Qwen

Alibaba Cloud's LLM family, open weights through to the Qwen3.8-Max flagship

LLMs & Chat Freemium Has API Open Source
Researched · Published · Reviewed
RECATOOLS Score
8.6 / 10
Capability
9
Value for money
9
Ease of use
7
ASEAN readiness
8
API quality
8
Founded
2023
HQ
Hangzhou, China
Users
Consumer app ~203M MAU (April 2026), #3 globally
Launched
Apr 2023 (Tongyi Qianwen); Qwen app beta Nov 2025
Developer
Alibaba Cloud

Overview

Qwen is Alibaba Cloud's family of large language and multimodal models, offered as open weights, as hosted APIs through Model Studio and Qwen Cloud, and as the free Qwen Chat app. The flagship Qwen3.8-Max, a 2.4-trillion-parameter mixture-of-experts model, had its weights published in August 2026 under a custom licence, while smaller models such as Qwen3.8-27B are Apache 2.0.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 14 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Open weights
Free (self-host)
Hugging Face and ModelScope
  • Qwen3.8-27B, Qwen3.6 and Qwen3.5 under Apache 2.0
  • Qwen3.8-2.4T-A95B under the Qwen3.8-Max licence
  • Qwen3.8-Flash-Next under the Qwen Community License 1.0
qwen3.7-flash
$0.03 / $0.13 per M tokens
Input / output, prompts up to 32K; higher above
  • 1M-token context
  • Batch inference discount
  • Context caching
qwen3.8-flash
$0.15 / $0.47 per M tokens
Input / output, Singapore region
  • 1M-token context
  • Context caching
  • Function calling and web search
qwen-plus
$0.40 / $1.20 per M tokens
Input / non-thinking output, prompts up to 256K
  • Thinking-mode output $4 per M
  • 1M-token context
qwen3.8-max
$2 / $6 per M tokens
Input / output, Singapore region
  • 1M-token context
  • Thinking and non-thinking modes
  • Cached input $0.25 per M
  • Built-in web search and code interpreter

API pricing (pay as you go)

Model Input Output
qwen3.8-max Single tier 0<Token≤1M. $2 $6
qwen3.7-max Single tier 0<Token≤1M. $2.50 $7.50
qwen3.6-max-preview Lowest tier 0<Token≤128K; 128K-256K is $2 / $12. $1.30 $7.80
qwen3-max Lowest tier 0<Token≤32K; up to $3 / $15 at 128K-256K. $1.20 $6
qwen3.7-plus List price, lowest tier 0<Token≤256K; the page shows a limited-time 20% discount on top. 256K-1M is $1.2 / $4.8. $0.40 $1.60
qwen3.6-plus Lowest tier 0<Token≤256K; 256K-1M is $2 / $6. $0.50 $3
qwen3.8-flash Single tier 0<Token≤1M. $0.15 $0.47
qwen3.7-flash Lowest tier 0<Token≤32K; up to $0.20 / $0.80 at 256K-1M. $0.03 $0.13
qwen-turbo Non-thinking output; thinking-mode output is $0.5. The vendor says Turbo is no longer updated. $0.05 $0.20
qwen3-coder-plus Lowest tier 0<Token≤32K; up to $6 / $60 at 256K-1M. $1 $5
qwen3-coder-flash Lowest tier 0<Token≤32K; up to $1.6 / $9.6 at 256K-1M. $0.30 $1.50

Rates in USD, per 1M tokens unless a row says otherwise. International deployment scope (Singapore). Tiered by input tokens per request; rates shown are the LOWEST tier, and all tokens in a request are billed at that request's tier. Cache-hit prices are not listed in the table (see the Context Cache doc). Page last updated 15 Sep 2026. Checked 16 Sep 2026 against the provider’s price page.

