Google: Gemma 3 27B
Capabilities
Strengths
- Open weights enable full local privacy control
- Strong multimodal (vision+text) capability at accessible price
- Excellent long-context handling (262K tokens)
- Multilingual support (140+ languages)
- Competitive conversation and generation quality
Weaknesses
- Vision performance lags behind flagship models
- Non-commercial license restricts enterprise deployment
- Smaller than flagship models; lower reasoning ceiling
- Training data composition not fully transparent
Pricing
Input / 1M tokens
$0.08
Output / 1M tokens
$0.44999999999999996
Context window
262.144k
Transparency
Open weights
10.0 / 10
Open training data
0.0 / 10
Open methodology
6.5 / 10
Licence openness
7.0 / 10
Provider disclosure
6.0 / 10
FMTI company score
N/A
Gemma 3 27B ships with open weights under a non-commercial license. Google publishes model cards and some training details, but full training data and methodology remain proprietary. Open-weight status enables self-hosting and local deployment for privacy-conscious users.
Sustainability
Inference energy
N/A
Training footprint
N/A
Provider infrastructure
7.5 / 10
Google operates among the world's largest renewable energy commitments, powering data centers with substantial clean energy. 27B parameter size is moderate, suggesting lower per-inference energy than flagship models. Training footprint unknown but Google's infrastructure advantage is material.