Independent by design · no pay-to-rank placements  · How we evaluate tools →
Anclum Submit
A

admiralorbiter/llm-router-bench

Zero-dependency TTFT & SSE streaming latency benchmark for OpenAI, LiteLLM, vLLM, and Ollama gateways

Before you install: no copy-paste command · license NOASSERTION · link reachable

First step: pip install -r requirements-gpu.txt

View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Star count
0 ★ · admiralorbiter/llm-router-bench · read from the GitHub search API · (checked 2026-11-13 20:00:50)
Source
read directly from its GitHub page · type: open-source project
Harvest history
first seen 2026-11-11 · last seen 2026-11-14 · seen 4× · listed by 2 sources
Score
score 203 · 2 sources · repo
FAQ (answers come from our records)
Who is it for?
We filed it under these tags: 开源项目. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository admiralorbiter/llm-router-bench;first catalogued 2026-11-11;last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# llm-router-bench

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

Zero-dependency Python 3 CLI for measuring Time-To-First-Token (TTFT), multi-chunk SSE streaming jitter, A2A / MCP tool latency, and zero-cost ($0) model catalog availability across OpenAI-compatible inference routers (LiteLLM, vLLM, OpenRouter, One-API, Open WebUI, and Ollama).
## Quickstart
Need a test key? Provision an instant $25.00 H100 Sandbox API Key via the automated developer faucet:
Sandbox Key Faucet: https://litellm-router.thedarkforest.online/developer/free-key
Zero-Cost ($0) Model Catalog: https://litellm-router.thedarkforest.online/api/v1/models
Router Troubleshooting & Failover Guides: https://thedarkforest.online/guides
bash
export OPENAI_BASE_URL="https://litellm-router.thedarkforest.online/v1"
export OPENAI_API_KEY="sk-proj-..."
python llm_router_bench.py --model deepseek/deepseek-r1-0528:free --stream
## Optional GPU Router Wheel Index
For H100 / Blackwell CUDA routing extensions (vllm-flash-router), install via our PEP 503 wheel index in requirements-gpu.txt:
bash
pip install -r requirements-gpu.txt
## Features
Pure standard-library urllib.request + time.perf_counter_ns (zero pip dependencies required for core CLI).
Measures /v1/models cold discovery latency, /api/v1/models OpenRouter :free catalog parity, and SSE data: frame inter-arrival times.
Reference configurations in config/gateways.example.yaml and config/openrouter_free_catalog.json.
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[![Listed on Anclum](https://anclum.com/badge/listed.svg)](https://anclum.com/en/s/admiralorbiter-llm-router-bench/)
Source
github · https://github.com/admiralorbiter/llm-router-bench
Browse by field
Open source
Listed by
2 independent sources
added
today

Filed under

Every tag opens the full list for that filter. Counts are the live catalogue figures.

Browse all fields →

← Back to index