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 458.3 GB at its Q4_K_M build vs 1091.4 GB for DeepSeek V4 Pro 1.6T's Q4_K_M, fitting on 2 GPUs natively.
VRAM at each quantization (8k context)
FP32
DeepSeek V4 Pro 1.6T
7168.1 GB
DeepSeek R1 671B
3006.7 GB
BF16
DeepSeek V4 Pro 1.6T
3584.1 GB
DeepSeek R1 671B
1503.6 GB
FP16
DeepSeek V4 Pro 1.6T
3584.1 GB
DeepSeek R1 671B
1503.6 GB
Q8_0
DeepSeek V4 Pro 1.6T
1905.0 GB
DeepSeek R1 671B
799.4 GB
Q6_K
DeepSeek V4 Pro 1.6T
1471.3 GB
DeepSeek R1 671B
617.6 GB
Q5_K_M
DeepSeek V4 Pro 1.6T
1276.0 GB
DeepSeek R1 671B
535.7 GB
Q4_K_M
DeepSeek V4 Pro 1.6T
1091.4 GB
DeepSeek R1 671B
458.3 GB
Q3_K_M
DeepSeek V4 Pro 1.6T
862.1 GB
DeepSeek R1 671B
362.1 GB
Q2_K
DeepSeek V4 Pro 1.6T
682.9 GB
DeepSeek R1 671B
286.9 GB
NVFP4
DeepSeek V4 Pro 1.6T
896.1 GB
DeepSeek R1 671B
376.3 GB
| Quant | DeepSeek V4 Pro 1.6T | DeepSeek R1 671B | Diff |
|---|---|---|---|
| FP32 | 7168.1 GB | 3006.7 GB | +138% |
| BF16 | 3584.1 GB | 1503.6 GB | +138% |
| FP16 | 3584.1 GB | 1503.6 GB | +138% |
| Q8_0 | 1905.0 GB | 799.4 GB | +138% |
| Q6_K | 1471.3 GB | 617.6 GB | +138% |
| Q5_K_M | 1276.0 GB | 535.7 GB | +138% |
| Q4_K_M | 1091.4 GB | 458.3 GB | +138% |
| Q3_K_M | 862.1 GB | 362.1 GB | +138% |
| Q2_K | 682.9 GB | 286.9 GB | +138% |
| NVFP4 | 896.1 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 / 119 | 2 / 119 |
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). N/A = not yet available. ~ = inherited from a base model, not independently reported for that release itself.
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(2)
- Apple M5 Ultra (512GB)512 GB
- Apple M3 Ultra (512GB)512 GB
Which should you use?
Choose DeepSeek V4 Pro 1.6T if:
- • You want maximum capability and have a 1092 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
- • It's the newer release (2026-04-24 vs 2025-01-20); check the benchmark table above for what actually improved
Choose DeepSeek R1 671B if:
- • You have limited VRAM: it's a smaller model needing 458.3 GB vs 1091.4 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 458.3 GB at its Q4_K_M build vs 1091.4 GB for DeepSeek V4 Pro 1.6T's Q4_K_M. DeepSeek R1 671B runs on more GPUs natively (2 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 8k context, DeepSeek V4 Pro 1.6T needs approximately 1091.4 GB of VRAM at its Q4_K_M build, while DeepSeek R1 671B needs 458.3 GB at its Q4_K_M build. At the largest build each ships, DeepSeek V4 Pro 1.6T requires 3584.1 GB (FP16) vs 1503.6 GB (FP16) 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: DeepSeek V4 Pro 1.6T needs 1091.4 GB at Q4_K_M and DeepSeek R1 671B needs 458.3 GB at Q4_K_M. Both require a multi-GPU server with 1092 GB+ of combined VRAM.