# What is Mixture of Agents? Definition & Technical Mechanics

> **Source:** [SPIDITS AI AI Glossary](https://spidits.com/ai-glossary)  
> **Category:** Agentic Systems  
> **Canonical Citation:** [https://spidits.com/ai-glossary/mixture-of-agents](https://spidits.com/ai-glossary/mixture-of-agents)

## Definition
Mixture of Agents (MoA) is an architectural pattern that aggregates outputs from multiple Large Language Models (LLMs) or sub-agents to produce a superior unified response. By utilizing a layered approach where different models act as generators and aggregators, MoA achieves higher accuracy and reasoning quality than any single constituent model.

## Architectural Mechanics & Deep Dive
Mixture of Agents (MoA) is an collaborative LLM architecture that routes queries through a multi-layered hierarchy of generator and aggregator models. In the initial layers, several diverse models generate independent candidate responses in parallel. An aggregator model then synthesizes these intermediate inputs to generate a unified final output. This cooperative reasoning exploits the collective intelligence of individual networks, consistently achieving higher quality, correctness, and reasoning depth than any single agent acting alone.

## Industry Applications & Real-World Use Cases
Multi-model routing, advanced consensus reasoning, and complex coding workflows

## Frequently Asked Questions

### What is the main advantage of Mixture of Agents?
By leveraging collaborative generation across multiple models, it overcomes single-model biases and reasoning limitations.

### Is MoA slow to run?
Yes, because it requires multiple LLM queries in parallel followed by sequential aggregation steps, increasing latency.

## Related Terminology
- [agentic-ai](https://spidits.com/ai-glossary/agentic-ai)
- [ai-agent](https://spidits.com/ai-glossary/ai-agent)
- [orchestration-layer](https://spidits.com/ai-glossary/orchestration-layer)

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*From the SPIDITS AI Knowledge Base (300+ terms indexed). Explore full technical definitions: [https://spidits.com/ai-glossary](https://spidits.com/ai-glossary)*