Use cases

Building bilingual Chinese-English AI applications without cloud dependency Serving East Asian language users with a locally hosted open model Cost-efficient API access to frontier-quality models for high-volume applications

What you can produce with Qwen

  • A self-hosted chat or coding assistant on Apache 2.0 weights such as Qwen3.8-27B, with no per-token fees
  • Analysis of documents, codebases or long videos up to a million tokens through the hosted Max and Flash models
  • Answers grounded in live web results through the built-in web search tool
  • Coding-agent sessions in Qwen Code, Claude Code or Cline through Qwen Cloud's OpenAI- and Anthropic-compatible APIs
  • Multilingual output across the 201 languages and dialects the Qwen3.5 generation supports
  • Fine-tuned domain models trained on your own data from an open Qwen base
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RECATOOLS Verdict

Qwen is the most practical open-weight family to build on in 2026: Apache 2.0 models from under a billion to hundreds of billions of parameters, and now even the Max-tier flagship available to download. Hosted pricing in Alibaba Cloud's Singapore region is low, from US$0.03 per million input tokens, with a 90-day free quota.

The catch is licensing drift. Qwen3.8-Max and Qwen3.8-Flash-Next carry custom licences that restrict companies selling model access or AI assistants, so check the licence of the exact model before you ship.

Desk research by RECATOOLS from public sources, written with AI assistance — not a hands-on test. How we review

What we found

Qwen is the large language model family built by Alibaba Cloud, first released to the public in 2023 and now one of the most widely used open-weight model lines. It comes in three forms that are easy to confuse: open weights on Hugging Face and ModelScope, paid hosted models through Alibaba Cloud Model Studio and Qwen Cloud, and a consumer chat app. QuestMobile counted 167 million monthly users for the Qwen app in China by May 2026, second to ByteDance's Doubao.

The biggest change this year is that the flagship is now open. Alibaba unveiled Qwen3.8-Max on 2 August 2026 and, within a week, published the weights of the 2.4-trillion-parameter mixture-of-experts model (95 billion active) as Qwen3.8-2.4T-A95B. DeepLearning.AI's The Batch noted that the downloadable version handles text only and does not carry the hosted model's full million-token context. Earlier versions of this page called it closed and API-only, which was wrong.

Licences now differ by model, so read them. Qwen3.8-27B, Qwen3.6 and Qwen3.5 are Apache 2.0. The Qwen3.8-Max licence requires a separate agreement once a company selling model access or an AI coding or office assistant passes US$50 million in revenue over twelve months. Qwen3.8-Flash-Next is stricter: its Qwen Community License requires a separate licence for any such business, whatever its size.

Hosted prices in Alibaba Cloud's Singapore region run from US$0.03 per million input tokens for qwen3.7-flash on short prompts to US$2 input and US$6 output for qwen3.8-max, and new users get a million free tokens per model for 90 days there. For ASEAN teams, the practical appeal is choice: self-host an Apache model, pay per token in Singapore, or use the free Qwen Chat. The cost is keeping track of which licence and which version you are actually running.

Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.

Notable facts

  • Qwen2.5-72B achieves performance comparable to Llama 3.1 405B on many benchmarks while being 6x smaller and faster to run.
  • Alibaba released Qwen models under the Qwen Community Licence, which permits commercial use without royalties for most companies.
  • Qwen2-Audio was the first open-weight model capable of understanding speech, music, and environmental sounds with natural language descriptions.

Frequently asked questions

Model weights are free to download. The Alibaba Cloud API has per-token pricing.
Very good. Qwen is trained specifically for bilingual Chinese-English capability and outperforms most Western models on Chinese language benchmarks.
Yes. Models are available on Hugging Face under the Qwen Community Licence.
Both are strong open-weight models. Qwen has stronger Chinese and East Asian language performance; Llama has a larger community ecosystem.
Yes. Alibaba Cloud DashScope API provides access to all Qwen models.

About this listing

Researched on
Published on
Last reviewed

This entry was compiled from publicly available data including Qwen's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Qwen unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

For the latest details, please refer to Qwen directly →

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