Test your knowledge in live multiplayer Jeopardy-style trivia battles with AI-assisted grading that recognizes correct answers even with spelling mistakes.
Sup AI
Achieve research-grade accuracy and eliminate AI hallucinations using multi-model orchestration, real-time logprob confidence scoring, and verifiable citations.
Free plan available
$30/mo
About Sup AI
Sup AI is an advanced orchestration platform designed to maximize the accuracy of artificial intelligence outputs by leveraging multiple frontier models simultaneously. Founded in 2025 following insights into the limitations of single-model reliance, the tool acts as an intelligent layer that routes queries to the most capable models for a specific task, such as GPT-5.2, Claude 4.6, or Gemini 3. Its core philosophy is based on the mathematical concept of the supremum, aiming to set the upper bound for AI reasoning and reliability in high-stakes research environments. By synthesizing the strengths of various Large Language Models, it provides a more robust and comprehensive response than any individual model could achieve alone. The platform distinguishes itself through a multi-step orchestration process that includes analyzing query complexity and selecting optimal models before performing Logprob Confidence Scoring. This scoring system evaluates the probability of each generated chunk in real-time; if confidence is low, the system automatically retries the generation, ensuring only high-certainty data reaches the final response. Additionally, Sup AI features Perfect Memory through multimodal Retrieval-Augmented Generation (RAG). This allows users to upload PDFs and images that become permanent, searchable knowledge within the workspace, which the AI can reference across multiple conversations without losing context. Sup AI is primarily built for professionals, research groups, and developers who require zero tolerance for hallucinations. For researchers, it provides Thinking Traces, which are transparent, graph-based reasoning trails that show the step-by-step logic behind every conclusion. Teams can utilize shared workspaces and collaborative projects to manage collective findings while keeping individual chat histories private. For developers, the tool offers an OpenAI-compatible API endpoint, allowing for easy integration of ensemble model performance into existing applications without the need for extensive code changes or multiple provider accounts. What sets Sup AI apart is its verified performance on the Humanity’s Last Exam (HLE) benchmark, where it currently holds the top position with 52.15% accuracy—significantly outperforming individual flagship models by over 14 percentage points. Unlike standard AI assistants that may present information without evidence, Sup AI enforces a strict citation policy where every claim is backed by verifiable, clickable sources. By surfacing uncertainties rather than hiding them and offering a pay-as-you-go credit system that never expires, Sup AI provides a transparent and flexible alternative for users who value factual correctness above all else.
Sup AI pros & cons
Pros
- Ranked #1 on the Humanity's Last Exam benchmark with 52.15% accuracy.
- Automatically retries low-confidence response chunks to significantly reduce hallucinations.
- Provides clickable inline citations for every claim made in a response.
- Monthly credits roll over indefinitely and never expire as long as the plan is active.
- Supports 27 different models including flagship builds from OpenAI, Anthropic, and Google.
Cons
- Credit card verification is required even to claim the $5 free one-time credit offer.
- The entry-level paid plan requires a relatively high monthly commitment of $30.
- Complex ensemble processing may result in longer response times than single-model interfaces.
- The advanced technical dashboard and logprob metrics may be overwhelming for casual users.
Sup AI use cases
- Research teams can use shared workspaces and Thinking Traces to collaborate on complex analysis while maintaining source transparency.
- Software developers can integrate the most accurate AI ensemble into their products using the drop-in OpenAI-compatible API.
- Data scientists can utilize Logprob Confidence Scoring to verify model outputs and reduce errors in automated data workflows.
- Power users can manage long-term projects using the multimodal RAG system to ensure the AI retains context from thousands of uploaded documents.
- Students and educators can cross-reference multiple AI perspectives simultaneously to get a comprehensive understanding of expert-level subjects.
Sup AI features
- image generation and editing
- logprob confidence scoring
- multi-model orchestration
- openai compatible api
- secure team collaboration
- thinking traces
- inline source citations
- multimodal rag
Sup AI pricing
Is Sup AI free? Yes, Sup AI has a free plan, and paid plans start at $30 / month.
Free Credits
Free
- $5 free in credits
- Try all AI models
- Full feature access
- No commitment
- Credit card required
Plus
$30 / month
- $37.50 in credits
- Monthly credits roll over
- Multi-model orchestration
- Logprob confidence scoring
- Multimodal RAG
- Inline citations
Pro
$100 / month
- $125 in credits
- Monthly credits roll over
- Multi-model orchestration
- Advanced thinking traces
- Team collaboration
- Priority model access
Super
$200 / month
- $250 in credits
- Monthly credits roll over
- Power user access
- Full model ecosystem
- Developer API access
- Secure shared workspaces
Sup AI FAQs
How does Logprob Confidence Scoring reduce hallucinations?
The system analyzes the mathematical probability of each token in real-time. If a response chunk falls below a specific confidence threshold, the orchestrator automatically retries the request to ensure only high-certainty information is delivered to the user.
Can I use Sup AI with my existing OpenAI-based applications?
Yes, Sup AI provides an OpenAI-compatible API endpoint. You can switch to Sup AI's ensemble system by simply changing the base URL in your existing SDK setup and adding your Sup AI API key.
What is the Perfect Memory feature?
It is a multimodal RAG system that allows you to upload documents, PDFs, and images which then become permanent knowledge. The AI uses this data as a primary source, ensuring it never forgets your specific project details.
Which frontier models does the orchestration layer support?
The platform supports a wide range of models including GPT-5.2 Pro, Claude Opus 4.6, Gemini 3 Pro, and DeepSeek V3.2 Thinking. The orchestrator automatically selects the best combination of these models based on the complexity of your query.
Is there a way to see the logic behind an AI's answer?
Yes, Sup AI provides Thinking Traces, which are transparent, step-by-step reasoning trails. These are presented in an easy-to-read graph-based interface so you can verify the chain of logic behind every conclusion.
Ratings & reviews
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