All models › Kimi-K3 vs deepseek-v4
Kimi-K3 vs deepseek-v4 — hardware requirements compared (measured)
Both sides use real GGUF file sizes from Hugging Face — not params×bits formulas. Updated daily.
| Kimi-K3 | deepseek-v4 | |
|---|---|---|
| Parameters | ? | 403B |
| Downloads (30d) | 483k | 1956k |
| Quantizations published | 9 | 6 |
| Smallest build needs | 561.1 GB (UD-Q1_0) | 118.6 GB (Q2KDown-AProjQ8-SExpQ8-OutQ8-chat-v2-imatrix-fixed-0731) |
| Recommended quant needs | 561.1 GB (UD-Q1_0) | 118.6 GB (Q2KDown-AProjQ8-SExpQ8-OutQ8) |
| Lossless build needs | 1.87 TB | 968.5 GB |
Verdict: Kimi-K3 needs more memory at the recommended quant. Capability is a different question (see benchmark leaderboards) — this page answers only “which one fits my machine, and at what quality cost?”
Will it run on your GPU?
At the recommended quant, 8K context:
| Hardware | VRAM/RAM | Kimi-K3 | deepseek-v4 |
|---|---|---|---|
| RTX 3060 12GB | 12 GB | no | no |
| RTX 4070 12GB | 12 GB | no | no |
| RTX 4090 24GB | 24 GB | no | no |
| RTX 5090 32GB | 32 GB | no | no |
| Mac 24GB | 18 GB | no | no |
| Mac 64GB | 48 GB | no | no |