Audience

Developers and AI teams that need scalable access to text, image, video, audio, and multimodal AI models for building applications

About Qwen3.8-Max

Qwen3.8-Max is Qwen’s most capable model to date, built as a Max-class AI model for coding, work, research, long-horizon tasks, and multimodal agents. It scales to 2.4 trillion parameters with 95 billion active parameters and is available through QwenCloud. The model is designed to complete complex, open-ended tasks end to end with greater reliability and minimal human involvement. Qwen3.8-Max supports autonomous coding workflows, agentic development, research reproduction, visual reasoning, document understanding, video analysis, and real-world productivity tasks. It can integrate with popular agent frameworks and coding assistants, including Claude Code, Codex, Qoder CLI, Qwen Code, and OpenClaw. Built for developers, researchers, enterprises, and AI agent builders, Qwen3.8-Max helps teams automate sophisticated work across code, documents, tools, interfaces, and multimodal content.

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Pricing

Starting Price:
$2 per 1M (input)
Pricing Details:
$2 per 1 million tokens (input), $6 per 1 million tokens (output)

Integrations

API:
Yes, Qwen3.8-Max offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5
More Reviews for Qwen3.8-Max Write a Review

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Videos and Screen Captures

Qwen3.8-Max Screenshot 1
Qwen3.8-Max Screenshot 1 Qwen3.8-Max Screenshot 2
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Qwen3.8-Max Frequently Asked Questions

Q: What kinds of users and organization types does Qwen3.8-Max work with?
Qwen3.8-Max works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Qwen3.8-Max support in their product?
Qwen3.8-Max supports these languages: English.
Q: What kind of support options does Qwen3.8-Max offer?
Qwen3.8-Max offers support via online.
Q: What other applications or services does Qwen3.8-Max integrate with?
Qwen3.8-Max integrates with: Alibaba Cloud Model Studio, Alibaba Cloud, Cherry Studio, Cline, ClinePass, Happy Shrimp 1.0, Hermes Agent, Hugging Face, Model Context Protocol (MCP), ModelScope, Novita AI, Odysseus, OfoxAI, Ollama, OpenClaw, Python, Qwen Studio, QwenCloud, Qwen Code, Qwen, and QwenWork.
Q: Does Qwen3.8-Max have an API?
Yes, Qwen3.8-Max has an API.
Q: What type of training does Qwen3.8-Max provide?
Qwen3.8-Max provides training in the form of documentation.
Q: How much does Qwen3.8-Max cost?
Pricing for Qwen3.8-Max starts at $2 per 1M (input).

Qwen3.8-Max Product Features

Qwen3.8-Max Verified User Reviews

Write a Review
  • A Qwen3.8 Max User
    Deveoper
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User
    Company Size: 100 - 499
    Design 5 out of 5 stars
    Ease 5 out of 5 stars
    Features 5 out of 5 stars
    Pricing 4 out of 5 stars
    Support 5 out of 5 stars
    Probability You Would Recommend? 8 out of 10

    "Qwen3.8 Max review"

    5 out of 5 stars Posted 2026-07-20

    Pros: Qwen3.8-Max is really interesting from a developer’s perspective. A 2.4T-parameter model that can handle text, images, video, and documents has a lot of potential for coding agents, repo analysis, multimodal debugging, and workflows where the model needs to understand more than just plain text.

    Cons: The biggest downside is that a lot of the hype still needs proof. Alibaba is claiming Qwen3.8-Max trails only Fable 5, but current reports say there are no public benchmark scores, no model card, no activated-parameter count, and no independent leaderboard results yet.

    Overall: Five stars for potential. As a developer, Qwen3.8-Max feels like one of the most interesting new models to watch because it combines massive scale, multimodal support, developer-platform access, and a promised open-weight release.

    Read More...
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