Multi-Output Eval
Compare multiple AIs in real-time
A powerful evaluation engine that queries multiple LLMs (e.g., GPT-4, Claude, Llama) simultaneously with the same prompt. It analyzes the responses for consensus, factual accuracy, and reasoning quality, providing a synthesized 'best' answer or a comparative report.
Key Capabilities
Why industry leaders choose this solution.
Parallel Model Execution
Advanced capability designed for high-performance environments.
Consensus Scoring Algorithms
Advanced capability designed for high-performance environments.
Hallucination Detection
Advanced capability designed for high-performance environments.
Latency and Cost Benchmarking
Advanced capability designed for high-performance environments.
Customizable Model Ensembles
Advanced capability designed for high-performance environments.
Multi-Model Arena
Four AIs. One question. See who agrees.
Watch GPT-4, Claude, Llama, and Mistral tackle the same prompt simultaneously. Our consensus algorithm identifies agreement patterns, flags outliers, and synthesizes the most reliable answer from collective intelligence.
- Side-by-side response comparison
- Live confidence scoring per model
- Automatic outlier detection and flagging
"One model can hallucinate. Four models reveal the truth."
Based on 3 model consensus: The answer is 42
Use Cases
- High-stakes decision making
- Automated code review
- Medical diagnosis support
- Legal contract analysis
Technical Architecture
Orchestrates async calls to various model APIs. Responses are normalized and passed through a meta-evaluator model trained to rank outputs based on specific criteria.
Ready to automate
critical decisions at scale?
Join leading banks, governments, and enterprises who trust Anything.ai for mission-critical AI automation.