§01·spec · /gpus
RTX 3090 Ti
nvidia30 series24GB VRAM
30 open-weights AI models run on the RTX 3090 Ti — see which fit, how fast they go, and the VRAM each needs.
§02·models that run on this GPU
30 totalLLM · 12
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Qwen3 30B-A3B | 166.9tokens/s | 24GB | ✓ | 2benchesrecipe | check ↗ |
| gpt-oss 20B | 160.3tokens/s | 24GB | ✓ | 2benchesrecipe | check ↗ |
| Qwen3-8B | 123.7tokens/s | 24GB | ✓ | 2benchesrecipe | check ↗ |
| Qwen3 14B | 76.2tokens/s | 24GB | ✓ | 2benchesrecipe | check ↗ |
| Qwen3 32B | 38tokens/s | 24GB | ✓ | 2benchesrecipe | check ↗ |
| DeepSeek R1 Distill 14B | 12GB | ✓ | recipe | check ↗ | |
| Devstral Small 2 (24B) | 24GB | ✓ | recipe | check ↗ | |
| Laguna XS 2.1 | 24GB | ✓ | recipe | check ↗ | |
| Llama 3.1 8B | 10GB | ✓ | 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 ↗ |
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 | |
|---|---|---|---|---|---|
| Flux.1 Dev | 30s | 24GB | ✓ | 2benchesrecipe | check ↗ |
| Chroma V48 | 24GB | ✓ | recipe | check ↗ | |
| Flux.2-Klein-4B | 13GB | ✓ | recipe | check ↗ | |
| HiDream-O1-Image | 20GB | ✓ | recipe | check ↗ | |
| Juggernaut Z | 16GB | ✓ | recipe | check ↗ | |
| Krea 2 | 16GB | ✓ | recipe | check ↗ | |
| LongCat Image | 18GB | ✓ | recipe | check ↗ | |
| Qwen-Image | 13GB | ✓ | recipe | check ↗ | |
| Z-Image Turbo | 16GB | ✓ | recipe | check ↗ |
Video · 6
3D · 1
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Waypoint 1.5 | 12GB | ✓ | recipe | check ↗ |
§03·tested recipes
showing 6 of 30- llmintermediate24GB+recipe
Mistral Small 3.2 24B on RTX 3090 Ti: Local Private Assistant via llama.cpp / Ollama (24GB)
- llmintermediate24GB+recipe
Devstral Small 2 (24B) on RTX 3090 Ti: Local Agentic Coding via llama.cpp + OpenHands (24GB, Faster Ampere)
- llmadvanced24GB+recipe
Laguna XS 2.1 on RTX 3090 Ti: Local Agentic Coding via Ollama / llama.cpp + OpenHands (24GB Tier)
- llmadvanced24GB+recipe
North Mini Code 1.0 on RTX 3090 Ti: Local Agentic Coding via llama.cpp + OpenHands (24GB Entry Tier)
- llmadvanced24GB+recipe
Ornith 1.0 35B on RTX 3090 Ti: Local Agentic Coding via llama.cpp + OpenHands (24GB Entry Tier)
- imagebeginner24GB+recipe
Flux.1 Dev on RTX 3090 Ti: ComfyUI Image Generation Guide