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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Discover JinaChat, an innovative LLM service designed specifically for professional users. This platform heralds a transformative phase in multimodal chat functionality, seamlessly integrating not just text but also images and additional media. Enjoy our complimentary short interactions, limited to 100 tokens, which provide a taste of what we offer. With our robust API, developers can utilize extensive conversation histories, significantly reducing the need for repetitive prompts and facilitating the creation of intricate applications. Step into the future of LLM solutions with JinaChat, where interactions are rich, memory-driven, and cost-effective. Many modern LLM applications rely heavily on lengthy prompts or vast memory, which can lead to elevated costs when similar requests are repeatedly sent to the server with only slight modifications. However, JinaChat's API effectively addresses this issue by allowing you to continue previous conversations without the necessity of resending the entire message. This innovation not only streamlines communication but also leads to significant savings, making it an ideal resource for crafting sophisticated applications such as AutoGPT. By simplifying the process, JinaChat empowers developers to focus on creativity and functionality without the burden of excessive costs.

Description

Qwen3.8-Flash-Next represents an open-weight multimodal Mixture-of-Experts architecture and serves as an initial glimpse into the design intended for Qwen4. This model strategically enhances attention mechanisms, residual pathways, embeddings, and optimization techniques to boost its capabilities, improve computational efficiency, expand model capacity, and ensure training stability. Its innovative hybrid architecture merges Gated DeltaNet, which adeptly compresses past information, with Qwen Sparse Attention, enabling the selection of significant context at a micro-block level to lessen both attention and indexing costs associated with lengthy sequences. The Gated Residual feature broadens the residual pathway into four streams, dynamically managing the flow of information across different layers. Additionally, the N-gram Embedding integrates large-scale local-pattern memory with minimal added computation per token, and it can be transferred to host memory for further efficiency. The model is structured around a 125B-parameter main network supplemented by 51B parameters dedicated to N-gram embeddings, activating only 6B parameters for each token processed. This sophisticated framework highlights the ongoing advancements in machine learning architectures, setting a promising stage for future developments.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
Alibaba Cloud No 
Alibaba Cloud Model Studio No 
ChatGPT Yes 
Cherry Studio No 
Cline No 
ClinePass No 
Happy Shrimp 1.0 No 
Hermes Agent No 
Hugging Face No 
ModelScope No 
Novita AI No 
Odysseus No 
OfoxAI No 
Ollama No 
OpenAI Yes 
OpenClaw No 
Qwen Code No 
Qwen Studio No 
QwenCloud No 

Integrations

Python Yes 
Alibaba Cloud Yes 
Alibaba Cloud Model Studio Yes 
ChatGPT No 
Cherry Studio Yes 
Cline Yes 
ClinePass Yes 
Happy Shrimp 1.0 Yes 
Hermes Agent Yes 
Hugging Face Yes 
ModelScope Yes 
Novita AI Yes 
Odysseus Yes 
OfoxAI Yes 
Ollama Yes 
OpenAI No 
OpenClaw Yes 
Qwen Code Yes 
Qwen Studio Yes 
QwenCloud Yes 

Pricing Details

$9.99 per month
Free Trial Yes 
Free Version Yes 

Pricing Details

$2 per 1M (input)
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

Jina AI

Founded

2020

Country

Germany

Website

chat.jina.ai/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

Product Features

Chatbot

Call to Action No 
Context and Coherence No 
Human Takeover No 
Inline Media / Videos No 
Machine Learning No 
Natural Language Processing No 
Payment Integration No 
Prediction No 
Ready-made Templates No 
Reporting / Analytics No 
Sentiment Analysis No 
Social Media Integration No 

Alternatives

Alternatives

Qwen3.5 Reviews

Qwen3.5

Alibaba