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Google's launch of Gemini 3.8 Flash highlights a critical trade-off in LLM development: enhanced agentic reasoning and tool-calling capabilities come with increased token consumption, potentially raising operational costs despite stable per-token pricing. The model demonstrates significant gains on specialized benchmarks for software engineering and autonomous agents while integrating new safeguards against misuse in sensitive domains like CBRN and cyber offense. This release underscores the ongoing industry shift toward more complex, iterative reasoning processes that demand greater computational resources.

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Google says its new Gemini 3.8 Flash model ‘works harder’ but might cost more

The VergeSeptember 2, 20263 min read

Google launched Gemini 3.8 Flash, arriving just a few weeks after its predecessor. The company claims the new model "works harder" than Gemini 3.7 Flash by performing more reasoning steps on complex tasks and "calling tools iteratively." It has the same introductory pricing as 3.7 Flash, $0.75 per million input tokens and $3.75 per million output tokens, but could still end up costing users more. Google warns that "the model might use more tokens to maximize performance, especially at higher effort levels." Developers can keep using Gemini 3.7 Flash if they want to minimize token usage. Gemini 3.8 Flash's launch was followed by some early … Read the full story at The Verge.

Google launched Gemini 3.8 Flash, arriving just a few weeks after its predecessor. The company claims the new model “works harder” than Gemini 3.7 Flash by performing more reasoning steps on complex tasks and “calling tools iteratively.” It has the…

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