Coral Protocol’s multi-agent AI system has achieved the highest score on the GAIA Benchmark, outperforming Microsoft-backed Magnetic-UI by 34%. This milestone reinforces the potential of horizontal scaling as a viable alternative to building ever-larger AI models.
Redefining AI Scaling Through Orchestration
Instead of expanding model parameters, Coral takes a fundamentally different approach by orchestrating specialized agents across a decentralized network. This strategy, which emphasizes collaborative intelligence over monolithic power, marks a significant shift in AI system architecture.
“This breakthrough marks a turning point in AI infrastructure,” said Caelum Forder, CTO of Coral. “It’s proof that horizontal scaling isn’t just possible—it’s practical. The Internet of Agents is now a working reality.”
The GAIA Benchmark evaluates an AI system’s capacity to tackle real-world, multi-step tasks across a wide range of domains. Coral’s top score validates not just its technology but also NVIDIA’s thesis that smaller, purpose-driven models can rival larger systems when orchestrated effectively.
Inside the Coral Agent System
The system tested—Coral’s GAIA Agent System—builds on CAMEL’s OWL framework and deploys a network of task-specific agents, including:
Answer-finding and assistance
Critique and problem-solving
Image and video analysis
Web browsing and planning
These agents interact using Coral’s native MCP communication protocol, creating a graph-based system that enhances reasoning, planning, and execution without relying on model size.
Coral’s Design Philosophy: Smaller Models, Bigger Impact
Coral is an open, decentralized protocol aimed at scaling intelligence by linking agents rather than bloating single models. The architecture allows any LLM—regardless of size—to boost its performance through secure, parallel collaboration.
By proving that lightweight models can outperform conventional systems, Coral gives developers confidence to build nimble yet powerful applications. According to Forder, “We’ve proven that such models can scale beyond their previously known limits and outcompete the incumbents.”
Why GAIA Benchmark Matters
The GAIA Benchmark sets the bar for evaluating general-purpose AI agents. With 450 complex questions requiring multi-step reasoning and intensive data analysis, GAIA simulates tasks that challenge even skilled human experts. Coral’s top ranking underscores its readiness for real-world applications and sets a new standard for mini-model orchestration.
The Future of Agentic AI
Coral’s success comes amid growing competition to build the most efficient agent-based systems. While industry trends have long favored ever-larger models, Coral’s performance signals a change in direction—toward systems that are more affordable, secure, and adaptable.
Learn more about Coral Protocol here.
