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.
M5 Pro 64GB · ds4 · 32,768 ctx
User reports 10-17 t/s in SSD streaming mode. Setup keeps routed experts partly in RAM cache and pulls them from the GGUF on cache misses. Experts and output head are Q8_0, while router, embeddings and V4 auxiliary blocks are FP16.
User reports 2.04 t/s with an 8 GB expert cache and 1.23 t/s with a 32 GB expert cache, streaming from SSD. Speculative decoding and prefetch both decreased throughput. Codebook 2-bit quantization failed the quality gate.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking