What is Sup AI?

Sup AI is a multi-model AI orchestration platform that combines frontier AI models (OpenAI, Anthropic, Google, DeepSeek, MoonshotAI, Alibaba, etc.) into a single intelligent system designed to maximize accuracy and minimize hallucinations.

It claims state-of-the-art performance on Humanity’s Last Exam (HLE) — one of the most difficult AI benchmarks — achieving 52.15% accuracy, leading the next best model by 14+ percentage points.

Sup AI focuses on:

• Research-grade reliability
• Real-time confidence verification
• Source-backed answers
• Persistent memory with multimodal RAG
• OpenAI-compatible API access

Key Features

1. Multi-Model Orchestration

• Routes queries to the best frontier models
• Combines outputs intelligently
• Leverages ensemble performance beyond any single model

2. Logprob Confidence Scoring

• Real-time analysis of model token probabilities
• Automatically retries low-confidence responses
• Only high-confidence answer segments are delivered
• Surfaces uncertainties instead of hiding them

3. Always Cited

• Inline, clickable citations
• Every claim backed by verifiable sources

4. Perfect Memory (Multimodal RAG)

• Upload PDFs, images, documents
• Content becomes permanent knowledge
• AI remembers everything across sessions

5. Intelligent Model Selection

• Automatically selects optimal models based on:

  • Task complexity
  • Domain
  • Speed requirements

6. Extended Thinking

• Transparent reasoning traces
• Step-by-step problem solving

7. Secure Collaboration

• Shared chat projects
• Real-time collaborative editing
• Data-leak prevention mechanisms

8. Image Generation & Editing

• Native multimodal integration
• Images embedded directly in conversation context

9. Developer API

• Single endpoint
• OpenAI-compatible
• Drop-in replacement for OpenAI SDK
• Usage analytics, request logs, spend tracking
• Pay-as-you-go pricing

Supported Models (Ecosystem)

Sup AI orchestrates models from:

• OpenAI (GPT-5 Pro, GPT-5, GPT-5 Mini)
• Anthropic (Claude Opus 4.5, Claude Sonnet 4.5)
• Google (Gemini 3 Pro, Gemini 3 Pro Image)
• MoonshotAI (Kimi K2 Thinking Turbo)
• DeepSeek (DeepSeek V3.2 Experimental)
• Alibaba (Qwen3 Max)

Benchmark & Accuracy Claims

• 52.15% accuracy on Humanity’s Last Exam (HLE)
• +14.63% lead vs next best model
• Tested on 1,369 random HLE questions
• Results reproducible with full traces on GitHub
• Evaluation conducted Dec 2025
• Includes enhanced settings (web search, retries, custom instructions)

Use Cases

1. Research & Academia

• Literature reviews
• Source-backed analysis
• Complex domain reasoning

2. Enterprise Knowledge Systems

• Persistent document memory
• Internal knowledge base augmentation
• Secure team collaboration

3. Developers & AI Builders

• API access to orchestrated ensemble intelligence
• OpenAI-compatible integration
• High-accuracy mission-critical workflows

4. Legal & Compliance Work

• Zero-tolerance hallucination workflows
• Traceable sources
• Confidence scoring

5. Data Analysis & Code Execution

• Built-in code execution across:

  • Python
  • Bash
  • C++
  • C
  • R
  • JavaScript
  • TypeScript
  • Java
  • ~10+ more languages

Pricing Overview

Free Credits

• $5 free (one-time)
• Credit card verification required
• Full feature access

Paid Plans

• Plus: $30/month ($37.50 credits)
• Pro: $100/month ($125 credits)
• Super: $200/month ($250 credits)
• Monthly credits roll over