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DeepSeek V3 vs Llama 4 Scout

DeepSeek
DeepSeek V3

DeepSeek · 671B params · Quality: 86

Meta
Llama 4 Scout

Meta · 109B params · Quality: 76

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

ProviderDeepSeek V3 In $/MOut $/MLlama 4 Scout In $/MOut $/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).

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