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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Anuma is an innovative AI platform prioritizing user privacy that consolidates access to both proprietary and open-source AI systems in a single, user-friendly interface, ensuring complete ownership and control over personal data. Users can seamlessly engage with various models, including ChatGPT, Claude, Gemini, Grok, and open-source options like DeepSeek or Qwen, all without the need to switch between different tools or lose contextual information, facilitating smooth workflows across diverse AI technologies. At the heart of the platform lies a Private Memory Layer designed to securely store user preferences, conversation histories, and contextual information in an encrypted environment controlled by the user, thereby preventing any unauthorized access to sensitive data. This memory feature persists across different sessions and AI models, allowing users to pick up where they left off without the need to reiterate details, thus enhancing continuity in intricate workflows. Additionally, Anuma offers the ability to compare various models side by side, as well as the freedom to create custom mini-applications and automate tasks without requiring any coding skills. Consequently, users can achieve greater efficiency and personalization in their AI interactions.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Qwen Yes 
Alibaba Cloud No 
Cherry Studio No 
Claude Duet Yes 
Claude Sonnet 4.6 Yes 
DeepSeek Yes 
GPT-5.4 Yes 
GPT-5.6 Sol Yes 
GPT-5.6 Terra Yes 
Gemini Yes 
Gemini 3.1 Pro Yes 
Holo4 Yes 
Hugging Face No 
Kimi Yes 
Model Context Protocol (MCP) No 
Nano Banana Yes 
OfoxAI No 
Ollama No 
OpenClaw No 

Integrations

Qwen Yes 
Alibaba Cloud Yes 
Cherry Studio Yes 
Claude Duet No 
Claude Sonnet 4.6 No 
DeepSeek No 
GPT-5.4 No 
GPT-5.6 Sol No 
GPT-5.6 Terra No 
Gemini No 
Gemini 3.1 Pro No 
Holo4 No 
Hugging Face Yes 
Kimi No 
Model Context Protocol (MCP) Yes 
Nano Banana No 
OfoxAI Yes 
Ollama Yes 
OpenClaw 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) Yes 
In Person No 

Types of Training

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

Vendor Details

Company Name

Anuma

Founded

2025

Country

United States

Website

www.anuma.ai/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

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