Not All AI Agents Are Equal: Characterizing Resource and Performance Dynamics

arXiv:2609.19947 · cs.AI, cs.PF · Submitted 2026-09-17 · Read on arXiv

cs.AI, cs.PF

Submitted: 2026-09-17

Updated: 2026-09-17

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

Terminology

• Core — 94× in this paper · explained in 2 episodes
• Benchmark — 28× in this paper · explained in 2 episodes
• AI Agents — 21× in this paper · explained in 2 episodes
• RAG — 3× in this paper · explained in 3 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Agentic AI — 1× in this paper · explained in 1 episode
• Agentic Evaluation — 1× in this paper · explained in 1 episode
• Agentic Task — 1× in this paper · explained in 1 episode
• Agentic Tasks — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Berkeley Function-Calling Leaderboard — 1× in this paper
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Test-time Scaling — 1× in this paper · explained in 2 episodes

Sources

• A Cost-Benefit Analysis of On-Premise Large Language Model Deployment: Breaking Even with Commercial LLM Services
• Towards Understanding, Analyzing, and Optimizing Agentic AI Execution: A CPU-Centric Perspective
• AgentCgroup: Understanding and Controlling OS Resources of AI Agents
• The Faiss library
• Get Experience from Practice: LLM Agents with Record & Replay

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