What Can the NVIDIA RTX 4090 Run?
24 GB · compatibility with 168 AI models
Short answer: the NVIDIA RTX 4090 (24 GB) can run 166 of 168 AI image, video, 3D and audio models we track. Best picks: MiniMax H3 FL2VA, MiniMax H3 Ref2VA, Qwen-Image 2.1, Z-Image Turbo, WAN 2.2 T2V A14B (MoE). Ada Lovelace flagship.
| Perfect | Great | Good | Usable | Barely | Can't Run |
|---|---|---|---|---|---|
| 90 models | 64 models | 12 models | 0 models | 0 models | 2 models |
NVIDIA RTX 4090 specs for AI
| Brand | NVIDIA |
|---|---|
| Series | RTX 40 |
| VRAM | 24 GB |
| Architecture | ada |
| FP16 compute | 82.6 TFLOPS |
| Memory bandwidth | 1008 GB/s |
| FP8 support | Yes |
| Released | 2022 |
| Launch price | $1599 |
AI models on the NVIDIA RTX 4090
Each model uses the best format that fits in 24 GB. How ratings work.
Text to Image
| Model | Rating | Runs as | VRAM used | Speed |
|---|---|---|---|---|
| Stable Diffusion 1.5 | Perfect | FP16 | 4 GB | Fast |
| Stable Diffusion 1.4 | Perfect | FP16 | 4 GB | Fast |
| Stable Diffusion 2.1 | Perfect | FP16 | 5 GB | Fast |
| Stable Diffusion 2.0 | Perfect | FP16 | 5 GB | Fast |
| SDXL Base 1.0 | Perfect | FP16 | 7 GB | Fast |
| SDXL Turbo | Perfect | FP16 | 7 GB | Fast |
| Animagine XL 3.1 | Perfect | FP16 | 7 GB | Fast |
| Pony Diffusion v6 XL | Perfect | FP16 | 7 GB | Fast |
| NoobAI XL | Perfect | FP16 | 7 GB | Fast |
| Juggernaut XL Ragnarok | Perfect | FP16 | 7 GB | Fast |
| SDXL Lightning 4-step | Perfect | FP16 | 7 GB | Fast |
| DreamShaper XL | Perfect | FP16 | 7 GB | Fast |
| Illustrious XL v1.0 | Perfect | FP16 | 7 GB | Fast |
| Playground v2.5 2.6B | Perfect | FP16 | 7 GB | Fast |
| RealVisXL v5.0 | Perfect | FP16 | 7 GB | Fast |
| Epicrealism XL | Perfect | FP16 | 7 GB | Fast |
| PixArt-Sigma 900M | Perfect | FP16 | 7 GB | Fast |
| PixArt-Alpha 600M | Perfect | FP16 | 6 GB | Fast |
| Stable Diffusion 3 Medium (2B) | Perfect | FP16 | 7 GB | Fast |
| SDXL Hyper 1-step | Perfect | FP16 | 7 GB | Fast |
| Stable Diffusion 3.5 Medium (2.5B) | Perfect | FP16 | 8 GB | Fast |
| HunyuanDiT 1.5B | Perfect | FP16 | 8 GB | Fast |
| Z-Image Turbo | Perfect | FP16 | 10 GB | Fast |
| MOSS-Image 5B | Great | FP16 | 12 GB | Fast |
| Flux.2 Klein 4B | Great | FP16 | 13 GB | Fast |
| Flux.1 Lite | Great | FP16 | 12 GB | Fast |
| AuraFlow 0.3 | Great | FP16 | 12 GB | Fast |
| Qwen-Image 2.1 | Great | FP16 | 14 GB | Fast |
| Z-Image Base | Great | FP16 | 14 GB | Fast |
| Ming-Image 0.1 Design | Great | FP16 | 14 GB | Fast |
| Kolors | Great | FP16 | 14 GB | Fast |
| Krea 2 Turbo | Great | FP8 | 13 GB | Fast |
| ERNIE-Image 8B | Great | FP16 | 16 GB | Fast |
| HiDream-O1-Image 8.8B | Great | FP16 | 16 GB | Fast |
