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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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 4080 Super · LM Studio
User reports Qwen3.8 27B running at 10 tokens per second on an RTX 4080 Super with an i9-14900K and 64GB of RAM. Setup is LM Studio serving over the local network, with the model downloaded through the app; quant, context length and KV cache are not stated. The user is asking what speed to expect as a baseline and how to run the model more effectively, and also wants image input support.
NVIDIA RTX 4080 Super · LM Studio
User reports Qwen3.8-27B at ~39 tok/s fully GPU-offloaded on an RTX 4080 SUPER 16GB, with ~200-230 ms TTFT on short tasks. Setup is LM Studio on Windows 11 with the Ubuntu Codex CLI, on a 5800X3D with 3000mhz DDR4. On a real 26K-token workload the speed is ~34 tok/s. The user finds it surprisingly capable for local coding and agent work but too inconsistent to replace a hosted model, and an excellent local workhorse for bounded tasks.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking