DeepSeek V3 vs Llama 4 Scout
Architecture Comparison
SpecDeepSeek V3Llama 4 Scout
TypeMOEMOE
Total Parameters671B109B
Active Parameters37B17B
Layers6148
Hidden Dimension7,1685,120
Attention Heads12840
KV Heads18
Context Length131,07210,485,760
Precision (default)BF16BF16
Total Experts25616
Active Experts81
Memory Requirements
PrecisionDeepSeek V3Llama 4 Scout
BF16 Weights1342.0 GB218.0 GB
FP8 Weights671.0 GB109.0 GB
INT4 Weights335.5 GB54.5 GB
KV-Cache / Token31232 B196608 B
Activation Estimate3.00 GB2.00 GB
Minimum GPUs Needed (BF16)
H100 SXMN/A4 GPUs
L40SN/A6 GPUs
Quality Benchmarks
BenchmarkDeepSeek V3Llama 4 Scout
Overall8676
MMLU87.179.0
HumanEval65.055.0
GSM8K89.385.0
MT-Bench87.081.0
DeepSeek V3
MMLU
87.1
HumanEval
65.0
GSM8K
89.3
MT-Bench
87.0
Llama 4 Scout
MMLU
79.0
HumanEval
55.0
GSM8K
85.0
MT-Bench
81.0
Capabilities
FeatureDeepSeek V3Llama 4 Scout
Tool Use✓ Yes✓ Yes
Vision✗ No✓ Yes
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✗ No✗ No
Multilingual✓ Yes✓ Yes
Structured Output✓ Yes✓ Yes
API Pricing Comparison
Cheapest Output (DeepSeek V3)
$0.42/M
Input: $0.28/M
Cheapest Output (Llama 4 Scout)
$0.30/M
Input: $0.18/M
| Provider | DeepSeek V3 In $/M | Out $/M | Llama 4 Scout In $/M | Out $/M |
|---|---|---|---|---|
| together | $0.50 | $2.80 | $0.18 | $0.30 |
| fireworks | — | — | $0.20 | $0.35 |
| deepseek | $0.28 | $0.42 | — | — |
Recommendation Summary
- ‣DeepSeek V3 scores higher on overall quality (86 vs 76).
- ‣Llama 4 Scout is cheaper per output token ($0.30/M vs $0.42/M).
- ‣Llama 4 Scout has a smaller memory footprint (218.0 GB vs 1342.0 GB BF16), making it easier to deploy on fewer GPUs.
- ‣Llama 4 Scout supports a longer context window (10,485,760 vs 131,072 tokens).
- ‣DeepSeek V3 is stronger at code generation (HumanEval: 65.0 vs 55.0).
- ‣DeepSeek V3 is better at math reasoning (GSM8K: 89.3 vs 85.0).