Find which open-weight LLMs fit in your GPU or Mac and compare the speeds people report on setups like yours.
Pick your GPU or Mac, then read the speeds people reported on it, or estimate which models fit and how fast they run.
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These are individual setups, not a controlled benchmark. Compare GPU count, quantization, context and offloading before comparing speeds. How to read a report →
Exact recorded values. Context may be a configured limit; matching filters does not establish identical prompts, offloading or concurrency.
4× NVIDIA V100 32GB · SGLang · 256,000 ctx
User reports prefill of about 4000 t/s and decode of about 60 t/s at 256k context on 4x V100 32GB. Setup offloads 50GB of ngram data to system RAM. MTP improves decode at low concurrency.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking