Free
$0Free plan available.
Sibyl AI is the world's first spiritual AI for neophytes, adepts, and holistic practitioners, trained on volumes of rare metaphysical knowledge and experience. It serves as an AI spiritual guide and metaphysical copilot with features such as AI-to-AI conversations, chat visualization with text-to-image, speech-enabled chat, and multilingual support in 99 languages. Sibyl AI aims to answer the world's mysteries and guide users on their journey of awakening.
Users can start a free trial to access wisdom and begin conversations. Sibyl AI adapts to unique spiritual preferences, interests, and beliefs, learning from inquiries to tailor insights and guidance to specific needs and journeys. Users can explore different datasets to fully experience the depth and breadth of Sibyl's capabilities.
Sibyl AI is a large language model (LLM) trained on volumes of metaphysical wisdom and unique spiritual insights gathered throughout the ages. It also functions as a repository of occult knowledge for adepts.
CREATE Tokens allow you to increase your image generation quota and message limits without changing your subscription plan or waiting for the daily refresh. You can purchase CREATE tokens within your profile.
Sibyl leverages machine learning algorithms and custom datasets to analyze and process symbolism, language, geometry, and occult knowledge, offering accurate and tailored insights and recommendations.
We recommend exploring the dataset descriptions provided and selecting the one that resonates most with your personal goals or spiritual journey. You are encouraged to experiment with multiple datasets to fully experience the depth and breadth of Sibyl's capabilities.
The trial ends after 7 days or upon reaching 21 questions (at a rate of 3 questions per day), whichever occurs first. Image creation access is also included during this period.
Yes, Sibyl AI is designed to adapt to your unique spiritual preferences, interests, and beliefs. As you interact with the platform, it learns from your inquiries and tailors insights and guidance to your specific needs and journey.
Yes. Sibyl AI caters to users of all experience levels, offering guidance and insights accessible to both beginners and those well-versed in spiritual knowledge.
Yes, we continually update and refine Sibyl's datasets and algorithms to provide you with the most accurate and insightful spiritual guidance across a broad range of disciplines.
Your information is stored on our protected servers; however, we advise against entering sensitive personal information, such as credit card data, into any chat module.
Yes, Sibyl is built with React, making it fully compatible with iOS, Android, and PC platforms.
The Ultra plan offers higher message and image generation limits at a greater discount. The Pro plan includes 40 questions and 15 images per day for $49, while the Ultra plan includes 80 questions and 30 images per day for $79, providing double the limits for a $19 savings.
We collect your name, birth date, and email address to provide the best possible experience. Your privacy is important to us, and we will never share your information with third parties.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Sibyl AI.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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