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 Qwen3.6 35B-A3B at 61.7 t/s generation and 276.8 t/s prompt processing on a Mac mini with Apple M2 Pro and 32 GB unified memory. Setup is mlx-lm 0.31.3 with MLX 0.31.2, MLX 4-bit group-64 weights of about 19.0 GiB, temperature 0 and --max-tokens 128. The figures are medians of three runs on a 490-token prompt with 128 tokens generated; peak memory was 20.261 GB per run.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking