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Description
The API framework permits any agent application within the OpenAI ecosystem, encompassing all AI agents currently, to leverage GaiaNet as an alternative option. In addition, while OpenAI's API relies on a limited selection of models for general responses, each node within GaiaNet can be extensively tailored with fine-tuned models enriched by specific domain knowledge. GaiaNet operates as a decentralized computing framework that empowers individuals and enterprises to develop, implement, scale, and monetize their unique AI agents, embodying their distinct styles, values, knowledge, and expertise. This innovative system facilitates the creation of AI agents by both individuals and businesses, while each GaiaNet node forms part of a distributed and decentralized network known as GaiaNodes. These nodes utilize fine-tuned large language models that incorporate private data, as well as proprietary knowledge bases that enhance model performance for users. Moreover, decentralized AI applications make use of the GaiaNet's distributed API infrastructure, offering features such as personal AI teaching assistants that are readily available to provide insights anytime and anywhere, thereby transforming the landscape of AI interaction. As a result, users can expect a highly personalized and efficient AI experience tailored specifically to their needs and preferences.
Description
Qwen3-Coder is a versatile coding model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version with 35B active parameters, which naturally accommodates 256K-token contexts that can be extended to 1M tokens. This model achieves impressive performance that rivals Claude Sonnet 4, having undergone pre-training on 7.5 trillion tokens, with 70% of that being code, and utilizing synthetic data refined through Qwen2.5-Coder to enhance both coding skills and overall capabilities. Furthermore, the model benefits from post-training techniques that leverage extensive, execution-guided reinforcement learning, which facilitates the generation of diverse test cases across 20,000 parallel environments, thereby excelling in multi-turn software engineering tasks such as SWE-Bench Verified without needing test-time scaling. In addition to the model itself, the open-source Qwen Code CLI, derived from Gemini Code, empowers users to deploy Qwen3-Coder in dynamic workflows with tailored prompts and function calling protocols, while also offering smooth integration with Node.js, OpenAI SDKs, and environment variables. This comprehensive ecosystem supports developers in optimizing their coding projects effectively and efficiently.
API Access
Has API
API Access
Has API
Integrations
OpenAI
Alibaba Cloud
Avalanche
Base
Brokk
Chainlink
Llama 2
Ministral 8B
Mistral 7B
Mistral NeMo
Integrations
OpenAI
Alibaba Cloud
Avalanche
Base
Brokk
Chainlink
Llama 2
Ministral 8B
Mistral 7B
Mistral NeMo
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
GaiaNet
Website
www.gaianet.ai/
Vendor Details
Company Name
Qwen
Founded
2023
Country
China
Website
qwenlm.github.io/blog/qwen3-coder/
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)