Phi-4 vs DeepSeek V3
Architecture Comparison
SpecPhi-4DeepSeek V3
TypeDENSEMOE
Total Parameters14.7B671B
Active Parameters14.7B37B
Layers4061
Hidden Dimension5,1207,168
Attention Heads40128
KV Heads101
Context Length16,384131,072
Precision (default)BF16BF16
Total ExpertsN/A256
Active ExpertsN/A8
Memory Requirements
PrecisionPhi-4DeepSeek V3
BF16 Weights29.4 GB1342.0 GB
FP8 Weights14.7 GB671.0 GB
INT4 Weights7.3 GB335.5 GB
KV-Cache / Token204800 B31232 B
Activation Estimate1.50 GB3.00 GB
Minimum GPUs Needed (BF16)
H100 SXM1 GPUN/A
L40S1 GPUN/A
Quality Benchmarks
BenchmarkPhi-4DeepSeek V3
Overall8386
MMLU84.887.1
HumanEval67.065.0
GSM8K93.089.3
MT-Bench85.087.0
Phi-4
MMLU
84.8
HumanEval
67.0
GSM8K
93.0
MT-Bench
85.0
DeepSeek V3
MMLU
87.1
HumanEval
65.0
GSM8K
89.3
MT-Bench
87.0
Capabilities
FeaturePhi-4DeepSeek V3
Tool Use✓ Yes✓ Yes
Vision✗ No✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✓ Yes✗ No
Multilingual✓ Yes✓ Yes
Structured Output✓ Yes✓ Yes
API Pricing Comparison
Cheapest Output (Phi-4)
$0.14/M
Input: $0.07/M
Cheapest Output (DeepSeek V3)
$0.42/M
Input: $0.28/M
| Provider | Phi-4 In $/M | Out $/M | DeepSeek V3 In $/M | Out $/M |
|---|---|---|---|---|
| azure | $0.07 | $0.14 | — | — |
| together | $0.20 | $0.20 | $0.50 | $2.80 |
| deepseek | — | — | $0.28 | $0.42 |
Recommendation Summary
- ‣DeepSeek V3 scores higher on overall quality (86 vs 83).
- ‣Phi-4 is cheaper per output token ($0.14/M vs $0.42/M).
- ‣Phi-4 has a smaller memory footprint (29.4 GB vs 1342.0 GB BF16), making it easier to deploy on fewer GPUs.
- ‣DeepSeek V3 supports a longer context window (131,072 vs 16,384 tokens).
- ‣Phi-4 uses DENSE architecture while DeepSeek V3 uses MOE. MoE models activate fewer parameters per token, improving inference efficiency.
- ‣Phi-4 is stronger at code generation (HumanEval: 67.0 vs 65.0).
- ‣Phi-4 is better at math reasoning (GSM8K: 93.0 vs 89.3).