All models › kandinsky
kandinsky-5.0-t2v-pro
kandinsky · MIT license · on Arena since 12 Dec 2025
Download
Arena score1175#37 of 48 in Video, paid models included
Size19.3 Bparameters
4-bit download12 GBweights only, Q4_K_M
Max context—
Where to use it for free
- Download and run it at home: official weights · GGUF files for Ollama and LM Studio
Arena scores
| Arena | Score | Rank | Votes |
|---|---|---|---|
| Video | 1175 | #37 of 48 | 2K |
Rank among all models, paid ones included. Source: Arena leaderboard dataset.
Does it fit on popular hardware?
| Hardware | GPU memory | Fits? |
|---|---|---|
| RTX 3060 12 GB | 12 GB | GPU + 64 GB RAM |
| RTX 4060 Ti 16 GB | 16 GB | Fits in GPU |
| RTX 3090 | 24 GB | Fits in GPU |
| RTX 4090 | 24 GB | Fits in GPU |
| RTX 5090 | 32 GB | Fits in GPU |
| RX 7900 XTX | 24 GB | Fits in GPU |
| 2 × RTX 3090 | 48 GB | Fits in GPU |
| 4 × RTX 3090 | 96 GB | Fits in GPU |
| Mac M4 Max 128 GB | 96 GB | Fits in GPU |
| Ryzen AI Max+ 395 128 GB | 96 GB | Fits in GPU |
| 8 × H100 SXM | 640 GB | Fits in GPU |
Estimate at 4-bit, 64 GB of DDR5 for offload. Speed ≈ memory bandwidth × 70% ÷ data read per token; real numbers vary by about ±30%.
GPU memory needed
| Level | Total |
|---|---|
| Q3_K_M | 13 GB |
| Q4_K_M | 15 GB |
| Q5_K_M | 17 GB |
| Q6_K | 19 GB |
| Q8_0 | 24 GB |
| F16 | 42 GB |
Weights + text encoders and decoder (about 3 GB) + runtime. Simulate your own setup.
Video score over time
1200130014001500
MayJunJulAugSept
kandinsky-5.0-t2v-pro 1175Best paid model
Arena score from 7 Apr 2026 to 22 Sept 2026.
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