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 5060 Ti 16GB · LM Studio · 131,072 ctx
User reports that adding Mempalace as an MCP to LM Studio did not work properly, fetching memory only sometimes. The same setup used via Copilot Chat in VS Code Insiders may stop responding or modify only a small part of the code.
NVIDIA RTX 5060 Ti 16GB · LM Studio
User reports Qwen 3.8 27B at 50-60 t/s on two RTX 5060 Ti 16GB cards. Setup is LM Studio with Q4 quantization and MTP. A comparison to Qwen 3.6 gave 30 t/s with MTP, with an OS change from Windows to Linux. The user also downloaded NVFP4 but did not try it in vLLM.
2× NVIDIA RTX 5060 Ti 16GB · LM Studio
User reports a speed gap between LM Studio at 30-40 tok/s and raw llama-server at 50-55 tok/s on the same model and settings. The model is a Q6_K quant. User also asks about reasoning effort dropdown differences between lmstudio-community and Unsloth GGUFs.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking