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Gemini 3 Flash

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gemini-3-flash-preview

Gemini 3 Flash 主打高速与高性价比，适合大批量、低延迟的对话与 Agent 场景。完全兼容 OpenAI 接口，支持流式输出，把 model 改成 gemini-3-flash-preview 即可接入。

文本对话高速流式输出OpenAI 兼容
Get API Key → API Docs

Live Test · Playground

Try out Gemini 3 Flash right here (available after login)。

Input

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联网搜索 · Web search
Memory · multi-turn

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About Gemini 3 Flash

Gemini 3 Flash is Google's high-speed chat model, optimized for low latency, high concurrency, and strong cost efficiency, making it well suited to real-time interactions and high-volume request workloads. It keeps multi-turn conversation and everyday reasoning while prioritizing fast responses and a low per-request cost. On NezhaGate it is served through an OpenAI-compatible API: set model to "gemini-3-flash-preview", point base_url at NezhaGate, and reuse your existing OpenAI SDK. Billing is pay-as-you-go, and failed requests are not charged.

Use cases

Real-time chat assistants

Powers support bots, site Q&A, and in-app assistants with low-latency replies, keeping latency-sensitive interactions smooth.

High-volume batch processing

Ideal for tagging, classification, and extraction across large request volumes, clearing big workloads quickly at a low per-request cost.

Streaming conversations

Supports streaming responses so answers appear token by token, giving chat UIs and writing tools an instant, typewriter-style feel.

Drafts and summaries

Quickly produces first drafts of emails, copy, and meeting notes, or condenses long documents into key points for later human or flagship-model polish.

Intent routing

Rapidly classifies user intent in multi-channel systems and routes traffic, handing the hardest requests off to a stronger flagship model.

How to choose

Pick Gemini 3 Flash when speed and cost matter and you handle high-volume or real-time traffic. Step up to the flagship Gemini 3.1 Pro for harder, multi-step reasoning, or try Gemini 3.5 Flash if you want a newer fast thinking model. At the same fast tier, Gemini 3.6 Flash Low and GPT-5.6 Luna (OpenAI) are the comparable lightweight picks, and all of them can be swapped behind the same OpenAI-compatible API.

FAQ

What is Gemini 3 Flash?
Gemini 3 Flash is Google's high-speed chat model in the fast tier, built for low latency, high concurrency, and strong cost efficiency. It excels at real-time interactions and large request volumes, keeping multi-turn conversation and everyday reasoning while prioritizing fast responses and a low per-request cost.
Does Gemini 3 Flash support streaming?
Yes. It can return content incrementally through streaming responses, enabling token-by-token output in chat UIs and writing tools. On NezhaGate you simply enable the stream parameter in your OpenAI-compatible request.
How do I call Gemini 3 Flash with the OpenAI SDK?
Point the OpenAI SDK's base_url at NezhaGate, set api_key to your NezhaGate key, and set model to "gemini-3-flash-preview". You can then send chat requests exactly as you would for any OpenAI model, with no business-code changes; billing is pay-as-you-go and failed requests are not charged.
What is Gemini 3 Flash best for?
It is best for speed- and cost-sensitive workloads such as real-time support, in-app assistants, high-concurrency batch processing, text classification and extraction, and drafting or summarization. For tasks that demand deep, complex reasoning, a flagship model is the better fit.
Gemini 3 Flash vs Gemini 3.5 Flash: how do I choose?
Both sit in Google's fast tier. Gemini 3 Flash focuses on low-latency, cost-efficient conversation and high-concurrency processing, while Gemini 3.5 Flash is a newer fast thinking model better suited to tasks that need some reasoning depth without giving up speed. You can switch between them under the same OpenAI-compatible API and choose based on real results.

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