Wan 2.2 Hardware Requirements
Still the local video workhorse: cinematic text-to-video and image-to-video with an Apache license and unmatched ComfyUI tooling. Its 5B variant is what made home video generation real on mid-range cards.
VRAM needed
24 GB
minimum 8 GB
Cheapest GPU that runs it: RTX 3060 (~$238 used)
Check Price on AmazonUpdated July 2026. Estimates — see methodology below.
Why Wan 2.2 is fast but VRAM-hungry
Wan 2.2 is a Mixture-of-Experts model: all 27B parameters must sit in memory, but each token only activates 14B of them. Memory capacity requirements are those of a 27B model, while speed is that of a 14B model — which is why MoE models feel so fast when they fit, and why Macs with large unified memory punch above their weight running them.
VRAM guidance
The 5B TI2V variant renders 720p on ~8GB; the full 27B MoE wants 16–24GB with FP8/GGUF quants. Wan 2.7 (Apr 2026) is newer, but 2.2 still has the deepest ComfyUI support.
Best GPUs for Wan 2.2
The cheapest way to run Wan 2.2 well.
The fastest single-GPU experience for Wan 2.2.
GPU Compatibility
Every GPU in our database, scored against Wan 2.2.
| GPU | VRAM | Verdict | 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 B570 | 10 GB | Tight fit | from $225 | Check price |
| RTX 4060 | 8 GB | Tight fit | ~$275 used | Check price |
| RX 7600 | 8 GB | Tight fit | from $250 | 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 |
| RTX 4060 Ti | 8 GB | Tight fit | ~$338 used | Check price |
| RTX 3070 | 8 GB | Tight fit | ~$338 used | Check price |
| RTX 5060 | 8 GB | Tight fit | from $325 | Check price |
| RX 7700 XT | 12 GB | Tight fit | ~$415 used | Check price |
| RX 6800 XT | 16 GB | Tight fit | ~$438 used | Check price |
| RTX 3080 | 10 GB | Tight fit | ~$463 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 |
| RX 7900 XT | 20 GB | Tight fit | ~$588 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 |
Frequently Asked Questions
How much VRAM do I need to run Wan 2.2?+
Wan 2.2 needs a minimum of 8GB of VRAM, with 24GB recommended for comfortable use. The 5B TI2V variant renders 720p on ~8GB; the full 27B MoE wants 16–24GB with FP8/GGUF quants. Wan 2.7 (Apr 2026) is newer, but 2.2 still has the deepest ComfyUI support.
What is the cheapest GPU that runs Wan 2.2?+
NVIDIA GeForce RTX 3060 (12GB, ~$238 used) is the cheapest current GPU in our database that runs Wan 2.2 fully in VRAM.
Is Wan 2.2 free for commercial use?+
Yes. Wan 2.2 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.