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[ARTICLE · art-119321] src=arstechnica.com ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

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

Google released Gemini 3.8 Flash and Gemini 3.8 Flash Cyber, its third Flash model in six weeks, with API pricing at $0.75 per million input tokens and $3.75 per million output tokens through the end of the year. The models are positioned as Google's best reasoning and coding models yet, with the Cyber variant tuned for vulnerability detection and mitigation.

read1 min views1 publishedSep 2, 2026
Google releases Gemini 3.8 Flash, its third Flash model in six weeks
Image: Arstechnica (auto-discovered)

Google hasn’t released a frontier-level Gemini Pro AI model since early 2026, but it sure loves rolling out new Gemini Flash variants. Today, Google is announcing its third Flash model release in just six weeks, making it more likely that we’ll never see the promised Gemini 3.5 Pro. But no matter, says Google, because Gemini 3.8 Flash is its best reasoning and coding model yet.

Gemini 3.8 Flash comes in two variations. There’s the standard Flash, which Google describes as a “workhorse” model that’s good for anything from agentic tasks to software development. Then we have Gemini 3.8 Flash Cyber, which runs on the same foundations but has been tuned for vulnerability detection and mitigation.

For developers, Google has the same pitch as it did for the 3.7 Flash release just a couple of weeks ago. API access to the model is available at an “introductory rate” through the end of the year: $0.75 per million input tokens and $3.75 per million output tokens. The regular price will be $1.50 / $7.50, but it’s likely there will be new models available long before the price changes. Google probably sees the lower prices as a necessity given that other AI labs have recently dropped token pricing to keep increasingly wary businesses engaged with AI tools. Google has offered its usual raft of benchmark numbers, which appear to show Gemini 3.8 Flash competing with (or even beating) larger and more expensive models. The numbers show a marginal improvement over Gemini 3.7 Flash in most tests, but the gains are larger in coding evaluations.

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