Qwen 4

Qwen 4

Alibaba
+
+

Related Products

  • Runpod
    230 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • JetBrains Junie
    12 Ratings
    Visit Website
  • ShapeNet
    287 Ratings
    Visit Website
  • Bright Data
    1,424 Ratings
    Visit Website
  • Shape Software
    136 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • Cloudflare
    2,042 Ratings
    Visit Website
  • Interfacing Integrated Management System (IMS)
    66 Ratings
    Visit Website
  • SciSure
    299 Ratings
    Visit Website

About

AutoScientist is a system that self-improves and automates the full research loop behind model training and alignment, making it possible for more teams to shape and refine the AI they depend on. Model training and reinforcement learning are among the most powerful ways to shape a model, but they are also among the hardest to get right outside a frontier lab because attempts can fail through catastrophic forgetting, overfitting on small or low-quality datasets, and conflicting training signals. AutoScientist co-optimizes data and model training recipes automatically, self-improving across both until quality converges on the user’s objective. Where Adaptive Data shapes the inputs, AutoScientist shapes the model, running the full research loop end-to-end so users walk away with models adapted to their goal. The loop runs itself: data and recipes are co-optimized in lockstep, iterating until the model converges on the behavior described.

About

Qwen 4 is Alibaba’s next-generation Qwen foundation model, announced on September 22, 2026, and currently in training. It will follow the Qwen3.8 generation as part of Alibaba’s broader roadmap for increasingly capable foundation and agentic AI models. Alibaba has not yet published Qwen 4’s parameter count, architecture, benchmark results, context window, pricing, release date, or availability details. The announcement places Qwen 4 within a research strategy focused on large-scale model training, agentic reinforcement learning, multimodal intelligence, and recursive self-improvement. Alibaba separately said that later Qwen 4.5 and Qwen 5 models are expected to scale into the 5-to-10-trillion-parameter range, but that figure was not attributed specifically to Qwen 4. Because Qwen 4 has not yet been released, detailed performance comparisons and production capabilities remain unconfirmed.

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

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

AI builders and enterprise teams that need to train, adapt, and own models without manually managing complex research loops

Audience

AI developers, researchers, enterprises, agent builders, and organizations following Alibaba’s next generation of foundation models, although its final production use cases cannot yet be determined because the model remains in training

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 Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version Not Supported
Free Trial Supported

Pricing

No information available.
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 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

Training

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

Training

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

Company Information

AutoScientist
United States
www.adaptionlabs.ai/blog/autoscientist

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

Alternatives

Qwen3.8-27B

Qwen3.8-27B

Alibaba
Kraken

Kraken

Big Squid
Qwen2

Qwen2

Alibaba
Tinker

Tinker

Thinking Machines Lab
Qwen3.8-Max

Qwen3.8-Max

Alibaba
Qwen3.6

Qwen3.6

Alibaba

Categories

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported
Multimodal Models Supported

Integrations

Alibaba Cloud Not Supported
Alibaba Cloud Model Studio Not Supported
Cherry Studio Not Supported
Cline Not Supported
ClinePass Not Supported
Happy Shrimp 1.0 Not Supported
Hermes Agent Not Supported
Hugging Face Not Supported
Model Context Protocol (MCP) Not Supported
ModelScope Not Supported
Novita AI Not Supported
Odysseus Not Supported
OfoxAI Not Supported
Ollama Not Supported
OpenClaw Not Supported
Python Not Supported
Qwen Code Not Supported
Qwen Studio Not Supported
QwenCloud Not Supported
QwenWork Not Supported

Integrations

Alibaba Cloud Supported
Alibaba Cloud Model Studio Supported
Cherry Studio Supported
Cline Supported
ClinePass Supported
Happy Shrimp 1.0 Supported
Hermes Agent Supported
Hugging Face Supported
Model Context Protocol (MCP) Supported
ModelScope Supported
Novita AI Supported
Odysseus Supported
OfoxAI Supported
Ollama Supported
OpenClaw Supported
Python Supported
Qwen Code Supported
Qwen Studio Supported
QwenCloud Supported
QwenWork Supported
Claim AutoScientist and update features and information
Claim AutoScientist and update features and information
Claim Qwen 4 and update features and information
Claim Qwen 4 and update features and information