#!/usr/bin/env python3 """Generate a side-by-side comparison of SGLang and vLLM results. Usage: python3 compare.py --sglang --vllm \ [--output comparison.md] """ import argparse import json from collections import defaultdict from pathlib import Path def load_result(result_root: Path) -> dict: path = result_root / "results.json" with open(path, "r", encoding="utf-8") as f: return json.load(f) def slo_status(ttft_p95_ms: float, tpot_mean_ms: float) -> str: # S2 tier targets from docs/SLO_STANDARDS.md. ttft_ok = ttft_p95_ms < 3000.0 tpot_ok = tpot_mean_ms < 50.0 if ttft_ok and tpot_ok: return "✅" if ttft_ok or tpot_ok: return "⚠️" return "❌" def main(): parser = argparse.ArgumentParser() parser.add_argument("--sglang", type=Path, required=True) parser.add_argument("--vllm", type=Path, required=True) parser.add_argument("-o", "--output", type=Path, default=Path("comparison.md")) args = parser.parse_args() sglang_data = load_result(args.sglang) vllm_data = load_result(args.vllm) by_scenario = defaultdict(dict) for data in (sglang_data, vllm_data): backend = data["metadata"]["engine"] for s in data.get("scenarios", []): key = s["name"] by_scenario[key][backend] = s with open(args.output, "w", encoding="utf-8") as f: f.write("# SGLang vs vLLM on DeepSeek-V4-Flash (H200, TP=8)\n\n") f.write("## Summary\n\n") f.write("- Model: `/data/models/DeepSeek-V4-Flash`\n") f.write("- Hardware: 8x NVIDIA H200 143GB\n") f.write("- Tensor Parallelism: 8\n") f.write("- Benchmark client: `sglang.bench_serving`\n") f.write("- SLO reference: S2 tier (TTFT P95 < 3s, TPOT < 50ms)\n\n") f.write("## Side-by-side results\n\n") f.write("| Scenario | Backend | Conc | Input | Output | Req/s | OutTok/s | TTFT P95(ms) | TTFT P99(ms) | TPOT Mean(ms) | TPOT P95(ms) | TPOT P99(ms) | E2E P99(ms) | SLO |\n") f.write("|---|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|\n") for scenario_name in sorted(by_scenario.keys()): for backend in ("sglang", "vllm"): s = by_scenario[scenario_name].get(backend) if s is None: continue cfg = s["config"] m = s["metrics"] status = slo_status(m["ttft_ms"]["p95"], m["tpot_ms"]["mean"]) f.write( f"| {scenario_name} | {backend} | {cfg['concurrency']} | {cfg['input_len']} | {cfg['output_len']} | " f"{m['request_throughput']:.2f} | {m['output_token_throughput']:.2f} | " f"{m['ttft_ms']['p95']:.2f} | {m['ttft_ms']['p99']:.2f} | " f"{m['tpot_ms']['mean']:.2f} | {m['tpot_ms']['p95']:.2f} | {m['tpot_ms']['p99']:.2f} | " f"{m['e2e_ms']['p99']:.2f} | {status} |\n" ) f.write("\n## Notes\n\n") f.write("- SLO check uses TTFT P95 and TPOT mean (the same criteria as `docs/SLO_STANDARDS.md`).\n") f.write("- A ⚠️ indicates one of the two metrics is out of target; ❌ indicates both are out.\n") print(f"Wrote comparison to {args.output}") if __name__ == "__main__": main()