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.
Free to use. No account needed. Memory estimates and community measurements are labelled separately.
Search for a model to see its reported speeds across GPUs and Macs.
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 Qwen3.8:27b at 33.91 t/s on 2x RTX PRO 4000s and an RTX PRO 2000, up from 12.2 t/s. Splitting the GPUs across VMs produced the gain. User also reports muse-glimmer:30B at 22.61 t/s on the same setup, up from 14.3 t/s.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking