2 /
Swarms Benchmark: Setting the Pace for Multi-Agent Performance
We benchmarked Swarms against eight leading AI agen | Hanami
2 /
Swarms Benchmark: Setting the Pace for Multi-Agent Performance
We benchmarked Swarms against eight leading AI agent frameworks, testing performance, memory efficiency, and scalability across workloads of up to 1,000 agents. The results highlight Swarms' speed and efficiency.
Highlights
- 28 of 48 comparisons won: Swarms outperformed competing frameworks in 28 benchmark comparisons.
- 11ms overhead at 100 agents: Near-instant orchestration with minimal framework overhead.
- 73ms overhead at 1,000 agents: Second-fastest performance across all tested agent counts.
- 2 threads for 1,000 agents: Efficient asynchronous execution without creating a thread for every agent.
- 1.6 MB peak memory at 100 agents: Significantly lower memory usage than most competing frameworks.
- 32µs agent construction: Fast agent initialization, improved from 180µs.
- 118x less overhead than CrewAI: At 1,000 agents, Swarms adds 73ms compared to CrewAI's 8,591ms.
Swarms combines high-speed execution, efficient resource utilization, and scalable multi-agent orchestration.
Learn more: https://www.swarms.ai/blog/swarms-vs-agent-frameworks-benchmark
Reply to @swarms_corp: Swarms vs. LangGraph, CrewAI, AutoGen and Five More: A Framework Overhead Benchmark
In our latest benchmark against 8 AI agent frameworks, Swarms delivered just 11ms of overhead at 100 agents and 73ms at 1,000 agents.
That's up to 62× less overhead at 100 agents and 118× less at 1,000 agents compared to competing frameworks. Swarms ranked 2nd fastest overall, led in 28 of 48 comparisons, and scaled massive agent workflows using just 2 threads.
Learn more ⬇️🧵