Llama 4 Maverick 400B vs DeepSeek V3 671B
Side-by-side VRAM requirements, benchmark scores, and GPU compatibility for local AI inference.
Quick verdict
Llama 4 Maverick 400B is more hardware-efficient — it needs 256.7 GB at Q4_K_M vs 423.7 GB for DeepSeek V3 671B, fitting on 7 GPUs natively.
VRAM at each quantization (8k context)
| Quant | Llama 4 Maverick 400B | DeepSeek V3 671B | Diff |
|---|---|---|---|
| FP32 | 1796.5 GB | 3006.7 GB | -40% |
| BF16 | 900.5 GB | 1503.6 GB | -40% |
| FP16 | 900.5 GB | 1503.6 GB | -40% |
| Q8_0 | 452.5 GB | 752.1 GB | -40% |
| Q6_K | 371.9 GB | 616.8 GB | -40% |
| Q5_K_M | 293.0 GB | 484.6 GB | -40% |
| Q4_K_M | 256.7 GB | 423.7 GB | -39% |
| Q3_K_M | 197.1 GB | 323.7 GB | -39% |
| Q2_K | 151.9 GB | 247.8 GB | -39% |
| NVFP4 | 228.5 GB | 376.3 GB | -39% |
Diff is Llama 4 Maverick 400B relative to DeepSeek V3 671B. Green = lower VRAM (fits more GPUs).
Model specifications
| Spec | Llama 4 Maverick 400B | DeepSeek V3 671B |
|---|---|---|
| Org | Meta | DeepSeek |
| Parameters | 400B | 671B |
| Architecture | MoE (17B active) | MoE (37B active) |
| Context | 977k tokens | 125k tokens |
| Modalities | text, vision | text |
| License | Llama 4 Community | MIT |
| Commercial | Yes | Yes |
| Released | 2025-04-05 | 2024-12-27 |
| GPUs (native) | 7 / 107 | 4 / 107 |
Benchmark scores
| Benchmark | Llama 4 Maverick 400B | DeepSeek V3 671B |
|---|---|---|
| MMLU-Pro | 80.5 | 75.9 |
| GPQA Diamond | 69.8 | 59.1 |
| LiveCodeBench | 43.4 | 40.5 |
Green = higher score (better). — = not yet available.
GPUs that run only Llama 4 Maverick 400B(3)
- AMD Instinct MI300X192 GB
- Apple M4 Ultra (192GB)192 GB
- Apple M2 Ultra (192GB)192 GB
GPUs that run only DeepSeek V3 671B(0)
Every GPU that runs DeepSeek V3 671B also runs Llama 4 Maverick 400B.
GPUs that run both natively(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 Llama 4 Maverick 400B if:
- • You have limited VRAM — it's a smaller model needing 256.7 GB vs 423.7 GB
- • Long context matters — it supports 977k tokens vs 125k
- • Benchmark quality matters — scores 80.5 vs 75.9 on MMLU-Pro
- • You need vision/image understanding
Choose DeepSeek V3 671B if:
- • You want maximum capability and have a 424 GB+ GPU
Frequently asked questions
- Which is better, Llama 4 Maverick 400B or DeepSeek V3 671B?
- Llama 4 Maverick 400B has 400B parameters vs 671B for DeepSeek V3 671B, so DeepSeek V3 671B is the larger model. Llama 4 Maverick 400B is more hardware-efficient, needing 256.7 GB at Q4_K_M vs 423.7 GB. Llama 4 Maverick 400B runs on more GPUs natively (7 vs 4). On MMLU-Pro, Llama 4 Maverick 400B scores higher (80.5 vs 75.9).
- How much VRAM does Llama 4 Maverick 400B need vs DeepSeek V3 671B?
- At Q4_K_M quantization with 8k context, Llama 4 Maverick 400B needs approximately 256.7 GB of VRAM, while DeepSeek V3 671B needs 423.7 GB. At FP16, Llama 4 Maverick 400B requires 900.5 GB vs 1503.6 GB for DeepSeek V3 671B.
- Can you run Llama 4 Maverick 400B on the same GPUs as DeepSeek V3 671B?
- Yes, 4 GPUs can run both natively in VRAM, including Apple M4 Ultra (384GB), Apple M3 Ultra (512GB), Apple M3 Ultra (256GB). However, 3 GPUs can run Llama 4 Maverick 400B but not DeepSeek V3 671B, and no GPU can run DeepSeek V3 671B without also fitting Llama 4 Maverick 400B.
- What is the difference between Llama 4 Maverick 400B and DeepSeek V3 671B?
- Llama 4 Maverick 400B has 400B parameters (17B active, MoE) with a 977k context window. DeepSeek V3 671B has 671B parameters (37B active, MoE) with a 125k context window. Licensing differs: Llama 4 Maverick 400B is Llama 4 Community while DeepSeek V3 671B is MIT.
- Which model fits in 24 GB of VRAM, Llama 4 Maverick 400B or DeepSeek V3 671B?
- Neither fits in 24 GB at Q4_K_M — Llama 4 Maverick 400B needs 256.7 GB and DeepSeek V3 671B needs 423.7 GB. Both require at least a 48 GB GPU.