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Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite upgrades the agentic capability of the Flash-Lite tier, outperforming Gemini 3.1 Flash-Lite across thinking levels on coding, long context, and real-world task execution, with built-in computer use and a minimal default thinking level for high-throughput work. Your use is subject to Google's Terms & Privacy Policies.

ReasoningTool UseImplicit CachingFile InputVision (Image)Web Search
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import { streamText } from 'ai'


const result = streamText({
  model: 'google/gemini-3.5-flash-lite',
  prompt: 'Why is the sky blue?'
})
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About Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is the efficiency tier of the Gemini 3.5 family, released on July 21, 2026. Google built it for scaling agentic systems rather than for peak single-turn quality. Across thinking levels, Gemini 3.5 Flash Lite outperforms Gemini 3.1 Flash-Lite, and the practical effect is that a Flash-Lite model can now sit inside an agent graph instead of serving only one-shot classification.

The coding and agentic gains are wide. Gemini 3.5 Flash Lite scores 54% on Terminal-Bench 2.1 against 31% for Gemini 3.1 Flash-Lite, 72.2% on GDM-MRCR v2 for long context against 60.1%, and 1140 on GDPval-AA v2 for real-world task execution against 642. On several agentic and coding evaluations it also passes Gemini 3 Flash, including 54.2% on SWE-Bench Pro against 49.6% and 74.0% on OSWorld-Verified against 65.1%. Teams running workloads on the 2.5 or 3 Flash tiers have a cheaper option that scores higher on those tasks.

Subagent execution is the pattern Google highlights. A master agent on a heavier model, such as google/gemini-3.6-flash, decomposes a task and hands scoped pieces to Gemini 3.5 Flash Lite: read this document set, extract these fields, translate this batch, parse this JSON into a schema. Each step stays cheap and fast, so you can fan out widely without aggregate token cost dictating the architecture. Computer use ships as a built-in tool, so a scoped step can include driving a browser rather than only reading text.

Gemini 3.5 Flash Lite accepts multimodal input within a context window of 1M tokens and returns text, up to 65K tokens. Check the Specs table on this page for the current modality list. Running Gemini 3.5 Flash Lite through AI Gateway adds usage and cost tracking, automatic retries, and provider failover on one API surface, which is what keeps a wide fan-out of subagent calls observable.