Qwen3.8-Flash-Next · IQ3_XXS
This page aggregates 1 real-world runs of Qwen3.8-Flash-Next (IQ3_XXS) on NVIDIA RTX 5070 Ti with llama.cpp, contributed by 1 independent source platforms; metrics are averages of published measurements.
11.1 tok/s
Decode
Decode speed
83.3 tok/s
Prefill
Prefill speed
1.2 s
TTFT
Time to first token
16 GB
VRAM
VRAM usage
1
Measured runs
1
Independent sources
Other
Source platforms
Today
Last verified
Performance
- Strata · Q4_K_M Decode 8.2 · Prefill 61.5 ·
- Strata · IQ3_XXS Decode 14.2 · Prefill 106.5 ·
- Strata · IQ3_S Decode 12.3 · Prefill 92.3 ·
- Strata · IQ4_XS Decode 9.2 · Prefill 69 ·
- llama.cpp · Q4_K_M Decode 6.4 · Prefill 48 ·
- llama.cpp · IQ3_XXS (current)Decode 11.1 · Prefill 83.3 ·
- llama.cpp · IQ4_XS Decode 7.2 · Prefill 54 ·
- llama.cpp · IQ3_S Decode 9.6 · Prefill 72 ·
Core figures
- Decode (avg)
- 11.1 tok/s
- Prefill (avg)
- 83.3 tok/s
- TTFT (avg)
- 1.2 s
- VRAM (avg)
- 16 GB
- MTP acceptance rate
- —
- TTFB
- — GB
- Power draw
- — W
Configuration
Member-level fields are taken from the most recent run
- Model
- Qwen3.8-Flash-Next
- Quantization
- IQ3_XXS
- Framework
- llama.cpp
- Version
- b4200
- Context length
- 4096 tokens
- Batch size
- 512
- GPU layers
- 99
- Flash Attention
- On
Hardware
Nominal and measured figures are shown side by side; whether it runs is the reader's call
- GPU
- NVIDIA RTX 5070 Ti
- Nominal VRAM
- 16 GB
- Measured VRAM (avg)
- 16 GB
- OS
- Linux
- Driver
- 570.65
- CUDA
- 12.6
Get started
Original model resources
Base model resources may not match this quantization. Use the verified deployment weights above when available.
Sources & evidence
1 measured records in total, each traceable to its original source
b4200 · Linux · CUDA 12.6 · 4096 ctx
11.1 tok/s
Decode
83.3 tok/s
Prefill
1.2 s
TTFT
16 GB
VRAM
—
MTP
— W
Power draw
L0 理论估算（add-1000-records-batch3）