llamaperf

Qwen3.8 reports

1266 reports. These are individual setups, not a controlled benchmark. Qwen3.8 speeds by hardware →

Tone: positiveNVIDIA hardware
generation:
60-63 tokens/s
quant:
Q6 (GGUF)

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

agenticcoding

User reports Qwen3.8-27B Q6 at 60-63 t/s on dual GPUs (RTX 3090 + RTX 3060). The run covered 20 hours of agentic coding.

Aug 28, 2026

Qwen3.8 27B Uncensored

NVIDIA RTX 4070 · llama.cpp · 100,100 ctx

Tone: mixedNVIDIA hardware
quant:
IQ4_XS (GGUF)
kv:
Q4
rpcreative-writingvisionlong-context

User reports running Qwen3.8-27B on 16 GB of VRAM with the IQ4_XS quant. Setup is MTP disabled, mmproj offloaded to CPU, and a Q4 KV cache, at roughly 100k context. User notes Windows VRAM overhead as a constraint.

Aug 28, 2026
Tone: positiveNVIDIA hardware
generation:
67.0 tokens/s
quant:
AD-Q4_K_M (GGUF)

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

creative-writing

User compares AD-Q4_K_M, AD-Q5_K_M, AD-Q6_K, and Q8_0 quants of Qwen 3.8 27B on an RTX PRO 6000, reporting top-1 accuracy and KLD against BF16. Generation speeds are 67, 57, 49, and 50 tok/s respectively. The user recommends AD-Q6_K as the safest pick.

Aug 28, 2026
Tone: positiveNVIDIA hardware
quant:
Q4 (GGUF)
codingcreative-writing

User reports running Qwen3.8-27b Q4 on an RTX 4090 to vibecode a Minecraft clone, with the model handling coding, audio, textures and 3D models. User is impressed with the capability and the cost, which came in under $1.

Aug 28, 2026
Tone: positiveApple hardware
quant:
mixed-4_8bit (MLX)
codingmath

User reports Qwen 3.8 27B as the first model to break 94% on the cupel benchmark. Setup is llama.cpp with the unsloth/Qwen3.8-Flash-Next-GGUF:UD-IQ4_XS quant, which outperformed other 4-bit quants. Qwen 3.8 27B outperformed in coding but lost in general knowledge to Gemma 31B and Qwen 3.6.

Aug 28, 2026
NVIDIA hardware
generation:
55.0 tokens/s
quant:
Q4 (GGUF)

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

User reports 55 t/s on 4x3090 with a Q4 GGUF.

Aug 28, 2026