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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 Amazon Titan?

Amazon Titan is a suite of advanced foundation models from AWS, specifically designed to enhance generative AI applications with remarkable performance and flexibility. Drawing on over 25 years of AWS's deep-rooted knowledge in artificial intelligence and machine learning, Titan models support a diverse range of functions, such as text generation, summarization, semantic search, and image creation. These models emphasize the importance of responsible AI by incorporating safety features and fine-tuning options. Moreover, they facilitate customization through Retrieval Augmented Generation (RAG), which improves accuracy and relevance, making them ideal for both general and niche AI applications. The innovative architecture and powerful functionalities of Titan models mark a noteworthy progression in the realm of artificial intelligence, paving the way for more sophisticated AI solutions. Their ability to adapt to user-specific needs further underscores their significance in various industries.

Media

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Integrations Supported

Alibaba Cloud
Alibaba Cloud Model Studio
Cline
ClinePass
Happy Shrimp 1.0
Hermes Agent
Hugging Face
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
OpenClaw
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud

Integrations Supported

Amazon Bedrock
Amazon Web Services (AWS)

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/bedrock/amazon-models/titan/

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Categories and Features

AI Image Generators

Not specified

AI Image Models

Not specified

AI Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

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