| Seedream 3.0 | Great | FP16 | 16 GB | Fast |
| GLM-Image | Great | FP16 | 16 GB | Fast |
| FLUX.2 Klein 9B | Great | FP16 | 18 GB | Fast |
| Stable Diffusion 3.5 Large (8B) | Great | FP16 | 18 GB | Fast |
| Stable Diffusion 3.5 Large Turbo | Great | FP16 | 18 GB | Fast |
| Chroma1 HD | Great | FP16 | 18 GB | Fast |
| Ideogram 4.0 | Great | FP16 | 19 GB | Fast |
| HunyuanImage 3.0 | Great | FP16 | 20 GB | Fast |
| Qwen-Image 2512 (20B) | Great | FP8 | 21 GB | Fast |
| Flux.2 Dev 32B | Great | GGUF Q4 | 18 GB | Moderate |
| Flux.1 Dev 12B | Good | FP16 | 24 GB | Fast |
| Flux.1 Schnell 12B | Good | FP16 | 24 GB | Fast |
| FLUX.1 Krea Dev | Good | FP16 | 24 GB | Fast |
Image to Image
| Model | Rating | Runs as | VRAM used | Speed |
|---|---|---|---|---|
| SD 1.5 img2img | Perfect | FP16 | 4 GB | Fast |
| InstructPix2Pix | Perfect | FP16 | 5 GB | Fast |
| SDXL img2img | Perfect | FP16 | 7 GB | Fast |
| IP-Adapter FaceID SDXL | Perfect | FP16 | 10 GB | Fast |
| IP-Adapter SDXL | Perfect | FP16 | 9 GB | Fast |
| Mage-Flow 4B | Perfect | FP16 | 10 GB | Fast |
| LongCat-Image Edit | Great | FP16 | 15 GB | Fast |
| Boogu-Image Edit | Great | FP16 | 21 GB | Fast |
| Qwen-Image-Edit 2511 | Great | FP8 | 21 GB | Fast |
| Flux.1 Dev img2img 12B | Good | FP16 | 24 GB | Fast |
| Flux Kontext Dev | Good | FP16 | 24 GB | Fast |
Inpainting
| Model | Rating | Runs as | VRAM used | Speed |
|---|---|---|---|---|
| SD 1.5 Inpainting | Perfect | FP16 | 4 GB | Fast |
| SDXL Inpainting | Perfect | FP16 | 7 GB | Fast |
| PowerPaint v2.1 | Perfect | FP16 | 7 GB | Fast |
| BrushNet | Perfect | FP16 | 8 GB | Fast |
| Flux.1 Fill Dev | Good | FP16 | 24 GB | Fast |
ControlNet
| Model | Rating | Runs as | VRAM used | Speed |
|---|---|---|---|---|
| ControlNet SD 1.5 | Perfect | FP16 | 5 GB | Fast |
| T2I-Adapter SDXL | Perfect | FP16 | 8 GB | Fast |
| ControlNet SDXL | Perfect | FP16 | 9 GB | Fast |
| ControlNet Flux | Great | FP8 | 14 GB | Fast |
Video
| Model | Rating | Runs as | VRAM used | Speed |
|---|---|---|---|---|
| WAN 2.1 T2V 1.3B | Perfect | FP16 | 6 GB | Fast |
| AnimateDiff Lightning | Perfect | FP16 | 6 GB | Fast |
| AnimateDiff v3 (SD 1.5) | Perfect | FP16 | 6 GB | Fast |
| ZeroScope v2 576w | Perfect | FP16 | 6 GB | Fast |
| AnimateDiff V2V | Perfect | FP16 | 6 GB | Fast |
| AnimateDiff I2V | Perfect | FP16 | 6 GB | Fast |
| Stable Video Diffusion 1.1 | Perfect | FP16 | 8 GB | Fast |
| CogVideoX 2B | Perfect | FP16 | 8 GB | Fast |
| ModelScope T2V | Perfect | FP16 | 8 GB | Fast |
| TokenFlow | Perfect | FP16 | 8 GB | Fast |
| Latte | Perfect | FP16 | 8 GB | Fast |
| SEINE | Perfect | FP16 | 8 GB | Fast |
| LTX-Video 0.9 (2B) | Perfect | FP16 | 10 GB | Fast |
