llmperf Archived: A Guide to Active LLM Benchmarking Alternatives

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The ray-project/llmperf tool, once a leading open-source option for benchmarking OpenAI-compatible LLM endpoints, has been placed in archive mode and is no longer receiving updates or fixes. Its key limitations included per-request averaging of inter-token latency that masked decode-phase spikes, and Ray-based startup overhead that made quick endpoint checks cumbersome. Several actively maintained alternatives now fill different niches: aiperf and trtllm-bench offer GPU-level metrics, vllm-bench targets vLLM-specific testing, and GuideLLM provides visual dashboards. For teams needing a lightweight option, llmperf-rs is a single Rust binary that benchmarks any OpenAI-compatible endpoint with minimal setup and preserves raw inter-token latency values for accurate percentile reporting. The choice among tools largely depends on whether users need GPU-deep diagnostics, distributed load generation, or simply a fast, low-dependency endpoint check.

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