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.
User reports about 30 t/s on an M5 Max with a quantized DeepSeek V4 Flash running on the DS4 engine. The user states this is double the speed of llama.cpp. The user asks for feedback from CUDA and ROCm users.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking