What does your model need?
Find an open model, see the GPU memory it takes to run or fine-tune, and the cheapest GPU that fits.
652 models. Memory marked ~ is an estimate from the model's size. Prices are full price for one GPU in stock, without VAT.
| Model | Task | GPU memory | Cheapest GPU that fits | Parameters | Downloads | License |
|---|---|---|---|---|---|---|
| RealVisXL_V5.0_Lightning SG161222 | Text to image | — | — | 2.6B | 98.5K | OpenRAIL++ |
| dreamshaper-xl-v2-turbo Lykon | Text to image | — | — | 2.6B | 97.4K | OpenRAIL++ |
| VibeVoice-ASR-BitNet microsoft | Automatic speech recognition | — | — | 2.8B | 96.8K | MIT |
| voyage-4-nano MongoDB | Feature extraction | ~0.8 GB | €0.04/h RTX 3060 | 0.3B | 95.3K | Apache 2.0 |
| LUSTIFY-v2.0 shootstuff | Text to image | — | — | 2.6B | 95.1K | — |
| MOSS-Audio-Tokenizer OpenMOSS-Team | Feature extraction | ~4 GB | €0.04/h RTX 3060 | 1.8B | 94K | Apache 2.0 |
| stable-diffusion-xl-1.0-inpainting-0.1 diffusers | Text to image | — | — | 2.6B | 93.6K | OpenRAIL++ |
| Counterfeit-V2.5 gsdf | Text to image | — | — | 0.9B | 91.7K | creativeml-openrail-m |
| amanatsu-illustrious-v11-sdxl John6666 | Text to image | — | — | 2.6B | 90.2K | Other |
| Wan2.1-T2V-1.3B Wan-AI | Text to video | — | — | 1.4B | 89.5K | Apache 2.0 |
| noobai-XL-Vpred-1.0 Laxhar | Text to image | — | — | 2.6B | 88.4K | Other |
| kobert monologg | Feature extraction | ~0.2 GB | €0.04/h RTX 3060 | 0.1B | 86.9K | Apache 2.0 |
| jina-embeddings-v2-base-de jinaai | Feature extraction | ~0.4 GB | €0.04/h RTX 3060 | 0.2B | 86.9K | Apache 2.0 |
| granite-embedding-311m-multilingual-r2 ibm-granite | Feature extraction | ~0.7 GB | €0.04/h RTX 3060 | 0.3B | 85.8K | Apache 2.0 |
| MOSS-TTS-Local-Transformer-v1.5 OpenMOSS-Team | Text to speech | — | — | 4.6B | 85K | Apache 2.0 |
| MiniCPM-OCR-1.0 openbmb | Image text to text | ~2.9 GB | €0.04/h RTX 3060 | 1.3B | 84.1K | Apache 2.0 |
| Krea-2-Turbo krea | Text to image | — | — | 12.8B | 84K | Other |
| kobert-base-v1 skt | Feature extraction | ~0.2 GB | €0.04/h RTX 3060 | 0.1B | 82.1K | — |
| jina-embeddings-v5-text-nano jinaai | Feature extraction | ~0.5 GB | €0.04/h RTX 3060 | 0.2B | 81.9K | CC BY-NC 4.0 |
| jina-embeddings-v5-text-small jinaai | Feature extraction | ~1.3 GB | €0.04/h RTX 3060 | 0.6B | 81.3K | CC BY-NC 4.0 |
| Huihui-Qwen3.8-27B-abliterated huihui-ai | Image text to text | ~62 GB | €2.09/h RTX PRO 6000 | 27.8B | 81.2K | Apache 2.0 |
| MOSS-TTS-v1.5 OpenMOSS-Team | Text to speech | — | — | 8.5B | 80.3K | Apache 2.0 |
| csm-1b sesame | Text to speech | — | — | 1.6B | 77.4K | Apache 2.0 |
| svara-tts-v1 kenpath | Text to speech | — | — | 3.3B | 77K | Apache 2.0 |
| Chroma1-HD lodestones | Text to image | — | — | 8.9B | 74.3K | Apache 2.0 |