| LTX-Video I2V | Perfect | FP16 | 10 GB | Fast |
| Stable Video Diffusion XT 1.1 (25 frames) | Perfect | FP16 | 10 GB | Fast |
| DynamiCrafter 512 | Perfect | FP16 | 10 GB | Fast |
| Kandinsky 6.0 Video Lite 3B | Perfect | FP16 | 9 GB | Fast |
| WAN 2.2 TI2V 5B | Great | FP16 | 12 GB | Fast |
| AnimateDiff SDXL | Great | FP16 | 12 GB | Fast |
| Waver 1.0 | Great | FP16 | 12 GB | Fast |
| CogVideoX 5B | Great | FP16 | 14 GB | Fast |
| CogVideoX 5B I2V | Great | FP16 | 14 GB | Fast |
| SkyReels V1 | Great | FP16 | 14 GB | Fast |
| SkyReels V1 I2V | Great | FP16 | 14 GB | Fast |
| WAN 2.2 T2V A14B (MoE) | Great | FP8 | 14 GB | Fast |
| WAN 2.2 I2V A14B | Great | FP8 | 14 GB | Fast |
| WAN 2.1 T2V 14B | Great | FP8 | 14 GB | Fast |
| WAN 2.1 I2V 480P 14B | Great | FP8 | 14 GB | Fast |
| WAN 2.1 V2V | Great | FP8 | 14 GB | Fast |
| LTX-Video 13B | Great | FP8 | 14 GB | Fast |
| LongCat-Video 13.6B | Great | FP8 | 14 GB | Fast |
| SkyReels V3 R2V 14B | Great | FP8 | 15 GB | Fast |
| WAN 2.1 I2V 720P 14B | Great | FP8 | 16 GB | Fast |
| HunyuanVideo T2V v1.5 | Great | FP8 | 16 GB | Fast |
| HunyuanVideo I2V v1.5 | Great | FP8 | 16 GB | Fast |
| HunyuanVideo 13B T2V | Great | FP8 | 16 GB | Fast |
| HunyuanVideo I2V | Great | FP8 | 16 GB | Fast |
| FramePack I2V HY FP8 | Great | FP8 | 16 GB | Fast |
| DynamiCrafter 1024 | Great | FP16 | 18 GB | Fast |
| Wan 2.2 S2V 14B | Great | FP8 | 17 GB | Fast |
| Wan-Animate-2 14B | Great | FP8 | 17 GB | Fast |
| SCAIL-2 14B | Great | FP8 | 17 GB | Fast |
| Wan-Dancer 14B | Great | FP8 | 17 GB | Fast |
| HuMo 17B | Great | FP8 | 17 GB | Fast |
| Wan 2.2 Animate 14B | Great | FP8 | 18 GB | Fast |
| LTX-2 19B | Great | FP8 | 19 GB | Fast |
| MiniMax H3 FL2VA | Great | FP8 | 20 GB | Fast |
| MiniMax H3 Ref2VA | Great | FP8 | 20 GB | Fast |
| LTX-2.5 22B | Great | FP8 | 21 GB | Fast |
| LTX-2.3 22B | Great | FP8 | 21 GB | Fast |
| Mochi 1 10B | Great | FP8 | 22 GB | Fast |
| Ovi 1.1 | Great | FP16 | 23 GB | Fast |
| Open-Sora 2.0 (11B) | Good | FP16 | 24 GB | Fast |
| MAGI-1 | Good | FP16 | 24 GB | Fast |
| MOVA | Can't Run | — | needs 29 GB | — |
Upscaler
| Model | Rating | Runs as | VRAM used | Speed |
|---|---|---|---|---|
| 4x-UltraSharp | Perfect | FP32 | 0.3 GB | Fast |
| 4x-Remacri | Perfect | FP32 | 0.3 GB | Fast |
| SwinIR | Perfect | FP32 | 0.5 GB | Fast |
| RealESRGAN x4plus | Perfect | FP32 | 0.3 GB | Fast |
| HAT | Perfect | FP32 | 0.5 GB | Fast |
| DAT | Perfect | FP32 | 0.5 GB | Fast |
| ScuNET | Perfect | FP32 | 0.3 GB | Fast |
| LDSR | Perfect | FP16 | 4 GB | Fast |
| SeedVR2 3B | Perfect | FP16 | 9 GB | Fast |
| SeedVR2 7B | Great | FP16 | 16 GB | Fast |
Face/Restore
| Model | Rating | Runs as | VRAM used | Speed |
