The Cost of a Hop: Benchmarking NLIP and A2A

arXiv:2610.04053 · cs.AI · Submitted 2026-10-02 · Read on arXiv

cs.AI

Submitted: 2026-10-02

Updated: 2026-10-02

Code: https://github.com/nlip-project/nlip_a2a_benchmark

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmarking — 1× in this paper · explained in 4 episodes

Sources

• The Rise and Potential of Large Language Model Based Agents: A Survey
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• A survey of agent interoperability protocols: Model Context Protocol (MCP), Agent Communication Protocol (ACP), Agent-to-Agent Protocol (A2A), and Agent Network Protocol (ANP)
• A Survey of AI Agent Protocols
• ProtocolBench: Which LLM MultiAgent Protocol to Choose?
• Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
• Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems
• On Evaluating Performance of LLM Inference Serving Systems
• Eficiency of REST and gRPC realizing communication tasks in microservice-based ecosystems
• LLM-Inference-Bench: Inference Benchmarking of Large Language Models on AI Accelerators
• MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

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