Mistral 7B vs Gemma 2 9B
Architecture Comparison
SpecMistral 7BGemma 2 9B
TypeDENSEDENSE
Total Parameters7.3B9.2B
Active Parameters7.3B9.2B
Layers3242
Hidden Dimension4,0963,584
Attention Heads3216
KV Heads88
Context Length32,7688,192
Precision (default)BF16BF16
Memory Requirements
PrecisionMistral 7BGemma 2 9B
BF16 Weights14.6 GB18.4 GB
FP8 Weights7.3 GB9.2 GB
INT4 Weights3.6 GB4.6 GB
KV-Cache / Token131072 B344064 B
Activation Estimate1.00 GB1.00 GB
Minimum GPUs Needed (BF16)
H100 SXM1 GPU1 GPU
L40S1 GPU1 GPU
Quality Benchmarks
BenchmarkMistral 7BGemma 2 9B
Overall5668
MMLU62.571.3
HumanEval32.040.0
GSM8K52.276.0
MT-Bench71.078.0
Mistral 7B
MMLU
62.5
HumanEval
32.0
GSM8K
52.2
MT-Bench
71.0
Gemma 2 9B
MMLU
71.3
HumanEval
40.0
GSM8K
76.0
MT-Bench
78.0
Capabilities
FeatureMistral 7BGemma 2 9B
Tool Use✗ No✗ No
Vision✗ No✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✗ No✗ No
Multilingual✓ Yes✓ Yes
Structured Output✗ No✓ Yes
API Pricing Comparison
Cheapest Output (Mistral 7B)
$0.07/M
Input: $0.07/M
Cheapest Output (Gemma 2 9B)
$0.10/M
Input: $0.10/M
| Provider | Mistral 7B In $/M | Out $/M | Gemma 2 9B In $/M | Out $/M |
|---|---|---|---|---|
| deepinfra | $0.07 | $0.07 | $0.10 | $0.10 |
| together | $0.20 | $0.20 | $0.20 | $0.20 |
Recommendation Summary
- ‣Gemma 2 9B scores higher on overall quality (68 vs 56).
- ‣Mistral 7B is cheaper per output token ($0.07/M vs $0.10/M).
- ‣Mistral 7B has a smaller memory footprint (14.6 GB vs 18.4 GB BF16), making it easier to deploy on fewer GPUs.
- ‣Mistral 7B supports a longer context window (32,768 vs 8,192 tokens).
- ‣Gemma 2 9B is stronger at code generation (HumanEval: 40.0 vs 32.0).
- ‣Gemma 2 9B is better at math reasoning (GSM8K: 76.0 vs 52.2).