|---|---|---|---|---|
| GFPGAN v1.4 | Perfect | FP32 | 0.3 GB | Fast |
| CodeFormer v0.1 | Perfect | FP32 | 0.3 GB | Fast |
VAE
| Model | Rating | Runs as | VRAM used | Speed |
|---|---|---|---|---|
| SD 1.5 VAE ft-mse | Perfect | FP32 | 0.2 GB | Fast |
| Flux VAE | Perfect | FP32 | 0.3 GB | Fast |
| SDXL VAE | Perfect | FP32 | 0.3 GB | Fast |
| TAESD / TAESDXL | Perfect | FP32 | 0.1 GB | Fast |
3D
| Model | Rating | Runs as | VRAM used | Speed |
|---|---|---|---|---|
| TripoSR | Perfect | FP16 | 4 GB | Fast |
| Shap-E | Perfect | FP16 | 4 GB | Fast |
| InstantMesh | Perfect | FP16 | 6 GB | Fast |
| Zero123++ v1.2 | Perfect | FP16 | 6 GB | Fast |
| LGM | Perfect | FP16 | 8 GB | Fast |
| One-2-3-45 | Perfect | FP16 | 8 GB | Fast |
| Hunyuan3D 2.1 | Perfect | FP16 | 10 GB | Fast |
| SV3D | Perfect | FP16 | 10 GB | Fast |
| Hunyuan3D 2.0 | Great | FP16 | 12 GB | Fast |
| Pixal3D | Great | FP16 | 14 GB | Fast |
| TRELLIS.2 4B | Good | FP16 | 24 GB | Fast |
| SAM 3D Objects | Can't Run | — | needs 32 GB | — |
Audio
| Model | Rating | Runs as | VRAM used | Speed |
|---|---|---|---|---|
| MusicGen Small (300M) | Perfect | FP16 | 2 GB | Fast |
| XTTS v2 | Perfect | FP16 | 3 GB | Fast |
| Stable Audio 3 Small-SFX | Perfect | FP16 | 3 GB | Fast |
| Whisper Large v3 | Perfect | FP16 | 4 GB | Fast |
| Qwen3-TTS 1.7B | Perfect | FP16 | 5 GB | Fast |
| Chatterbox Multilingual | Perfect | FP16 | 4 GB | Fast |
| MMAudio Large 44k | Perfect | FP16 | 4 GB | Fast |
| Stable Audio Open | Perfect | FP16 | 4 GB | Fast |
| MusicGen Medium (1.5B) | Perfect | FP16 | 6 GB | Fast |
| VibeVoice 1.5B | Perfect | FP16 | 7 GB | Fast |
| Stable Audio 3 Medium | Perfect | FP16 | 7 GB | Fast |
| IndexTTS 2.5 | Perfect | FP16 | 6 GB | Fast |
| ACE-Step 1.5 Turbo | Perfect | FP16 | 8 GB | Fast |
| Bark | Perfect | FP16 | 8 GB | Fast |
| MusicGen Large (3.3B) | Great | FP16 | 12 GB | Fast |
| YuE2 3B | Good | FP16 | 24 GB | Fast |
| MiniMax Music 3 | Good | FP16 | 24 GB | Fast |
| Fish Audio S2 Pro 4B | Good | FP16 | 24 GB | Fast |
Frequently asked questions
How much VRAM does the NVIDIA RTX 4090 have?
The NVIDIA RTX 4090 has 24 GB of VRAM with 1008 GB/s of memory bandwidth.
What AI models can the NVIDIA RTX 4090 run?
It can run 166 of the 168 AI models we track: 90 perfectly (S), 64 great (A), 12 good (B), 0 usable (C) and 0 barely (D). 2 need more VRAM than it has.
Can the NVIDIA RTX 4090 run MiniMax H3 FL2VA?
Yes, in FP8 (rating A, great).
Can the NVIDIA RTX 4090 run MiniMax H3 Ref2VA?
Yes, in FP8 (rating A, great).
Can the NVIDIA RTX 4090 run Qwen-Image 2.1?
Yes, in FP16 (rating A, great).
Can the NVIDIA RTX 4090 run Z-Image Turbo?
Yes, in FP16 (rating S, perfect).