---
title: "Alibaba Cloud Model Studio / Qwen API free inference"
description: "A finite allowance for new accounts; it does not recur."
canonical_url: "https://freeinferencing.com/provider/qwen_cloud/"
md_url: "https://freeinferencing.com/provider/qwen_cloud.md"
last_updated: "2026-09-19"
---

# Alibaba Cloud Model Studio / Qwen API

> A finite allowance for new accounts; it does not recur.

## Classification

- **Directory:** Current
- **Free access:** One-time trial
- **Status:** Current trial
- **Confidence:** High
- **Payment card:** Unknown
- **Account:** Required
- **Equivalent paid value:** Not quantifiable


## Models mentioned

No stable model IDs were recorded in this snapshot.

## Limits and terms

```yaml
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: false
```

## What happens to your prompts?

**Partially private.** Alibaba excludes training without consent, but request data is stored regionally and third-party model terms can differ.

Privacy is audited separately from price. Review the current governing terms before sending sensitive or regulated data.

## Data governance and agreements

```yaml
data_governance:
  review_status: reviewed
  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.
agreements:
  product_terms: https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-product-terms-of-service-v-3-8-0
  privacy_policy: https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-privacy-policy
```

## Eligibility

```yaml
account_required: true
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: true
```

## API compatibility and modalities

- **Compatibility:** Dashscope Native, OpenAI Compatible
- **Modalities:** Model inference


## Before you build with Alibaba Cloud Model Studio / Qwen API

### Read the classification narrowly

This record 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 account and region. “One-time trial” should be interpreted together with the Current directory placement, High confidence, Unknown payment-card status, and the plan-specific sources below.

### Resolve the live model route

No stable model ID is recorded. Resolve the current machine-readable ID, endpoint, authentication method, and request shape from the provider's live documentation before writing fixed production configuration.

### Match the quota to the workload shape

Translate the allowance into peak requests per minute, input and output tokens, concurrency, retries, and every daily or monthly ceiling that applies to the intended account. The first limit reached by the workload is the practical ceiling. A large token pool can still fail interactive bursts, and a high request limit can still fail long-context work. Include tool calls and retry traffic, test the largest realistic payload, and treat research, experimental, and community access as conditional on their eligibility and fair-use terms.

### Preserve billing and privacy boundaries

The recorded payment-card requirement is Unknown, and account access is required. Confirm both in the live signup flow, set provider-side budgets when charges are possible, and observe the balance or usage fields after a complete request. The prompt-handling classification is **Partially private** because Alibaba excludes training without consent, but request data is stored regionally and third-party model terms can differ. Re-read the terms for the exact route and plan before sending sensitive, regulated, or proprietary content.

### Follow the evidence, then re-check it

This record links 14 first-party sources covering the offer, catalog, limits, pricing, terms, privacy, or adoption evidence available to the audit. Prefer the newest and most specific governing document or live catalog when sources disagree. A dated finding can become stale even when the page remains online, so retain the source and snapshot that supported the decision and submit a correction when a provider changes a material term.

### Plan fallback without policy drift

A fallback should preserve modality, context length, streaming, structured output, tools, safety controls, and data terms, not only API syntax. Decide which errors may retry, cap retry storms, and prevent an exhausted free route from silently switching to a billable model. Rotating aliases and free pools can change behavior without changing the endpoint, so retain the response model field and test at least one substitute route before the primary offer becomes unavailable.

### Monitor the offer as a dependency

Capture the model ID, response model, rate-limit headers, usage fields, latency, HTTP status, and provider request identifier. Watch authorization failure, quota exhaustion, catalog removal, policy revision, and balance movement as separate failure modes. Re-check the live catalog and governing sources on a schedule proportionate to the workload's importance, and keep an owner and exit path for any production dependency on volatile free capacity.

### Test one complete request before scaling

Start with the smallest permitted request using the exact credential, model ID, endpoint, region, and account type intended for deployment. Record the status, headers, usage fields, response model, latency, and dashboard balance movement. Then exercise an invalid model, quota exhaustion, or rate limit so failure is explicit and cannot silently switch to a paid route. Validate streaming, structured output, and tool calls separately because a free model can expose fewer features than its paid counterpart. Keep a budget ceiling outside the application whenever billing is possible, and do not send sensitive data until the observed route matches the reviewed agreement.

## Primary sources

- [Free quota](https://docs.qwencloud.com/resources/free-quota): Official Docs
- [Pricing overview](https://docs.qwencloud.com/developer-guides/getting-started/pricing): Official Pricing
- [Qwen Code authentication changes](https://qwenlm.github.io/qwen-code-docs/en/users/configuration/auth/): Official Docs
- [Alibaba Cloud Product Terms including Model Studio](https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-product-terms-of-service-v-3-8-0): Official Terms
- [Alibaba Cloud Privacy Policy](https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-privacy-policy): Official Privacy
- [Model Studio security certifications and privacy](https://www.alibabacloud.com/help/en/model-studio/privacy-notice): Official Privacy
- [Model Studio FAQ](https://www.alibabacloud.com/help/en/model-studio/faq-about-alibaba-cloud-model-studio): Official Docs
- [Region and service deployment scope](https://www.alibabacloud.com/help/en/model-studio/regions/): Official Docs
- [Qwen and Wan training-data governance](https://www.alibabacloud.com/help/en/model-studio/qwen-and-wan-training-data-disclosure): Official Docs
- [PyPI download stats for the official Alibaba Cloud dashscope SDK](https://pypistats.org/packages/dashscope): Package Registry Stats
- [Qwen organization on Hugging Face](https://huggingface.co/Qwen): Official Repository
- [Alibaba-provided figures on Qwen downloads and derivative models (2026-08-15)](https://fortune.com/2026/08/15/alibaba-qwen-open-ai-models-3-billion-downloads-meta-google/): Reputable Reporting
- [2024 Stack Overflow Developer Survey technology section](https://survey.stackoverflow.co/2024/technology): Independent Survey
- [Alibaba Cloud Model Studio product documentation](https://www.alibabacloud.com/help/en/model-studio/what-is-model-studio): Official Docs

## Sitemap

See the full [semantic sitemap](/sitemap.md) for every page and markdown mirror.
