Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Ling 3.0 Flash represents an advanced language model optimized for long-term agent workflows, characterized by swift response times, minimal activation levels, and consistent tool usage. Incorporating a Mixture-of-Experts structure, it boasts a staggering 124 billion parameters in total, with 5.1 billion parameters activated per token, which enhances its capability while maintaining efficient inference. This model features an impressive native context window of 256K tokens, which can be expanded to accommodate up to 1 million tokens, ensuring effective retrieval of information from any part of lengthy contexts. When compared to its predecessor, the original Flash model, Ling 3.0 Flash significantly enhances stability for prolonged tasks, improves the accuracy of tool-calling, better adheres to instructions, and shows greater compatibility with agent harnesses and coding tasks. Additionally, its refined spatial awareness allows it to create grids of physical scenes and evaluate relative positions effectively, while its hybrid reasoning capabilities boost success rates across a range of task complexities. Overall, Ling 3.0 Flash exemplifies a significant leap forward in language modeling technology, ensuring users can achieve superior performance across diverse applications.

Description

Qwen 4 is the upcoming fourth-generation foundation model in Alibaba’s Qwen AI family. Alibaba publicly confirmed at its 2026 Apsara Conference that the model is currently being trained. The company has not yet released technical specifications, model weights, API access, pricing, benchmark results, or a launch date for Qwen 4. Its development forms part of Alibaba’s broader effort to advance foundation models capable of increasingly complex and long-horizon work. The Qwen team is also researching recursive self-improvement, in which models use empirical feedback to identify weaknesses, design experiments, evaluate results, and iteratively improve training processes. Alibaba demonstrated this approach with Qwen3.8-Max, which completed 33 automated optimization cycles during a month-long experiment and improved its Artificial Analysis score from 40 to 45. These experiments provide context for Alibaba’s model-development direction but do not establish specific Qwen 4 capabilities. Alibaba has additionally outlined Qwen 4.5 and Qwen 5 models that could eventually scale to between 5 trillion and 10 trillion parameters. Until Qwen 4 is released, its exact architecture, modalities, performance, deployment options, and licensing remain to be announced.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

Hermes Agent Yes 
OpenClaw Yes 
Cherry Studio No 
Claude Code Yes 
Cline No 
ClinePass No 
Hugging Face No 
Kilo Code Yes 
ModelScope No 
Novita AI No 
Odysseus No 
OfoxAI No 
Ollama No 
OpenRouter Yes 
Python No 
Qwen No 
Qwen Code No 
Qwen Studio No 
QwenCloud No 
ZenMux Yes 

Integrations

Hermes Agent Yes 
OpenClaw Yes 
Cherry Studio Yes 
Claude Code No 
Cline Yes 
ClinePass Yes 
Hugging Face Yes 
Kilo Code No 
ModelScope Yes 
Novita AI Yes 
Odysseus Yes 
OfoxAI Yes 
Ollama Yes 
OpenRouter No 
Python Yes 
Qwen Yes 
Qwen Code Yes 
Qwen Studio Yes 
QwenCloud Yes 
ZenMux No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Ant Group

Founded

2014

Country

China

Website

www.ant-ling.com

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai

Alternatives

GLM-5.3 Reviews

GLM-5.3

Z.ai

Alternatives

Qwen2 Reviews

Qwen2

Alibaba
GLM-5.2 Reviews

GLM-5.2

Z.ai
Qwen3.8-27B Reviews

Qwen3.8-27B

Alibaba
Ling 2.6 Flash Reviews

Ling 2.6 Flash

Ant Group
Qwen3.8-Max Reviews

Qwen3.8-Max

Alibaba
Kimi K3 Reviews

Kimi K3

Moonshot AI
Qwen3.6 Reviews

Qwen3.6

Alibaba