What is Notto AI?

NottoAI is a multi-model AI chat platform that lets you access GPT-5.4, Claude, Gemini, DeepSeek, Grok, Perplexity and 16+ AI models in one unified interface.Instead of paying $20/month for each AI tool separately, users get all models under one subscription.

Switch between models mid-conversation with one click, compare answers from different AIs side by side, and always use the best model for each task.Features include web search, file uploads (images, PDFs, documents), conversation history, and Bring Your Own Key (BYOK) support with AES-256 encryption.

Start free with 500 credits, no credit card required.Free models like DeepSeek R1 and Llama 3.3 are available forever.

Notto AI pricing Freemium

Basic $19.9/mo

Pro $99.9/mo

Enterprise $199.9/mo

Verify on the official pricing page.

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Notto AI's key features

Centralized multi-model access to 16+ AI models (e.g., gpt-5.4, Claude, Gemini, Grok, Deepseek, Perplexity, LLaMA)
Instant model switching mid-conversation with side-by-side output comparison
Real-time web search integration and file upload support (images, PDFs, documents) for model-assisted research and analysis
Accepts user API keys stored encrypted with AES-256 (no plaintext key storage)
Maintains thread continuity across models so context persists when switching

Notto AI use cases

Create accurate, citation-backed research briefs by running the same prompt across GPT-5.4, Claude and Gemini side-by-side, using built-in web-search and file analysis to validate claims and pick the most reliable summary while preserving thread continuity as you refine findings
Develop, debug and optimize code by instantly switching models and comparing side-by-side outputs (GPT-5.4, LLaMA, Claude), uploading project files for automated analysis and preserving cross-model conversation continuity so you can iterate quickly without losing context, with encrypted API key support for private models
Build a consistent customer-facing knowledge base and canned support responses by importing manuals and logs for file analysis, testing reply variations across models side-by-side to choose the best tone and accuracy, and maintaining threaded continuity for follow-ups while keeping API keys securely stored