Qwen-Image Hardware Requirements
The text-rendering champion — no open model draws signage, UI mockups, or CJK typography better. 20B MMDiT with a serious editing variant, all under Apache 2.0.
VRAM needed
20 GB
minimum 12 GB
Cheapest GPU that runs it: RTX 3060 (~$238 used)
Check Price on AmazonUpdated July 2026. Estimates — see methodology below.
VRAM guidance
GGUF Q4 fits ~12GB; FP8 wants ~20GB; full BF16 ~40GB. The -2512 refresh and Qwen-Image-Edit share the same footprint.
Best GPUs for Qwen-Image
The cheapest way to run Qwen-Image well.
The fastest single-GPU experience for Qwen-Image.
GPU Compatibility
Every GPU in our database, scored against Qwen-Image.
| GPU | VRAM | Verdict | Price | |
|---|---|---|---|---|
| RX 7900 XT | 20 GB | Runs great | ~$588 used | Check price |
| RX 7900 XTX | 24 GB | Runs great | ~$838 used | Check price |
| RTX 3090 | 24 GB | Runs great | ~$1,150 used | Check price |
| RTX 4090 | 24 GB | Runs great | ~$2,375 used | Check price |
| RTX 5090 | 32 GB | Runs great | from $2,800 | Check price |
| RTX 3060 | 12 GB | Tight fit | ~$238 used | Check price |
| Arc B580 | 12 GB | Tight fit | from $250 | Check price |
| RX 6700 XT | 12 GB | Tight fit | ~$315 used | Check price |
| Arc A770 | 16 GB | Tight fit | from $300 | Check price |
| RX 7700 XT | 12 GB | Tight fit | ~$415 used | Check price |
| RX 6800 XT | 16 GB | Tight fit | ~$438 used | Check price |
| RX 7800 XT | 16 GB | Tight fit | ~$488 used | Check price |
| RTX 4070 | 12 GB | Tight fit | ~$500 used | Check price |
| RTX 4070 SUPER | 12 GB | Tight fit | ~$563 used | Check price |
| RTX 5060 Ti | 16 GB | Tight fit | from $550 | Check price |
| RX 9070 | 16 GB | Tight fit | from $575 | Check price |
| RTX 5070 | 12 GB | Tight fit | from $600 | Check price |
| RX 9070 XT | 16 GB | Tight fit | from $600 | Check price |
| RTX 4070 Ti SUPER | 16 GB | Tight fit | ~$750 used | Check price |
| RTX 4080 SUPER | 16 GB | Tight fit | ~$900 used | Check price |
| RTX 5070 Ti | 16 GB | Tight fit | from $900 | Check price |
| RTX 5080 | 16 GB | Tight fit | from $1,250 | Check price |
| Arc B570 | 10 GB | Partial offload | from $225 | |
| RTX 3080 | 10 GB | Partial offload | ~$463 used | |
| RTX 4060 | 8 GB | Not enough VRAM | ~$275 used | |
| RX 7600 | 8 GB | Not enough VRAM | from $250 | |
| RTX 4060 Ti | 8 GB | Not enough VRAM | ~$338 used | |
| RTX 3070 | 8 GB | Not enough VRAM | ~$338 used | |
| RTX 5060 | 8 GB | Not enough VRAM | from $325 |
Frequently Asked Questions
How much VRAM do I need to run Qwen-Image?+
Qwen-Image needs a minimum of 12GB of VRAM, with 20GB recommended for comfortable use. GGUF Q4 fits ~12GB; FP8 wants ~20GB; full BF16 ~40GB. The -2512 refresh and Qwen-Image-Edit share the same footprint.
What is the cheapest GPU that runs Qwen-Image?+
NVIDIA GeForce RTX 3060 (12GB, ~$238 used) is the cheapest current GPU in our database that runs Qwen-Image fully in VRAM.
Is Qwen-Image free for commercial use?+
Yes. Qwen-Image is released under the Apache 2.0, which permits commercial use.
Related Models
How we calculate these numbers
VRAM = model weights (parameters × bits per weight ÷ 8) + KV cache (architecture-specific bytes per token × context length) + ~1.2GB runtime overhead. Speed estimates assume decode is memory-bandwidth-bound at ~50% utilization (lower for MoE models, which pay routing overhead), matching typical llama.cpp performance on consumer cards; real results vary with runtime, drivers, and settings. Quant sizes reflect GGUF K-quants, which keep some layers at higher precision. Figures are estimates for planning, not guarantees — when in doubt, buy more VRAM than you need today. Prices shown are launch MSRP; mid-2026 street prices often run well above MSRP due to the ongoing memory shortage, and used 24GB cards are holding their value unusually well.