Quick answer. Gemini 3 Flash scores 86 overall, with speed 95, a 1,000,000-token window and API rates of $0.50 in and $3 out per million tokens. Truth Score is 80 and HIPAA is false. Choose it for customer-service volume and long context. Do not choose it for medical-record text.
Gemini 3 Flash is the Google balanced model ranked 4 with a weighted score of 86. This profile is about speed, a million-token context window and support-volume cost, not about treating every Google model as one product. Speed is 95 and the context factor is 100 on a 1,000,000-token window. Cost efficiency is 89. API rates are $0.50 per million input tokens and $3 per million output tokens. Task performance is 78, below GPT-5.4 and Claude Sonnet 4.6 on that factor. Truth Score is 80. Privacy is 72. GDPR and SOC 2 are true. HIPAA is false. The model is not self-hostable and jurisdiction is the United States. Perspective Score is minus 3, closer to the centre than GPT-5.4 or Claude Sonnet 4.6, and it is not part of the weighted score. Best-fit jobs listed in the dataset are customer service bots, real-time applications, high-volume classification and search augmentation. Use those jobs as the shortlist, and treat the HIPAA flag as a hard stop for medical-record text.
Speed and a million-token window
Speed is 95. The context factor is 100 because the published window is 1,000,000 tokens. That is the operational reason to open this profile: long inputs and fast replies, especially where customer service volume is the job. Task performance is 78, so a hard reasoning or coding brief should be checked against Claude Sonnet 4.6 before Flash wins on price alone.
| Speed, context and constraint | Published figure |
|---|---|
| Weighted score (rank 4 of 21) | 86 |
| Speed | 95 |
| Context window (context score 100) | 1,000,000 |
| Cost efficiency | 89 |
| API price, input / output per million | $0.50 / $3 |
| Task performance | 78 |
| Truth Score | 80 |
| Privacy | 72 |
| HIPAA flag | false |
| Perspective Score (excluded) | −3 |
Figures from /data/ai-comparison-2026.json. Last verified 2026-06-26. Scoring version v1.0. Affiliate links are off.
What the low API price does not buy
Cost efficiency is 89 at $0.50 and $3 per million tokens. That is a real advantage for classification and support drafts. It does not buy the Truth Score of Claude Sonnet 4.6, and it does not buy a HIPAA-true flag. Price the month in the calculator, then decide whether the queue can tolerate Truth Score 80.
Privacy score and the HIPAA flag
Privacy is 72. GDPR is true, SOC 2 is true, HIPAA is false. Jurisdiction is the United States and the model is not self-hostable. For medical-record text, stop here and read legal and medical questions. The flag is about data handling in the dataset, not a clinical accuracy claim.
When the frontier Gemini row is the closer peer
Gemini 3.1 Pro, ranked 6, has a weighted score of 85, task 89, Truth Score 84, privacy 74, a 1,000,000-token window, HIPAA true, and API rates of $2 and $12 per million tokens. Use Pro when the job needs that task mark and the HIPAA flag. Use Flash when speed and the $0.50 input rate are the point. The head-to-head is Gemini vs Claude. The provider page is gemini.google.com.
Support volume or a regulated draft? The match engine will not treat these as the same job. The model index lists the other two profiles.
FAQ
What is Gemini 3 Flash best at in this dataset?
The best-fit list is customer service bots, real-time applications, high-volume classification and search augmentation.
Does Gemini 3 Flash have a HIPAA flag?
No. The published compliance record marks HIPAA false. GDPR and SOC 2 are true.
How does Flash differ from Gemini 3.1 Pro?
Flash is the balanced speed and cost model, weighted 86. Gemini 3.1 Pro is the frontier row, weighted 85, with task 89, Truth Score 84 and HIPAA true.