Benchmark: prefill dominates long-context LLM agents, KV head count beats parameter count

In agentic workloads at 65K-128K context, prefill time dominates inference latency, and KV head count is more predictive of performance than total parameters. The benchmark tested 13 models including Llama, Mistral, and Qwen variants.