosted✗ No
Enterprise SLA✓ 99.9%Partial (cloud)✗ No
Fine-tuning support✓ Full pipeline✗ Limited✗ No
Observability & logging✓ Integrated Cloud Monitor✓ Basic✓ Basic

3. Deep Dive: Key Decision Factors

3.1 Enterprise Readiness & Security

For organizations in regulated industries, Alibaba Cloud Bailian has a clear advantage. It supports VPC deployment, data encryption at rest and in transit, IAM integration, and compliance certifications (ISO 27001, SOC 2, etc.). Dify can be self-hosted in your VPC, but you're responsible for security, updates, and maintenance. Coze is cloud-only and not designed for enterprise data isolation requirements.

3.2 Model Ecosystem

Dify supports the broadest range of models including OpenAI, Anthropic, Google, and Chinese providers. Bailian focuses on Alibaba Cloud's curated model catalog including DeepSeek, Qwen, Llama, and more — with optimized inference performance on Alibaba Cloud infrastructure. Coze has a smaller selection but covers the most popular models for chatbot use cases.

3.3 Agent Capabilities

All three platforms support basic agent patterns (tool use, retrieval, multi-step reasoning). Bailian stands out for complex, enterprise-grade agent scenarios with its support for multi-agent collaboration, persistent memory, and integration with AI acceleration services. Dify's workflow builder is excellent for marketing and customer support workflows. Coze excels at simple conversational agents and bot deployment to messaging platforms.

3.4 Cost Structure

PlatformPricing ModelEntry PointEnterprise Tier
BailianPay-as-you-go + model inferenceFree tier availableCustom + channel discounts
Dify CloudSubscription + token usageFree tier / $49/mo proCustom enterprise
Dify Self-hostedFree (community) / Enterprise licenseFree (open-source)$99+/mo per seat
CozeFreemium + token usageFree tierContact sales

Note: When total cost of ownership is considered — including infrastructure, DevOps, security, and support — Bailian often delivers the best value for enterprises already on Alibaba Cloud, especially with channel partner pricing.

Start Building AI Agents on Bailian

Production-ready platform with exclusive channel pricing

AI Agent Activity →
AIGC Zone →

4. Recommendation by Use Case

Enterprise Internal Tools & Data Analysis

Choose Bailian. Deep integration with Alibaba Cloud data services (OSS, RDS, MaxCompute), VPC isolation, and enterprise SLA make it the safest choice for internal business-critical agents.

Startup MVP & Rapid Prototyping

Choose Dify (open-source) or Coze. Fast to set up, flexible with model choice, and minimal upfront cost. Great for validating ideas before committing to a platform.

Customer Support Chatbots

Consider Coze or Dify. Both have strong conversational UI capabilities and easy integration with messaging platforms. Scale up to Bailian when enterprise requirements emerge.

Complex Multi-Agent Systems

Choose Bailian. Best support for multi-agent architectures, persistent memory, GPU acceleration, and integration with enterprise systems. The Agentic Computer initiative shows Alibaba's long-term commitment to AI agent infrastructure.

AI-Native SaaS Products

Choose Bailian or self-hosted Dify. Bailian provides the most production-ready platform with managed scalability. Self-hosted Dify gives you full control but requires significant DevOps investment.

5. Migration Path: Starting Small, Scaling Up

Many organizations start with simpler platforms and migrate as their needs evolve. Here's a recommended progression:

Phase 1 (Prototype): Build initial agent with Coze or Dify to validate use case

Phase 2 (Pilot): Migrate to Bailian for production pilot with 10–50 users
Phase 3 (Scale): Full deployment with VPC isolation, custom models, and channel pricing
Phase 4 (Optimize): Fine-tune models, implement observability, and optimize costs

Frequently Asked Questions

Can I switch platforms later?

Yes, but with effort. The agent logic itself is somewhat portable, but knowledge bases, integrations, and custom tools need to be re-implemented. Choosing the right platform early saves significant migration cost.

Do I need to know how to code to use these platforms?

All three platforms offer no-code/low-code visual builders for basic agents. However, for production-grade agents with custom tools, integrations, and complex workflows, coding skills are essential regardless of platform.

