OPEN LINK ↗
// 84d agoNEWS
LocalLLaMA flags LM Studio speed gap
A Reddit thread reports Qwen3.5-35B-A3B running at about 16 tok/s in LM Studio versus about 40 tok/s with direct llama.cpp on the same Windows RTX 5070 Ti setup. Community replies point to runtime/version differences and conservative LM Studio defaults (GPU offload and guardrails) as likely causes.
// ANALYSIS
This is less about one bad benchmark and more about how much wrapper defaults can hide raw inference performance.
- –Direct llama.cpp runs often expose newer optimizations first, especially for fresh MoE releases.
- –LM Studio can look slower when guardrails or partial offload settings keep too much work off GPU.
- –For local AI developers, matching backend version and runtime flags matters as much as model quantization.
- –The thread reinforces a common workflow: tune in GUI for convenience, validate in CLI for peak throughput.
// TAGS
lm-studiollminferencegpudevtool
DISCOVERED
84d ago
2026-03-05
PUBLISHED
84d ago
2026-03-04
RELEVANCE
8/ 10
AUTHOR
No-Head2511