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Gemini 3.5 Flash

gemini-3.5-flash

Gemini 3.5 Flash 是 Google 新一代高速模型,内置思考能力,速度快、性价比高,适合大批量对话与 Agent 场景。完全兼容 OpenAI 接口,把 model 改成 gemini-3.5-flash 即可接入。

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About Gemini 3.5 Flash

Gemini 3.5 Flash is Google's new-generation high-speed thinking model that pairs low latency and high concurrency with an explicit thinking (reasoning) step, making it well suited to conversations and processing tasks that need both speed and some logical reasoning. On NezhaGate it is served through an OpenAI-compatible endpoint: point your base_url at NezhaGate and set the model parameter to "gemini-3.5-flash" to reuse your existing OpenAI SDK code, with pay-as-you-go billing where failed requests are not charged.

Use cases

High-concurrency chat

Power customer-support bots and Q&A assistants that need low-latency replies and stable behavior under heavy traffic.

Lightweight reasoning

Use the thinking step for tasks that need simple logical inference — classification, conditional decisions, multi-step Q&A — without reaching for a heavier flagship model.

Batch text processing

Summarize, rewrite, extract, or classify large volumes of documents, using high throughput and pay-as-you-go billing to keep unit costs in check.

Real-time agent loops

Act as a fast decision node inside tool-calling and multi-turn orchestration loops to cut the wait at every step.

Prototyping and iteration

Stand up conversational features quickly during validation, then switch cleanly to a balanced or flagship model when needed.

How to choose

Pick Gemini 3.5 Flash when you want a balance of speed, cost, and some reasoning: it is faster and cheaper than the flagship Gemini 3.1 Pro, yet adds an explicit thinking step over the more speed-only Gemini 3 Flash and Gemini 2.5 Flash. Reach for Gemini 3.1 Pro when a task needs the deepest reasoning, step up to Gemini 3.6 Flash for a newer fast thinking model, or compare GPT-5.6 Luna if you prefer a fast model from the OpenAI ecosystem.

FAQ

What is Gemini 3.5 Flash?
Gemini 3.5 Flash is Google's new-generation high-speed thinking model in the fast tier. It layers an explicit thinking (reasoning) step on top of low latency and high concurrency, making it a good fit for conversations and processing tasks that need quick responses plus some logical ability.
Does Gemini 3.5 Flash support streaming?
Yes. It returns streaming responses over the OpenAI-compatible endpoint — set stream=true in your request to receive output token by token, which enables typewriter-style UIs and reduces time to first token.
How do I call Gemini 3.5 Flash with the OpenAI SDK?
Point the OpenAI SDK's base_url at NezhaGate, supply your NezhaGate API key, and set the model parameter to "gemini-3.5-flash" — the rest of your existing OpenAI code stays the same. Billing is pay-as-you-go and failed requests are not charged.
What is Gemini 3.5 Flash best for?
It is best for high-concurrency chat, lightweight reasoning, batch text processing, and real-time agent loops — workloads that value speed yet still need some reasoning. When you need the deepest reasoning, switch to the flagship Gemini 3.1 Pro.
Gemini 3.5 Flash vs Gemini 3 Flash — how do I choose?
Both sit in the fast tier; Gemini 3 Flash leans toward pure speed and cost-effective chat, while Gemini 3.5 Flash adds an explicit thinking step. Choose Gemini 3.5 Flash when the task involves logical inference or multi-step decisions; Gemini 3 Flash is fine when you just need quick answers.

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