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Google releases Gemini 3.8 Flash, its third Flash model in six weeks

Ars Technica Ryan Whitwam Covered by 4 sources

Google launched Gemini 3.8 Flash, its third Flash model in six weeks. It says this one is its best for reasoning and coding, while the Pro model still hasn’t shown up.

Based on reporting by Ars Technica, Ryan Whitwam — read the original for the full story.

Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error

Google still hasn’t put out a frontier-level Gemini Pro model since early 2026, but it has been moving fast on the Flash side. The company is now shipping Gemini 3.8 Flash, its third Flash release in just six weeks. That pace makes the missing Gemini 3.5 Pro look even more like a promise than a product.

Google says 3.8 Flash is its strongest model yet for reasoning and coding. The release comes in two versions. The standard Flash is meant to be the workhorse option, aimed at everything from agentic tasks to software development.

Then there’s Gemini 3.8 Flash Cyber, which uses the same base model but has been tuned for vulnerability detection and mitigation. That split tells you where Google thinks the demand is: one model for general developers, another for security work.

The pricing pitch is familiar. Developers can use the model through the end of the year at an introductory API rate of $0.75 per million input tokens and $3.75 per million output tokens. After that, Google says the regular price will be $1.50 and $7.50. But if recent history is any guide, the market may move on again before those rates ever become the real story.

My take — AI-written commentary, not fact-checked reporting

This is classic Google: move fast on the cheap stuff, keep the serious-name model in the drawer, and hope nobody notices the gap. Flash keeps getting the marketing oxygen while Pro stays a rumor, which is a neat trick if you enjoy shipping cadence more than finishing the job. The token-price cuts are not generosity; they’re a defensive move in a market where buyers have started acting like buyers again.

Read more about this at: Ars Technica

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