Google DeepMind
Gemini 3.6 Flash
High-throughput multimodal at low cost.
Value alignment
64/100
Performance fit
89/100
Powered by: Gemini (Google)
Reasoning
89
Coding
88
Writing
86
Analysis
88
Speed
96
What Gemini 3.6 Flash does
Gemini 3.6 Flash is built by Google DeepMind and is positioned for chat, summarization, multimodal and code. Our readings score it strongest on response speed and multi-step reasoning.
Its weakest measured axis is long-form writing (86/100), so plan around that when the work depends on it. Access is freemium, and the weights are closed, so you can only reach it through the vendor's own service.
Ethical stance
Transparency reads 66/100. Some model cards and evaluations are public, but training data and methods are only partly described.
Labor and job-displacement posture reads 56/100. There is partial disclosure on data work and workforce impact, with clear gaps.
Regulatory posture reads 70/100. Gemini 3.6 Flash's vendor engages constructively with binding AI rules.
Privacy and data handling
Privacy and data handling reads 54/100. Training opt-out and retention controls exist, but defaults or consumer tiers are less protective.
Because the weights are closed, every prompt is processed on vendor infrastructure — treat regulated or confidential data accordingly.
Energy, carbon and water
Carbon footprint reads 79/100. Serving runs largely on low-carbon power, with credible reporting behind it.
Water and local impact reads 58/100. Some sites use evaporative cooling in regions with moderate water stress.
Speed and efficiency also matter here: a 96/100 speed reading means fewer compute-seconds per answer for routine work.
Diagnostic notes
Operator reports carbon-matched grid purchasing; evaporative cooling in several regions.
Readings are DoctorKnow.ai's own 0–100 assessments, compiled from vendor documentation and public reporting, and revised as new disclosures land. They are a comparison aid, not a certification.