§01·spec · /gpus
RTX 4090
nvidia40 series24GB VRAM
36 open-weights AI models run on the RTX 4090 — see which fit, how fast they go, and the VRAM each needs.
§02·models that run on this GPU
36 totalLLM · 15
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Llama 3.3 70B | 17.79tokens/s | 24GB | ✓ | 1benchrecipe | check ↗ |
| DeepSeek R1 Distill 14B | 10GB | ✓ | recipe | check ↗ | |
| Devstral Small 2 (24B) | 24GB | ✓ | recipe | check ↗ | |
| Gemma 4 12B | 24GB | ✓ | recipe | check ↗ | |
| gpt-oss 20B | 16GB | ✓ | recipe | check ↗ | |
| Laguna XS 2.1 | 24GB | ✓ | recipe | check ↗ | |
| Llama 3.1 8B | 10GB | ✓ | recipe | check ↗ | |
| Mistral Nemo 12B | 24GB | ✓ | recipe | check ↗ | |
| Mistral Small 3.2 24B | 24GB | ✓ | recipe | check ↗ | |
| North Mini Code 1.0 | 24GB | ✓ | recipe | check ↗ | |
| Ornith 1.0 35B | 24GB | ✓ | recipe | check ↗ | |
| Phi-4 | 24GB | ✓ | recipe | check ↗ | |
| Qwen3 14B | 10GB | ✓ | recipe | check ↗ | |
| Qwen3 32B | 22GB | ✓ | recipe | check ↗ | |
| Qwen3-8B | 6GB | ✓ | recipe | check ↗ |
Multimodal · 2
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Gemma 4 E4B-IT | 20GB | ✓ | recipe | check ↗ | |
| Gemma 4 26B MoE | 18GB | ✓ | recipe | check ↗ |
Image · 9
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Z-Image Turbo | 2.3s | 13GB | ✓ | 1benchrecipe | check ↗ |
| Flux.1 Dev | 1.85it/s | 24.564GB | ✓ | 1benchrecipe | check ↗ |
| Chroma V48 | 24GB | ✓ | recipe | check ↗ | |
| Flux.2-Klein-4B | 20GB | ✓ | 1benchrecipe | check ↗ | |
| HiDream-O1-Image | 20GB | ✓ | recipe | check ↗ | |
| Juggernaut Z | 16GB | ✓ | recipe | check ↗ | |
| Krea 2 | 16GB | ✓ | recipe | check ↗ | |
| LongCat Image | 18GB | ✓ | recipe | check ↗ | |
| Qwen-Image | 21GB | ✓ | recipe | check ↗ |
Video · 9
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Wan 2.2 14B | 4.33min | 24GB | ✓ | 1benchrecipe | check ↗ |
| Wan 2.1 | 4min | 8.19GB | ✓ | 1benchrecipe | check ↗ |
| CogVideoX 1.5 | 14GB | ✓ | recipe | check ↗ | |
| HunyuanVideo 1.5 | 14GB | ✓ | recipe | check ↗ | |
| LightX2V | 24GB | ✓ | recipe | check ↗ | |
| LTX-2 | 24GB | ✓ | recipe | check ↗ | |
| LTX-2.3 | 20GB | ✓ | recipe | check ↗ | |
| Mochi 1 | 20GB | ✓ | recipe | check ↗ | |
| WAN 2.2 | 24GB | ✓ | recipe | check ↗ |
3D · 1
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Waypoint 1.5 | 12GB | ✓ | recipe | check ↗ |
§03·tested recipes
showing 6 of 38- llmintermediate24GB+recipe
Gemma 4 12B on RTX 4090: Local Private Assistant via llama.cpp / Ollama (24GB)
- llmintermediate24GB+recipe
Phi-4 (14B) on RTX 4090: Local Private Assistant via llama.cpp / Ollama (24GB)
- llmintermediate24GB+recipe
Mistral Nemo 12B on RTX 4090: Local Private Assistant via llama.cpp / Ollama (24GB)
- llmintermediate24GB+recipe
Mistral Small 3.2 24B on RTX 4090: Local Private Assistant via llama.cpp / Ollama (24GB)
- llmadvanced24GB+recipe
North Mini Code 1.0 on RTX 4090: Local Agentic Coding via llama.cpp + OpenHands (24GB Ada Tier)
- llmintermediate24GB+recipe
Devstral Small 2 (24B) on RTX 4090: Local Agentic Coding via llama.cpp + OpenHands (24GB, the Vendor's Named Target)