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Qwen 2.5 72B vs Phi-4

Alibaba
Qwen 2.5 72B

Alibaba · 72.7B params · Quality: 84

Microsoft
Phi-4

Microsoft · 14.7B params · Quality: 83

Architecture Comparison

SpecQwen 2.5 72BPhi-4
TypeDENSEDENSE
Total Parameters72.7B14.7B
Active Parameters72.7B14.7B
Layers8040
Hidden Dimension8,1925,120
Attention Heads6440
KV Heads810
Context Length131,07216,384
Precision (default)BF16BF16

Memory Requirements

PrecisionQwen 2.5 72BPhi-4
BF16 Weights145.4 GB29.4 GB
FP8 Weights72.7 GB14.7 GB
INT4 Weights36.4 GB7.3 GB
KV-Cache / Token327680 B204800 B
Activation Estimate2.50 GB1.50 GB

Minimum GPUs Needed (BF16)

H100 SXM3 GPUs1 GPU
L40S4 GPUs1 GPU

Quality Benchmarks

BenchmarkQwen 2.5 72BPhi-4
Overall8483
MMLU85.384.8
HumanEval56.067.0
GSM8K91.693.0
MT-Bench86.085.0

Qwen 2.5 72B

MMLU
85.3
HumanEval
56.0
GSM8K
91.6
MT-Bench
86.0

Phi-4

MMLU
84.8
HumanEval
67.0
GSM8K
93.0
MT-Bench
85.0

Capabilities

FeatureQwen 2.5 72BPhi-4
Tool Use✓ Yes✓ Yes
Vision✗ No✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✗ No✓ Yes
Multilingual✓ Yes✓ Yes
Structured Output✓ Yes✓ Yes

API Pricing Comparison

Cheapest Output (Qwen 2.5 72B)

$0.90/M

Input: $0.90/M

Cheapest Output (Phi-4)

$0.14/M

Input: $0.07/M

ProviderQwen 2.5 72B In $/MOut $/MPhi-4 In $/MOut $/M
azure$0.07$0.14
together$0.90$0.90$0.20$0.20
fireworks$0.90$0.90

Recommendation Summary

  • Qwen 2.5 72B scores higher on overall quality (84 vs 83).
  • Phi-4 is cheaper per output token ($0.14/M vs $0.90/M).
  • Phi-4 has a smaller memory footprint (29.4 GB vs 145.4 GB BF16), making it easier to deploy on fewer GPUs.
  • Qwen 2.5 72B supports a longer context window (131,072 vs 16,384 tokens).
  • Phi-4 is stronger at code generation (HumanEval: 67.0 vs 56.0).
  • Phi-4 is better at math reasoning (GSM8K: 93.0 vs 91.6).

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