Find which open-weight LLMs fit in your GPU or Mac and compare the speeds people report on setups like yours.
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Exact recorded values. Context may be a configured limit; matching filters does not establish identical prompts, offloading or concurrency.
NVIDIA A100 80GB · vLLM
User reports Qwen3.8-27B at ~18 tokens/s on an NVIDIA A100 80GB, compared with ~62 tokens/s for Qwen3.6-27B on the same hardware. Setup is vLLM with unquantized (BF16/FP16) weights, same context length and prompt for both models. User asks whether the 3.4x gap is expected and whether vLLM version, FlashAttention kernels, or Qwen3.8-specific configuration could explain it.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking