Gemma 3 27B vs DeepSeek V3
Architecture Comparison
SpecGemma 3 27BDeepSeek V3
TypeDENSEMOE
Total Parameters27B671B
Active Parameters27B37B
Layers6261
Hidden Dimension3,5847,168
Attention Heads32128
KV Heads161
Context Length131,072131,072
Precision (default)BF16BF16
Total ExpertsN/A256
Active ExpertsN/A8
Memory Requirements
PrecisionGemma 3 27BDeepSeek V3
BF16 Weights54.0 GB1342.0 GB
FP8 Weights27.0 GB671.0 GB
INT4 Weights13.5 GB335.5 GB
KV-Cache / Token507904 B31232 B
Activation Estimate1.50 GB3.00 GB
Minimum GPUs Needed (BF16)
H100 SXM1 GPUN/A
L40S2 GPUsN/A
Quality Benchmarks
BenchmarkGemma 3 27BDeepSeek V3
Overall7686
MMLU78.087.1
HumanEval48.065.0
GSM8K85.089.3
MT-Bench82.087.0
Gemma 3 27B
MMLU
78.0
HumanEval
48.0
GSM8K
85.0
MT-Bench
82.0
DeepSeek V3
MMLU
87.1
HumanEval
65.0
GSM8K
89.3
MT-Bench
87.0
Capabilities
FeatureGemma 3 27BDeepSeek V3
Tool Use✓ Yes✓ Yes
Vision✓ Yes✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✗ No✗ No
Multilingual✓ Yes✓ Yes
Structured Output✓ Yes✓ Yes
API Pricing Comparison
Cheapest Output (Gemma 3 27B)
$0.20/M
Input: $0.10/M
Cheapest Output (DeepSeek V3)
$0.42/M
Input: $0.28/M
| Provider | Gemma 3 27B In $/M | Out $/M | DeepSeek V3 In $/M | Out $/M |
|---|---|---|---|---|
| $0.10 | $0.20 | — | — | |
| together | $0.30 | $0.30 | $0.50 | $2.80 |
| deepseek | — | — | $0.28 | $0.42 |
Recommendation Summary
- ‣DeepSeek V3 scores higher on overall quality (86 vs 76).
- ‣Gemma 3 27B is cheaper per output token ($0.20/M vs $0.42/M).
- ‣Gemma 3 27B has a smaller memory footprint (54.0 GB vs 1342.0 GB BF16), making it easier to deploy on fewer GPUs.
- ‣Gemma 3 27B uses DENSE architecture while DeepSeek V3 uses MOE. MoE models activate fewer parameters per token, improving inference efficiency.
- ‣DeepSeek V3 is stronger at code generation (HumanEval: 65.0 vs 48.0).
- ‣DeepSeek V3 is better at math reasoning (GSM8K: 89.3 vs 85.0).