DeepSeek R1 vs Llama 4 Maverick
Architecture Comparison
SpecDeepSeek R1Llama 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 R1Llama 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 R1Llama 4 Maverick
Overall9289
MMLU90.889.0
HumanEval71.763.0
GSM8K97.395.0
MT-Bench89.088.0
DeepSeek R1
MMLU
90.8
HumanEval
71.7
GSM8K
97.3
MT-Bench
89.0
Llama 4 Maverick
MMLU
89.0
HumanEval
63.0
GSM8K
95.0
MT-Bench
88.0
Capabilities
FeatureDeepSeek R1Llama 4 Maverick
Tool Use✓ Yes✓ Yes
Vision✗ No✓ Yes
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✓ Yes✗ No
Multilingual✓ Yes✓ Yes
Structured Output✓ Yes✓ Yes
API Pricing Comparison
Cheapest Output (DeepSeek R1)
$2.19/M
Input: $0.55/M
Cheapest Output (Llama 4 Maverick)
$1.80/M
Input: $1.20/M
| Provider | DeepSeek R1 In $/M | Out $/M | Llama 4 Maverick In $/M | Out $/M |
|---|---|---|---|---|
| together | $3.00 | $7.00 | $1.20 | $1.80 |
| fireworks | — | — | $1.50 | $2.00 |
| deepseek | $0.55 | $2.19 | — | — |
Recommendation Summary
- ‣DeepSeek R1 scores higher on overall quality (92 vs 89).
- ‣Llama 4 Maverick is cheaper per output token ($1.80/M vs $2.19/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 R1 is stronger at code generation (HumanEval: 71.7 vs 63.0).
- ‣DeepSeek R1 is better at math reasoning (GSM8K: 97.3 vs 95.0).