Gemma 3 27B vs DeepSeek R1
Architecture Comparison
SpecGemma 3 27BDeepSeek R1
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 R1
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 R1
Overall7692
MMLU78.090.8
HumanEval48.071.7
GSM8K85.097.3
MT-Bench82.089.0
Gemma 3 27B
MMLU
78.0
HumanEval
48.0
GSM8K
85.0
MT-Bench
82.0
DeepSeek R1
MMLU
90.8
HumanEval
71.7
GSM8K
97.3
MT-Bench
89.0
Capabilities
FeatureGemma 3 27BDeepSeek R1
Tool Use✓ Yes✓ Yes
Vision✓ Yes✗ No
Code✓ Yes✓ Yes
Math✓ Yes✓ Yes
Reasoning✗ No✓ Yes
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 R1)
$2.19/M
Input: $0.55/M
| Provider | Gemma 3 27B In $/M | Out $/M | DeepSeek R1 In $/M | Out $/M |
|---|---|---|---|---|
| $0.10 | $0.20 | — | — | |
| together | $0.30 | $0.30 | $3.00 | $7.00 |
| deepseek | — | — | $0.55 | $2.19 |
Recommendation Summary
- ‣DeepSeek R1 scores higher on overall quality (92 vs 76).
- ‣Gemma 3 27B is cheaper per output token ($0.20/M vs $2.19/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 R1 uses MOE. MoE models activate fewer parameters per token, improving inference efficiency.
- ‣DeepSeek R1 is stronger at code generation (HumanEval: 71.7 vs 48.0).
- ‣DeepSeek R1 is better at math reasoning (GSM8K: 97.3 vs 85.0).