A Windows gaming PC user reports llama.cpp running about 2x faster than LM Studio on the same RTX 5080 setup

// 57d agoBENCHMARK RESULT

A Windows gaming PC user reports llama.cpp running about 2x faster than LM Studio on the same RTX 5080 setup

A Reddit user compares LM Studio against a self-compiled llama.cpp setup running in WSL on Windows 11 with an RTX 5080 and 64GB RAM. They say llama.cpp delivers roughly double the speed on Gemma 4 26B Q8 and Qwen 3 Coder Next unsloth Q4, while LM Studio remains the more convenient option but feels slower in this configuration.

// ANALYSIS

Hot take: this is a practical reminder that local LLM performance is often dominated by the serving stack, not just the model or GPU.

–The same hardware produced materially different throughput, which points to runtime/backend overhead rather than a model-specific issue.
–The user’s result is anecdotal, but it’s a useful signal for Windows/NVIDIA users who care more about tokens/sec than UI polish.
–llama.cpp looks like the better choice here for raw speed and tuning control; LM Studio still wins on ease of use and model management.
–This is best read as a benchmark-style community datapoint, not a definitive head-to-head test.

// TAGS

lm studiollamacpplocal-llmwindowswslbenchmarkgpunvidia

DISCOVERED

57d ago

2026-04-16

PUBLISHED

58d ago

2026-04-16

RELEVANCE

8/ 10

AUTHOR

EaZyRecipeZ

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