Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • RealEstateAPI (REAPI) Reviews & Ratings
    54 Ratings
    Company Website
  • Planview AdaptiveWork Reviews & Ratings
    714 Ratings
    Company Website
  • Creatio Reviews & Ratings
    586 Ratings
    Company Website
  • InfoBox Reviews & Ratings
    47 Ratings
    Company Website
  • Datasite Diligence Virtual Data Room Reviews & Ratings
    692 Ratings
    Company Website
  • optivalue.ai Reviews & Ratings
    4 Ratings
    Company Website
  • Runpod Reviews & Ratings
    230 Ratings
    Company Website

What is Qwen 4?

Qwen 4 is Alibaba’s forthcoming next-generation foundation model and the planned successor to the company’s Qwen3.x model family. Alibaba announced Qwen 4 at the 2026 Apsara Conference on September 22 and confirmed that the model is currently in training. The company has not yet disclosed Qwen 4’s architecture, parameter count, context length, training-compute requirements, benchmark scores, pricing, licensing terms, or release schedule. Qwen 4 is being developed as Alibaba expands its broader AI stack across foundation models, multimodal systems, AI infrastructure, and agent-oriented cloud services. A major research direction surrounding Alibaba’s next generation of models is recursive self-improvement based on real-world tasks and empirical feedback. The company has already experimented with this approach using Qwen3.8-Max, allowing the model to participate in automated pipeline design, data validation, experimentation, error diagnosis, and post-training optimization. Alibaba reported that Qwen3.8-Max completed 33 iterative cycles during one such experiment and increased its Artificial Analysis score from 40 to 45. In a separate chip-design experiment, a Qwen model performed more than 10,000 EDA tool calls during over 60 hours of automated improvement work, illustrating Alibaba’s interest in long-horizon agentic tasks. These demonstrations describe the research program surrounding future Qwen development rather than confirmed features of Qwen 4 itself. Alibaba has also announced a longer-term roadmap in which Qwen 4.5 and Qwen 5 models are projected to reach between 5 trillion and 10 trillion parameters. Qwen 4 therefore remains a pre-release model, with detailed capabilities and access information expected to become clearer when Alibaba publishes its formal launch materials.

What is Qwen3.5?

Qwen3.5 is an advanced open-weight multimodal AI system built to serve as the foundation for native digital agents capable of reasoning across text, images, and video. The primary release, Qwen3.5-397B-A17B, introduces a hybrid architecture that combines Gated DeltaNet linear attention with a sparse mixture-of-experts design, activating just 17 billion parameters per inference pass while maintaining a total parameter count of 397 billion. This selective activation dramatically improves decoding throughput and cost efficiency without sacrificing benchmark-level performance. Qwen3.5 demonstrates strong results across knowledge, multilingual reasoning, coding, STEM tasks, search agents, visual question answering, document understanding, and spatial intelligence benchmarks. The hosted Qwen3.5-Plus variant offers a default one-million-token context window and integrated tool usage such as web search and code interpretation for adaptive problem-solving. Expanded multilingual support now covers 201 languages and dialects, backed by a 250k vocabulary that enhances encoding and decoding efficiency across global use cases. The model is natively multimodal, using early fusion techniques and large-scale visual-text pretraining to outperform prior Qwen-VL systems in scientific reasoning and video analysis. Infrastructure innovations such as heterogeneous parallel training, FP8 precision pipelines, and disaggregated reinforcement learning frameworks enable near-text baseline throughput even with mixed multimodal inputs. Extensive reinforcement learning across diverse and generalized environments improves long-horizon planning, multi-turn interactions, and tool-augmented workflows. Designed for developers, researchers, and enterprises, Qwen3.5 supports scalable deployment through Alibaba Cloud Model Studio while paving the way toward persistent, economically aware, autonomous AI agents.

Media

No images available

Media

Integrations Supported

Alibaba Cloud Model Studio
Ollama
OpenClaw
Qwen
APIFree
Alibaba Cloud
BaseRT
Cherry Studio
Cline
Happy Shrimp 1.0
Hermes Agent
Hugging Face
Model Context Protocol (MCP)
Novita AI
OfoxAI
Qwen Studio
Qwen3.5-Plus
QwenCloud
QwenWork
Together AI

Integrations Supported

Alibaba Cloud Model Studio
Ollama
OpenClaw
Qwen
APIFree
Alibaba Cloud
BaseRT
Cherry Studio
Cline
Happy Shrimp 1.0
Hermes Agent
Hugging Face
Model Context Protocol (MCP)
Novita AI
OfoxAI
Qwen Studio
Qwen3.5-Plus
QwenCloud
QwenWork
Together AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Free
Open source
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Popular Alternatives

Qwen3.8-27B Reviews & Ratings

Qwen3.8-27B

Alibaba

Popular Alternatives

Qwen2 Reviews & Ratings

Qwen2

Alibaba
Claude Mythos Reviews & Ratings

Claude Mythos

Anthropic
Qwen3.6 Reviews & Ratings

Qwen3.6

Alibaba
Claude Opus 4.5 Reviews & Ratings

Claude Opus 4.5

Anthropic