DeepSeek V3-0324 vs DeepSeek R1
Architecture Comparison
SpecDeepSeek V3-0324DeepSeek R1
TypeMOEMOE
Total Parameters685B671B
Active Parameters37B37B
Layers6161
Hidden Dimension7,1687,168
Attention Heads128128
KV Heads11
Context Length131,072131,072
Precision (default)FP8BF16
Total Experts256256
Active Experts88
Memory Requirements
PrecisionDeepSeek V3-0324DeepSeek R1
BF16 Weights1370.0 GB1342.0 GB
FP8 Weights685.0 GB671.0 GB
INT4 Weights342.5 GB335.5 GB
KV-Cache / Token31232 B31232 B
Activation Estimate3.00 GB3.00 GB
Minimum GPUs Needed (BF16)
H100 SXMN/AN/A
L40SN/AN/A
Quality Benchmarks
BenchmarkDeepSeek V3-0324DeepSeek R1
Overall5092
MMLUN/A90.8
HumanEvalN/A71.7
GSM8KN/A97.3
MT-BenchN/A89.0
DeepSeek V3-0324
DeepSeek R1
MMLU
90.8
HumanEval
71.7
GSM8K
97.3
MT-Bench
89.0
Capabilities
FeatureDeepSeek V3-0324DeepSeek R1
Tool Use✓ Yes✓ Yes
Vision✗ No✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✓ Yes✓ Yes
Multilingual✓ Yes✓ Yes
Structured Output✓ Yes✓ Yes
API Pricing Comparison
Cheapest Output (DeepSeek V3-0324)
$0.42/M
Input: $0.28/M
Cheapest Output (DeepSeek R1)
$2.19/M
Input: $0.55/M
| Provider | DeepSeek V3-0324 In $/M | Out $/M | DeepSeek R1 In $/M | Out $/M |
|---|---|---|---|---|
| deepseek | $0.28 | $0.42 | $0.55 | $2.19 |
| together | $0.50 | $2.80 | $3.00 | $7.00 |
Recommendation Summary
- ‣DeepSeek R1 scores higher on overall quality (92 vs 50).
- ‣DeepSeek V3-0324 is cheaper per output token ($0.42/M vs $2.19/M).
- ‣DeepSeek R1 has a smaller memory footprint (1342.0 GB vs 1370.0 GB BF16), making it easier to deploy on fewer GPUs.
Compare Other Models
DeepSeek V3-0324 vs DeepSeek V3→DeepSeek V3-0324 vs Gemma 3 27B→DeepSeek V3-0324 vs Llama 3.1 405B→DeepSeek V3-0324 vs Llama 3.1 70B→DeepSeek V3-0324 vs Llama 3.1 8B→DeepSeek V3-0324 vs Phi-4→DeepSeek R1 vs DeepSeek V3→DeepSeek R1 vs Gemma 3 27B→DeepSeek R1 vs Llama 3.1 405B→DeepSeek R1 vs Llama 3.1 70B→