DeepSeek V4 Pro 1.6T vs DeepSeek R1 671B
Side-by-side VRAM requirements, benchmark scores, and GPU compatibility for local AI inference.
Quick verdict
DeepSeek R1 671B is more hardware-efficient — it needs 423.7 GB at Q4_K_M vs 1010.0 GB for DeepSeek V4 Pro 1.6T, fitting on 4 GPUs natively.
VRAM at each quantization (8k context)
| Quant | DeepSeek V4 Pro 1.6T | DeepSeek R1 671B | Diff |
|---|---|---|---|
| FP32 | 7169.1 GB | 3006.7 GB | +138% |
| BF16 | 3585.1 GB | 1503.6 GB | +138% |
| FP16 | 3585.1 GB | 1503.6 GB | +138% |
| Q8_0 | 1793.1 GB | 752.1 GB | +138% |
| Q6_K | 1470.6 GB | 616.8 GB | +138% |
| Q5_K_M | 1155.2 GB | 484.6 GB | +138% |
| Q4_K_M | 1010.0 GB | 423.7 GB | +138% |
| Q3_K_M | 771.7 GB | 323.7 GB | +138% |
| Q2_K | 590.7 GB | 247.8 GB | +138% |
| NVFP4 | 897.1 GB | 376.3 GB | +138% |
Diff is DeepSeek V4 Pro 1.6T relative to DeepSeek R1 671B. Green = lower VRAM (fits more GPUs).
Model specifications
| Spec | DeepSeek V4 Pro 1.6T | DeepSeek R1 671B |
|---|---|---|
| Org | DeepSeek | DeepSeek |
| Parameters | 1600B | 671B |
| Architecture | MoE (49B active) | MoE (37B active) |
| Context | 1024k tokens | 125k tokens |
| Modalities | text, vision, video | text |
| License | MIT | MIT |
| Commercial | Yes | Yes |
| Released | 2026-04-24 | 2025-01-20 |
| GPUs (native) | 0 / 107 | 4 / 107 |
Benchmark scores
| Benchmark | DeepSeek V4 Pro 1.6T | DeepSeek R1 671B |
|---|---|---|
| MMLU-Pro | 87.5 | 85.0 |
| GPQA Diamond | 90.1 | 71.5 |
Green = higher score (better). — = not yet available.
GPUs that run only DeepSeek V4 Pro 1.6T(0)
Every GPU that runs DeepSeek V4 Pro 1.6T also runs DeepSeek R1 671B.
GPUs that run only DeepSeek R1 671B(4)
- Apple M4 Ultra (384GB)384 GB
- Apple M3 Ultra (512GB)512 GB
- Apple M3 Ultra (256GB)256 GB
- Apple M2 Ultra (384GB)384 GB
Which should you use?
Choose DeepSeek V4 Pro 1.6T if:
- • You want maximum capability and have a 1011 GB+ GPU
- • Long context matters — it supports 1024k tokens vs 125k
- • Benchmark quality matters — scores 87.5 vs 85.0 on MMLU-Pro
- • You need vision/image understanding
Choose DeepSeek R1 671B if:
- • You have limited VRAM — it's a smaller model needing 423.7 GB vs 1010.0 GB
- • You need chain-of-thought reasoning
Frequently asked questions
- Which is better, DeepSeek V4 Pro 1.6T or DeepSeek R1 671B?
- DeepSeek V4 Pro 1.6T has 1600B parameters vs 671B for DeepSeek R1 671B, so DeepSeek V4 Pro 1.6T is the larger model. DeepSeek R1 671B is more hardware-efficient, needing 423.7 GB at Q4_K_M vs 1010.0 GB. DeepSeek R1 671B runs on more GPUs natively (4 vs 0). On MMLU-Pro, DeepSeek V4 Pro 1.6T scores higher (87.5 vs 85.0).
- How much VRAM does DeepSeek V4 Pro 1.6T need vs DeepSeek R1 671B?
- At Q4_K_M quantization with 8k context, DeepSeek V4 Pro 1.6T needs approximately 1010.0 GB of VRAM, while DeepSeek R1 671B needs 423.7 GB. At FP16, DeepSeek V4 Pro 1.6T requires 3585.1 GB vs 1503.6 GB for DeepSeek R1 671B.
- Can you run DeepSeek V4 Pro 1.6T on the same GPUs as DeepSeek R1 671B?
- These models have very different VRAM requirements, so they do not share the same compatible GPU set.
- What is the difference between DeepSeek V4 Pro 1.6T and DeepSeek R1 671B?
- DeepSeek V4 Pro 1.6T has 1600B parameters (49B active, MoE) with a 1024k context window. DeepSeek R1 671B has 671B parameters (37B active, MoE) with a 125k context window.
- Which model fits in 24 GB of VRAM, DeepSeek V4 Pro 1.6T or DeepSeek R1 671B?
- Neither fits in 24 GB at Q4_K_M — DeepSeek V4 Pro 1.6T needs 1010.0 GB and DeepSeek R1 671B needs 423.7 GB. Both require at least a 48 GB GPU.