Qwen3.8-Max

Qwen3.8-Max

Alibaba
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About

HumanLayer is an open-source AI coding agent orchestration platform that helps software development teams manage, coordinate, and collaborate on autonomous programming tasks. The software provides a multiplayer development workspace that brings coding agent sessions, implementation plans, research documents, and code changes into a centralized interface. Its structured development workflows guide AI agents through requirements gathering, codebase research, technical design, implementation planning, and code execution. Developers can run multiple AI coding agents simultaneously across local workstations and cloud infrastructure while monitoring their progress and reviewing their actions. HumanLayer supports collaborative design reviews, inline comments, human approval checkpoints, and integrations with tools such as Claude Code, Codex, GitHub, Linear, and Jira.

About

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.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Software developers, AI coding agent developers, software engineering teams, engineering managers, technical leads, platform engineers, DevOps professionals, enterprise development organizations, AI-native software companies, and teams building software factories that require multi-agent coding orchestration, collaborative development, human-in-the-loop approvals, automated software engineering workflows, and centralized agent management

Audience

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

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$100/user/month
Free Version Supported
Free Trial Not Supported

Pricing

$2 per 1M (input)
$2 per 1 million tokens (input), $6 per 1 million tokens (output)
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

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.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

HumanLayer
United States
www.humanlayer.dev/

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

Alternatives

GPT-6.1 Sol

GPT-6.1 Sol

OpenAI
Switch AI

Switch AI

Flint AI
Traccia

Traccia

Algen AI
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

Alibaba Cloud Not Supported
Codestral Supported
Cohere Supported
CrewAI Supported
Gemini 1.5 Flash Supported
Gemini 2.0 Flash Supported
Gemini Enterprise Supported
Gemini Nano Supported
Hugging Face Not Supported
LangChain Supported
Mathstral Supported
Mistral 7B Supported
Mistral AI Supported
Mixtral 8x22B Supported
Odysseus Not Supported
OfoxAI Not Supported
OpenAI Supported
OpenClaw Not Supported
Qwen Not Supported
Slack Supported

Integrations

Alibaba Cloud Supported
Codestral Not Supported
Cohere Not Supported
CrewAI Not Supported
Gemini 1.5 Flash Not Supported
Gemini 2.0 Flash Not Supported
Gemini Enterprise Not Supported
Gemini Nano Not Supported
Hugging Face Supported
LangChain Not Supported
Mathstral Not Supported
Mistral 7B Not Supported
Mistral AI Not Supported
Mixtral 8x22B Not Supported
Odysseus Supported
OfoxAI Supported
OpenAI Not Supported
OpenClaw Supported
Qwen Supported
Slack Not Supported
Claim HumanLayer and update features and information
Claim HumanLayer and update features and information
Claim Qwen3.8-Max and update features and information
Claim Qwen3.8-Max and update features and information