§01·spec · /gpus
RTX 5090
nvidia50 series32GB VRAM
40 open-weights AI models run on the RTX 5090 — see which fit, how fast they go, and the VRAM each needs.
§02·models that run on this GPU
40 totalLLM · 14
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| gpt-oss 20B | 298.2tokens/s | 16GB | ✓ | 3benchesrecipe | check ↗ |
| Qwen3 30B-A3B | 226.1tokens/s | 19GB | ✓ | 2benchesrecipe | check ↗ |
| Qwen3-8B | 200.4tokens/s | 6GB | ✓ | 3benchesrecipe | check ↗ |
| Qwen3 14B | 123.8tokens/s | 17GB | ✓ | 3benchesrecipe | check ↗ |
| Qwen3 32B | 61.4tokens/s | 29GB | ✓ | 3benchesrecipe | check ↗ |
| DeepSeek R1 Distill 14B | 10GB | ✓ | recipe | check ↗ | |
| Devstral Small 2 (24B) | 32GB | ✓ | recipe | check ↗ | |
| Laguna XS 2.1 | 24GB | ✓ | recipe | check ↗ | |
| Llama 3.1 70B | 32GB | ✓ | recipe | check ↗ | |
| Llama 3.1 8B | 10GB | ✓ | recipe | check ↗ | |
| Mistral Small 3.2 24B | 32GB | ✓ | recipe | check ↗ | |
| North Mini Code 1.0 | 32GB | ✓ | recipe | check ↗ | |
| Ornith 1.0 35B | 32GB | ✓ | recipe | check ↗ | |
| Phi-4 | 32GB | ✓ | recipe | check ↗ |
Multimodal · 5
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Gemma 4 26B MoE | 180.3tokens/s | 29GB | ✓ | 2benchesrecipe | check ↗ |
| Qwen3.5 35B | 165.2tokens/s | 24GB | ✓ | 2benchesrecipe | check ↗ |
| Gemma4 31B | 61.1tokens/s | 20GB | ✓ | 2benchesrecipe | check ↗ |
| Qwen3.5 27B | 58.8tokens/s | 20GB | ✓ | 2benchesrecipe | check ↗ |
| Gemma 4 E4B-IT | 20GB | ✓ | recipe | check ↗ |
Image · 8
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Flux.1 Dev | 9.55s | 24GB | ✓ | 4benchesrecipe | check ↗ |
| Chroma V48 | 24GB | ✓ | recipe | check ↗ | |
| ERNIE-Image-Turbo | 24GB | ✓ | recipe | check ↗ | |
| Flux.2-Klein-4B | 9GB | ✓ | recipe | check ↗ | |
| HiDream-O1-Image | 17GB | ✓ | recipe | check ↗ | |
| Krea 2 | 16GB | ✓ | recipe | check ↗ | |
| LongCat Image | 18GB | ✓ | recipe | check ↗ | |
| Qwen-Image | 21GB | ✓ | recipe | check ↗ |
Video · 8
3D · 4
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Hunyuan3D | 29GB | ✓ | recipe | check ↗ | |
| TRELLIS.2-4B | 24GB | ✓ | recipe | check ↗ | |
| TRELLIS image-large | 16GB | ✓ | recipe | check ↗ | |
| Waypoint 1.5 | 12GB | ✓ | recipe | check ↗ |
TTS · 1
| Model | Best speed | Min VRAM | Works | Evidence | |
|---|---|---|---|---|---|
| Kokoro TTS | 3GB | ✓ | recipe | check ↗ |
§03·tested recipes
showing 6 of 40- llmintermediate32GB+recipe
Phi-4 (14B) on RTX 5090: Local Private Assistant via llama.cpp / Ollama (32GB)
- llmintermediate32GB+recipe
Mistral Small 3.2 24B on RTX 5090: Local Private Assistant via llama.cpp / Ollama (32GB)
- llmintermediate32GB+recipe
Devstral Small 2 (24B) on RTX 5090: Local Agentic Coding via llama.cpp + OpenHands (32GB Quality Tier, near-lossless Q8_0)
- llmadvanced24GB+recipe
Laguna XS 2.1 on RTX 5090: Local Agentic Coding via Ollama / llama.cpp + OpenHands (32GB Tier)
- llmadvanced32GB+recipe
North Mini Code 1.0 on RTX 5090: Local Agentic Coding via llama.cpp + OpenHands (32GB Blackwell Tier)
- llmadvanced32GB+recipe
Ornith 1.0 35B on RTX 5090: Comfortable Local Agentic Coding via llama.cpp + OpenHands (32GB Tier)