SI Model · Google DeepMind
Gemini 3.8 Flash
On this page
| Developer | Google DeepMind |
|---|---|
| Released | September 2, 2026 |
| Status | Current |
| Inputs | Text, Images, Audio, Video |
| Context window | 1M tokens |
| API price (input) | $0.75 / 1M tokens |
| API price (output) | $3.75 / 1M tokens |
| Open weights | No |
| Access | Gemini API, Vertex AI, Gemini app |
Specs and list prices last verified October 7, 2026. Prices change often; check the provider before you buy.
Strengths
- Low introductory price
- About 1M-token multimodal context
- Strong for long-horizon software engineering and agents
Best for
- Cost-sensitive production apps
- Multimodal document and video analysis
- High-volume agent workflows
Gemini 3.8 Flash is Google’s workhorse model as of October 2026, and its newest stable release. Google describes it as “our most intelligent Flash model, engineered for long-horizon software engineering, autonomous agents, and complex enterprise workflows.”
Key specs
- Context window: 1,048,576 tokens
- Inputs: text, images, audio and video (multimodal)
- Price: $0.75 per million input tokens and $3.75 per million output tokens, introductory pricing through December 31, 2026
- Status: generally available (stable)
Why it’s popular
Flash models trade a little top-end capability for big savings in cost and speed. With a million-token multimodal context, 3.8 Flash can take in long videos, large codebases or hundreds of pages in one go, at a fraction of flagship prices.
Compare
- Claude Sonnet 5.5 vs Gemini 3.8 Flash
- GPT-6 Luna vs Gemini 3.8 Flash
- Google’s next-generation flagship: Gemini 4 Argon
Frequently asked questions
Will Gemini 3.8 Flash pricing go up?
Yes, probably. Google lists $0.75 per million input tokens and $3.75 per million output tokens as introductory pricing through December 31, 2026, and has announced pricing increases from January 1, 2027.
Sources
- Gemini API pricing — Google
- Gemini API models — Google
Written by
Luka Kušec · Editor
Editor of SI.info. Writes about Super Intelligence, technology policy and the people building frontier models.