Kimi K3 vs DeepSeek V4 Pro 1.6T
Side-by-side VRAM requirements, benchmark scores, and GPU compatibility for local AI inference.
Quick verdict
DeepSeek V4 Pro 1.6T is more hardware-efficient — it needs 1092.5 GB at Q4_K_M vs 1910.3 GB for Kimi K3, fitting on 0 GPUs natively.
VRAM at each quantization (8k context)
FP32
Kimi K3
12544.5 GB
DeepSeek V4 Pro 1.6T
7169.1 GB
BF16
Kimi K3
6272.5 GB
DeepSeek V4 Pro 1.6T
3585.1 GB
FP16
Kimi K3
6272.5 GB
DeepSeek V4 Pro 1.6T
3585.1 GB
Q8_0
Kimi K3
3334.0 GB
DeepSeek V4 Pro 1.6T
1906.0 GB
Q6_K
Kimi K3
2575.1 GB
DeepSeek V4 Pro 1.6T
1472.4 GB
Q5_K_M
Kimi K3
2233.3 GB
DeepSeek V4 Pro 1.6T
1277.1 GB
Q4_K_M
Kimi K3
1910.3 GB
DeepSeek V4 Pro 1.6T
1092.5 GB
Q3_K_M
Kimi K3
1508.9 GB
DeepSeek V4 Pro 1.6T
863.1 GB
Q2_K
Kimi K3
1195.3 GB
DeepSeek V4 Pro 1.6T
683.9 GB
NVFP4
Kimi K3
1568.5 GB
DeepSeek V4 Pro 1.6T
897.1 GB
| Quant | Kimi K3 | DeepSeek V4 Pro 1.6T | Diff |
|---|---|---|---|
| FP32 | 12544.5 GB | 7169.1 GB | +75% |
| BF16 | 6272.5 GB | 3585.1 GB | +75% |
| FP16 | 6272.5 GB | 3585.1 GB | +75% |
| Q8_0 | 3334.0 GB | 1906.0 GB | +75% |
| Q6_K | 2575.1 GB | 1472.4 GB | +75% |
| Q5_K_M | 2233.3 GB | 1277.1 GB | +75% |
| Q4_K_M | 1910.3 GB | 1092.5 GB | +75% |
| Q3_K_M | 1508.9 GB | 863.1 GB | +75% |
| Q2_K | 1195.3 GB | 683.9 GB | +75% |
| NVFP4 | 1568.5 GB | 897.1 GB | +75% |
Diff is Kimi K3 relative to DeepSeek V4 Pro 1.6T. Green = lower VRAM (fits more GPUs).
Model specifications
| Spec | Kimi K3 | DeepSeek V4 Pro 1.6T |
|---|---|---|
| Org | Moonshot AI | DeepSeek |
| Parameters | 2800B | 1600B |
| Architecture | MoE (104B active) | MoE (49B active) |
| Context | 1024k tokens | 1024k tokens |
| Modalities | text, vision, video | text, vision, video |
| License | Kimi K3 | MIT |
| Commercial | Yes | Yes |
| Released | 2026-07-16 | 2026-04-24 |
| GPUs (native) | 0 / 107 | 0 / 107 |
Benchmark scores
| Benchmark | Kimi K3 | DeepSeek V4 Pro 1.6T |
|---|---|---|
| GPQA Diamond | 93.5 | 90.1 |
| SWE-bench Verified | 76.8 | — |
| Terminal-Bench 2.1 | 88.3 | — |
| Arena ELO | 1486.0 | — |
Green = higher score (better). — = not yet available.
GPUs that run only Kimi K3(0)
Every GPU that runs Kimi K3 also runs DeepSeek V4 Pro 1.6T.
GPUs that run only DeepSeek V4 Pro 1.6T(0)
Every GPU that runs DeepSeek V4 Pro 1.6T also runs Kimi K3.
Which should you use?
Choose Kimi K3 if:
- • You want maximum capability and have a 1911 GB+ GPU
- • You're running coding tasks
- • You need chain-of-thought reasoning
Choose DeepSeek V4 Pro 1.6T if:
- • You have limited VRAM — it's a smaller model needing 1092.5 GB vs 1910.3 GB
Frequently asked questions
- Which is better, Kimi K3 or DeepSeek V4 Pro 1.6T?
- Kimi K3 has 2800B parameters vs 1600B for DeepSeek V4 Pro 1.6T, so Kimi K3 is the larger model. DeepSeek V4 Pro 1.6T is more hardware-efficient, needing 1092.5 GB at Q4_K_M vs 1910.3 GB.
- How much VRAM does Kimi K3 need vs DeepSeek V4 Pro 1.6T?
- At Q4_K_M quantization with 8k context, Kimi K3 needs approximately 1910.3 GB of VRAM, while DeepSeek V4 Pro 1.6T needs 1092.5 GB. At FP16, Kimi K3 requires 6272.5 GB vs 3585.1 GB for DeepSeek V4 Pro 1.6T.
- Can you run Kimi K3 on the same GPUs as DeepSeek V4 Pro 1.6T?
- These models have very different VRAM requirements, so they do not share the same compatible GPU set.
- What is the difference between Kimi K3 and DeepSeek V4 Pro 1.6T?
- Kimi K3 has 2800B parameters (104B active, MoE) with a 1024k context window. DeepSeek V4 Pro 1.6T has 1600B parameters (49B active, MoE) with a 1024k context window. Licensing differs: Kimi K3 is Kimi K3 while DeepSeek V4 Pro 1.6T is MIT.
- Which model fits in 24 GB of VRAM, Kimi K3 or DeepSeek V4 Pro 1.6T?
- Neither fits in 24 GB at Q4_K_M — Kimi K3 needs 1910.3 GB and DeepSeek V4 Pro 1.6T needs 1092.5 GB. Both require at least a 48 GB GPU.