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.
NVIDIA RTX 4060 Ti 16GB · KoboldCpp
User reports Qwen3-30B-A3B at 15 t/s on an RTX 4060 Ti 16GB using TensorTune's smart tensor offloading. Setup is KoboldCpp with Q4_K_M quant, all layers on GPU with tensor offloading. The baseline with traditional layer offloading (30 layers) was 10 t/s, a 50% improvement.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking