llamaperf

Qwen3.8 27B

on NVIDIA RTX 5070 Ti Laptop 12GB · llama.cpp · 98,304 ctx

Tone: positiveNVIDIA hardware
Sep 26, 2026
Throughput
9-11 t/s gen · 400-550 tokens/s prompt processing (prefill)Prompt processing measures input prefill speed; it does not tell you the time to first token.
Quant
UD_Q4_K_XL (GGUF)
KV cache
q8_0
System RAM
32 GB
VRAM reported
12 GB

Use cases

codingagenticlong-context

Summary

User reports Qwen 3.8 27B at ~9-11 t/s decode and 400-550 t/s prefill on an RTX 5070 Ti Laptop 12GB. Setup is llama.cpp with UD_Q4_K_XL quant, q8_0 KV cache, 98304 context, draft-mtp speculative decoding, and FFN weights offloaded to CPU. The user notes reasoning verbosity blows past 100K tokens in planning, and with Magic Context the session scaled past 3.7M total processed tokens.