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Gemma 3 27B vs DeepSeek R1

Google
Gemma 3 27B

Google · 27B params · Quality: 76

DeepSeek
DeepSeek R1

DeepSeek · 671B params · Quality: 92

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

ProviderGemma 3 27B In $/MOut $/MDeepSeek R1 In $/MOut $/M
google$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).

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