How does pricing work with a channel partner?

Working with an authorized channel partner gives you discounted rates on Alibaba Cloud services including Bailian. The discount varies based on usage volume and contract terms. It's typically 10%–30% below list price.

What about open-source agent frameworks like LangChain?

Frameworks like LangChain and LlamaIndex are code-first alternatives that give you maximum flexibility but require significant engineering effort. They're great for teams with strong AI engineering capabilities. Platforms like Bailian accelerate time-to-market by providing managed infrastructure and pre-built components.

All Alibaba Cloud Products & Offers

    General OffersAll ActivitiesClient ExclusiveProduct CatalogScene OffersECS SpecialsDeepSeek ECSAIGC ZoneAI AgentOSS StorageWuying Cloud PCWuying Free TrialWuying ProductWuying GPUAI AccelerationWebsite Builder

Qoder Review 2026: Is Alibaba Cloud's AI Coding Agent Worth It?

liekeai — Sun, 30 Aug 2026 14:45:37 +0000

Honest take after hands-on testing: Alibaba Cloud's Qoder is the best-kept secret in AI coding tools — and here's why it deserves a spot in your workflow.

What Is Qoder?

Qoder is Alibaba Cloud's agentic AI coding platform. It pairs a real cloud development environment (it provisions an actual cloud workspace) with multi-model agent orchestration. Unlike a chatbot bolted onto your editor, Qoder runs as a coding agent that can plan, edit multiple files, run terminals, execute tests, and iterate on failures.

International pricing (standard monthly rates, August 2026):

Plan	Price	Credits / highlights
Free	$0	2-week Pro trial with 300 credits, then a limited free tier (BYOK supported)
Pro	$20/month	2,000 credits, Quest mode, Repo Wiki
Pro+	$60/month	6,000 credits, priority access
Ultra	$200/month	20,000 credits
Teams	$40/seat/month	3,000 credits per seat

Mainland China (qoder.com.cn): free tier with 2-week Pro trial (300 credits); Pro ¥59/month (2,000 credits), Pro+ ¥169/month (6,000 credits).

What Actually Impressed Me

1. Repo-wide understanding, not snippet guessing. Point Qoder at a codebase and it builds a task graph across files. On a mid-size Python service, its cross-file refactors landed correctly far more often than autocomplete-style tools.

2. Real agent loops. It doesn't stop at "here's the diff." It runs the build, reads the errors, fixes them, reruns. A full feature branch end-to-end took roughly one coffee break instead of an afternoon.

3. Cloud workspace built in. No local environment hell — the agent gets its own sandboxed environment with the toolchain pre-provisioned. You review work rather than babysit setup.

4. Model choice matters and Qoder gives you it. You can route tasks between models depending on complexity — cheap fast models for boilerplate, frontier reasoning models for hard architecture work.

Where It Still Falls Short

Early-platform rough edges: UI polish lags established editors; some advanced configs need docs diving.
Ecosystem younger: extension/plugin ecosystem is nowhere near the incumbent.
Chinese-market-first roadmap: some docs surface Chinese-first; English docs are catching up.

Who Should Switch Today?

Solo founders & indie hackers: the free tier covers a lot, and Pro at $20/month costs less than one hour of your time.
Teams already on cloud (especially Alibaba Cloud customers): workspace provisioning and billing integration is a natural fit.
Anyone drowning in boilerplate CRUD/test work: that's where agentic loops pay back fastest.

The Honest Verdict

Qoder won't replace a senior engineer's judgment on architecture. But for the 70% of engineering work that is well-specified implementation, test fixing, and cross-file plumbing, an agentic platform that actually runs the code — starting at $20/month after a free 2-week Pro trial — is a hard value proposition to argue with.

New users can grab Alibaba Cloud startup coupons that cover Qoder credits and basic cloud resources at the Alibaba Cloud SMB deals page. Mainland users: Alibaba Cloud new-user ECS deals.

Independent review by Lieke Tech — cloud deals and dev-tool comparisons. Full version with benchmarks: lieke-ai.com.