Find which open-weight LLMs fit in your GPU or Mac and compare the speeds people report on setups like yours.
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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 5070 Ti Laptop 12GB · llama.cpp · 4,096 ctx
User compares Qwen3.8 27B dense at Q2 and Q3 against Qwen3.6 35B-A3B MoE on 12 GB of VRAM. The MoE was fastest and passed a sanity test, while dense Q3 ran at 7.5-9.1 t/s. The user prefers the MoE for local use.
NVIDIA RTX 5070 Ti Laptop 12GB · llama.cpp · 262,144 ctx
User reports Qwen 3.8 27B UD Q4_K_XL on an RTX 5070 Ti Mobile 12GB with llama.cpp, at roughly 1.5-5 t/s in a context-prioritized configuration and roughly 9-11.5 t/s in a speed-prioritized one. Setup uses a q8_0 KV cache, with context at 262144 in the first configuration and 98304 in the second. User praises the model's capability and instruction following.
On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking