Google: Gemini 3.6 Flash
Capabilities
Strengths
- Excellent coding performance (0.89) for development tasks.
- Multimodal (vision, audio, video) in single request.
- Massive 1M token context window for long documents.
- Strong reasoning and analysis across benchmarks.
- Structured output and extended thinking support.
Weaknesses
- Slow inference speed (0.23) limits real-time applications.
- Closed-source; no weight or training data access.
- Limited transparency on model methodology.
- Higher output cost ($7.5/M) vs. budget alternatives.
Pricing
Input / 1M tokens
$1.5
Output / 1M tokens
$7.5
Context window
1,048.576k
Transparency
Open weights
0.0 / 10
Open training data
0.0 / 10
Open methodology
3.5 / 10
Licence openness
1.5 / 10
Provider disclosure
5.0 / 10
FMTI company score
N/A
Closed-source model with limited public training methodology disclosure. Google publishes some research but does not open model weights or training data. Baseline transparency for proprietary LLM provider.
Sustainability
Inference energy
N/A
Training footprint
N/A
Provider infrastructure
7.5 / 10
Google has strong renewable energy commitments and operates one of the world's most efficient data center networks. However, specific inference energy and training footprint for Gemini 3.6 Flash are not publicly disclosed. Provider-level infrastructure score reflects Google's broader sustainability leadership.