DeepSeek V3 vs Llama 4 Maverick
Architecture Comparison
SpecDeepSeek V3Llama 4 Maverick
TypeMOEMOE
Total Parameters671B400B
Active Parameters37B17B
Layers6196
Hidden Dimension7,1685,120
Attention Heads12840
KV Heads18
Context Length131,0721,048,576
Precision (default)BF16BF16
Total Experts256128
Active Experts81
Memory Requirements
PrecisionDeepSeek V3Llama 4 Maverick
BF16 Weights1342.0 GB800.0 GB
FP8 Weights671.0 GB400.0 GB
INT4 Weights335.5 GB200.0 GB
KV-Cache / Token31232 B393216 B
Activation Estimate3.00 GB3.00 GB
Minimum GPUs Needed (BF16)
H100 SXMN/AN/A
L40SN/AN/A
Quality Benchmarks
BenchmarkDeepSeek V3Llama 4 Maverick
Overall8689
MMLU87.189.0
HumanEval65.063.0
GSM8K89.395.0
MT-Bench87.088.0
DeepSeek V3
MMLU
87.1
HumanEval
65.0
GSM8K
89.3
MT-Bench
87.0
Llama 4 Maverick
MMLU
89.0
HumanEval
63.0
GSM8K
95.0
MT-Bench
88.0
Capabilities
FeatureDeepSeek V3Llama 4 Maverick
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 Maverick)
$1.80/M
Input: $1.20/M
| Provider | DeepSeek V3 In $/M | Out $/M | Llama 4 Maverick In $/M | Out $/M |
|---|---|---|---|---|
| deepseek | $0.28 | $0.42 | — | — |
| together | $0.50 | $2.80 | $1.20 | $1.80 |
| fireworks | — | — | $1.50 | $2.00 |
Recommendation Summary
- ‣Llama 4 Maverick scores higher on overall quality (89 vs 86).
- ‣DeepSeek V3 is cheaper per output token ($0.42/M vs $1.80/M).
- ‣Llama 4 Maverick has a smaller memory footprint (800.0 GB vs 1342.0 GB BF16), making it easier to deploy on fewer GPUs.
- ‣Llama 4 Maverick supports a longer context window (1,048,576 vs 131,072 tokens).
- ‣DeepSeek V3 is stronger at code generation (HumanEval: 65.0 vs 63.0).
- ‣Llama 4 Maverick is better at math reasoning (GSM8K: 95.0 vs 89.3).