Qwen3-VL-8B-Instruct

Qwen family · 9.0B params

1recorded run

58.8best tok/s

1verified

Evidence: 1 sourced run · 1 independent source · first recorded Aug 4, 2026. What these labels mean.

What the Qwen3-VL-8B-Instruct numbers mean

The fastest verified result on our board is 58.8 output tok/s on an Radeon AI Pro R9700 x3 at Q8_0 with a 786-token context. That is about 17.0 ms per generated token — 500 tokens takes roughly 8.5 seconds. Prompt processing on the same record runs at 3037.9 tok/s, so a 2,000-token prompt is read in about 0.7 seconds. Peak VRAM was measured at 15.5 GB.

How much VRAM does Qwen3-VL-8B-Instruct need?

Qwen3-VL-8B-Instruct has 9.0B parameters. These estimates use the same formula as the VRAM calculator: weights, plus about 15% for a moderate-context KV cache and runtime overhead, plus a small engine floor.

Quantisation	Estimated VRAM	Smallest card that fits
Q4_K_M (4-bit)	6.6 GB	8 GB
Q8_0 (8-bit)	11.8 GB	16 GB
FP16 (16-bit)	21.5 GB	32 GB

Long contexts and large batches raise the real number — read the smallest card as "possible with a reduced context". Measured throughput is on the benchmark board.

Fastest GPUs for this model (best tok/s)

Radeon AI Pro R9700 x358.8

Models with a similar footprint

Model	Params	Q4_K_M weights
Carnice-9b	9B	5.1 GB
DeepSeek-V4-Pro-Qwen3.5-9B-MTP	9B	5.1 GB
Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-i1	9B	5.1 GB
NVIDIA-Nemotron-Nano-9B-v2	9B	5.1 GB
Ornith-1.0-9B	9B	5.1 GB
Qwen3.5-9B-MTP	9B	5.1 GB

Ranked by distance from Qwen3-VL-8B-Instruct's parameter count. Full benchmark board.

All benchmarks Methodology

GPU	Model	Quant	Backend	Ctx	tok/s	prompt tok/s	VRAM GB	Source
Radeon AI Pro R9700 x3 · 32 GB	Qwen3-VL-8B-Instruct	Q8_0	llama.cpp b10107	786	58.8 ✓	3037.9	15.5	src