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Phi-4 vs Qwen 2.5 Coder 14B

Microsoft
Phi-4

Microsoft · 14.7B params · Quality: 83

Alibaba
Qwen 2.5 Coder 14B

Alibaba · 14.7B params · Quality: 50

Architecture Comparison

SpecPhi-4Qwen 2.5 Coder 14B
TypeDENSEDENSE
Total Parameters14.7B14.7B
Active Parameters14.7B14.7B
Layers4048
Hidden Dimension5,1205,120
Attention Heads4040
KV Heads108
Context Length16,384131,072
Precision (default)BF16BF16

Memory Requirements

PrecisionPhi-4Qwen 2.5 Coder 14B
BF16 Weights29.4 GB29.4 GB
FP8 Weights14.7 GB14.7 GB
INT4 Weights7.3 GB7.3 GB
KV-Cache / Token204800 B196608 B
Activation Estimate1.50 GB1.20 GB

Minimum GPUs Needed (BF16)

H100 SXM1 GPU1 GPU
L40S1 GPU1 GPU

Quality Benchmarks

BenchmarkPhi-4Qwen 2.5 Coder 14B
Overall8350
MMLU84.8N/A
HumanEval67.0N/A
GSM8K93.0N/A
MT-Bench85.0N/A

Phi-4

MMLU
84.8
HumanEval
67.0
GSM8K
93.0
MT-Bench
85.0

Qwen 2.5 Coder 14B

Capabilities

FeaturePhi-4Qwen 2.5 Coder 14B
Tool Use✓ Yes✗ No
Vision✗ No✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✓ Yes✗ No
Multilingual✓ Yes✗ No
Structured Output✓ Yes✓ Yes

API Pricing Comparison

Cheapest Output (Phi-4)

$0.14/M

Input: $0.07/M

Cheapest Output (Qwen 2.5 Coder 14B)

$0.30/M

Input: $0.30/M

ProviderPhi-4 In $/MOut $/MQwen 2.5 Coder 14B In $/MOut $/M
azure$0.07$0.14
together$0.20$0.20$0.30$0.30

Recommendation Summary

  • Phi-4 scores higher on overall quality (83 vs 50).
  • Phi-4 is cheaper per output token ($0.14/M vs $0.30/M).
  • Qwen 2.5 Coder 14B supports a longer context window (131,072 vs 16,384 tokens).

Compare Other Models