Mistral 7B vs Phi-4
Architecture Comparison
SpecMistral 7BPhi-4
TypeDENSEDENSE
Total Parameters7.3B14.7B
Active Parameters7.3B14.7B
Layers3240
Hidden Dimension4,0965,120
Attention Heads3240
KV Heads810
Context Length32,76816,384
Precision (default)BF16BF16
Memory Requirements
PrecisionMistral 7BPhi-4
BF16 Weights14.6 GB29.4 GB
FP8 Weights7.3 GB14.7 GB
INT4 Weights3.6 GB7.3 GB
KV-Cache / Token131072 B204800 B
Activation Estimate1.00 GB1.50 GB
Minimum GPUs Needed (BF16)
H100 SXM1 GPU1 GPU
L40S1 GPU1 GPU
Quality Benchmarks
BenchmarkMistral 7BPhi-4
Overall5683
MMLU62.584.8
HumanEval32.067.0
GSM8K52.293.0
MT-Bench71.085.0
Mistral 7B
MMLU
62.5
HumanEval
32.0
GSM8K
52.2
MT-Bench
71.0
Phi-4
MMLU
84.8
HumanEval
67.0
GSM8K
93.0
MT-Bench
85.0
Capabilities
FeatureMistral 7BPhi-4
Tool Use✗ No✓ Yes
Vision✗ No✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✗ No✓ Yes
Multilingual✓ Yes✓ Yes
Structured Output✗ No✓ Yes
API Pricing Comparison
Cheapest Output (Mistral 7B)
$0.07/M
Input: $0.07/M
Cheapest Output (Phi-4)
$0.14/M
Input: $0.07/M
| Provider | Mistral 7B In $/M | Out $/M | Phi-4 In $/M | Out $/M |
|---|---|---|---|---|
| deepinfra | $0.07 | $0.07 | — | — |
| azure | — | — | $0.07 | $0.14 |
| together | $0.20 | $0.20 | $0.20 | $0.20 |
Recommendation Summary
- ‣Phi-4 scores higher on overall quality (83 vs 56).
- ‣Mistral 7B is cheaper per output token ($0.07/M vs $0.14/M).
- ‣Mistral 7B has a smaller memory footprint (14.6 GB vs 29.4 GB BF16), making it easier to deploy on fewer GPUs.
- ‣Mistral 7B supports a longer context window (32,768 vs 16,384 tokens).
- ‣Phi-4 is stronger at code generation (HumanEval: 67.0 vs 32.0).
- ‣Phi-4 is better at math reasoning (GSM8K: 93.0 vs 52.2).