Alibaba Cloud Model Studio / Qwen API
A finite allowance for new accounts; it does not recur.
Models mentioned
The offer covers a dynamic catalog, provider-selected route, or model class without stable model IDs in this snapshot.
Equivalent paid value
How this was valued: The published allowance or a defensible paid comparison is not precise enough to calculate.
Per-model trial quotas and prices are dynamic and are not captured as an exact auditable model snapshot in this record.
Limits and terms
- Duration Days
- 90
- Basis
- Each eligible model has its own token quota; existing models start at account activation and newly released models start at release.
- Recurrence
- No
What happens to your prompts?
Alibaba excludes training without consent, but request data is stored regionally and third-party model terms can differ.
- Plan Scope
- Alibaba Cloud Model Studio international service, including Qwen and third-party models; console history and stateful features differ from stateless inference.
- Prompt Retention
- Inference request data is stored in the selected access region while transient forwarding data is not persisted. Playground conversation history can remain without a stated time limit until manually deleted.
- Response Retention
- Model Studio outputs are Member Content and can be stored by selected features; stateless inference transmission is described as transient.
- Ordinary Logging
- Alibaba Cloud may monitor service use for compliance and can apply automated content-detection mechanisms; billing and token-usage statistics are retained.
- Model Training
- Alibaba Cloud states it does not use Member Content or customer business data to develop or improve Model Studio models without separate explicit consent.
- Product Improvement
- Content-based model development requires consent; ordinary cloud telemetry and automated security processing remain permitted.
- Human Or Operator Access
- The product terms allow security monitoring and processing for service delivery and compliance but do not publish a universal operator-blind commitment.
- Subprocessors And Routing
- Content may be transferred to and processed where Alibaba Cloud, affiliates, or subcontractors operate Model Studio. Third-party models have separate provider terms and risks.
- Deletion Controls
- Playground histories can be manually deleted. Alibaba Cloud can remove stored content on suspension or termination, and customers must maintain their own backups.
- Caveat
- Storage location and inference scope are region-dependent and may involve cross-border transfer. Selecting a third-party model adds independent terms not covered by Alibaba's no-training statement.
Governing documents
Eligibility
- Account Required
- Yes
- Payment Method Required
- conditional
- Caveat
- Official docs say new-user quotas can be used without payment, but some accounts may be required to add payment information to unlock quota.
- New User Only
- Yes
Primary sources
Before you build with Alibaba Cloud Model Studio / Qwen API
Read the classification narrowly
This record has current first-party evidence for some zero-cost hosted inference. The label describes the bounded offer supported by evidence on 2026-09-19; it does not guarantee permanence, production suitability, uptime, latency, model quality, or access from every region.
Resolve the live model route
No stable model ID is recorded. The offer may use a dynamic catalog, a provider-selected route, or a model class, so resolve the current machine-readable ID before writing a fixed production configuration. No stable base endpoint is published in this record, so use the linked provider documentation to identify the current request URL and protocol.
Confirm account and billing boundaries
An account is required, so public catalog evidence cannot by itself prove the limits, balance, or billing behavior attached to your workspace. The payment-card requirement is conditional or not clearly documented. Treat signup friction and billing exposure as unresolved until the account flow confirms them. The equivalent paid value shown here prices a documented allowance where possible; it is not cash, guaranteed savings, or protection from overage.
Re-read the prompt policy for your plan
This record classifies the reviewed handling as “Partially private”: Alibaba excludes training without consent, but request data is stored regionally and third-party model terms can differ. Provider policies can distinguish free, paid, enterprise, opted-in, and feature-specific traffic, so verify the governing terms for the exact account and route that will receive your data.
Follow the evidence, then re-check it
The record links 14 first-party sources covering the offer, catalog, limits, pricing, terms, privacy, or adoption evidence available to the audit. Prefer the newest governing document or live catalog when sources disagree, and submit a correction when a provider changes a material term.
Match the quota to the workload shape
Translate the published allowance into the traffic pattern you actually expect instead of comparing headline totals alone. A daily token pool can look generous while a low requests-per-minute or concurrency ceiling blocks interactive bursts; a high request limit can still fail a long-context job when input, output, or per-request tokens are capped. Separate prompt tokens from generated tokens, include retries and tool calls, and test the largest realistic payload. If the provider documents more than one limit window, the tightest window at your peak load is the practical ceiling. Research, experimental, and community access can also carry eligibility or fair-use constraints that cannot be modeled as a simple number.
Plan fallback without changing the rules
A fallback should preserve more than API syntax. Confirm that the substitute route supports the required modality, context length, streaming behavior, structured output, tools, and safety controls, then compare its prompt-retention and training terms. An OpenAI-compatible request shape does not make providers operationally or contractually equivalent. Decide which errors may trigger a retry, cap retry storms, and prevent an exhausted free route from silently switching to a billable model. If deterministic output matters, record the model revision and sampling settings; rotating aliases and free-model pools can change behavior even when the endpoint remains available.
Monitor the offer as a dependency
Capture the model ID, response model field, rate-limit headers, usage fields, latency, HTTP status, and any provider request identifier for each test. Watch for authorization failures, quota exhaustion, catalog removal, policy revisions, and dashboard balance changes as separate failure modes. Re-check the provider’s live catalog and governing pages on a schedule proportionate to the workload’s importance, and keep the dated sources that supported your decision. Free capacity is especially suitable for prototypes, evaluations, fallbacks, and bounded workloads when the application can tolerate change; a production dependency still needs observability, an exit path, and an owner responsible for re-verification.
Test one complete request before scaling
Start with the smallest permitted request using the exact credential, model ID, endpoint, and account type you intend to deploy. Record the HTTP status, response headers, usage fields, latency, and any dashboard balance change. Then exercise the failure path: an invalid model, an exhausted quota, or a rate-limit response should fail clearly without silently switching to a paid route. If the provider supports streaming or tool calls, validate those features separately because a free model can expose a narrower capability set than its paid counterpart. Keep a budget ceiling outside the application whenever billing is possible, and avoid sending sensitive data until the observed route matches the reviewed data agreement.