🚀 BENCHMARK
By Elena·2026-08-02·6 min read
2026 Autonomous Agent Benchmark: n8n vs Custom Python Frameworks
#n8n#benchmarks#python#agents
Our lab ran 1,000 production workloads comparing n8n self-hosted instances against custom FastAPI + LangGraph python agents.
Benchmark Methodology
Each framework was assigned identical email classification, database upsert, and Slack notification tasks under 100 RPS load.
Latency & Throughput Results
n8n demonstrated 99.4% uptime with an average node transition overhead of just 12ms.
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Community Discussion (2)
Community Member·Just now
Great technical breakdown! The hybrid thinking mode in Claude 3.7 really simplifies multi-step agent graphs.
Community Member·Just now
Exceeded expectations on SWE-bench. Very excited to implement this with our n8n workflows!