Google

Gemini 3 Flash Preview

google/gemini-3-flash
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Gemini 3 Flash Preview 旨在以极高的速度和性价比提供强大的代理功能(接近专业级)。它非常适合进行多轮对话,并能与您的编码代理进行流畅的双向协作。与 2.5 Flash 版本相比,它在各方面都实现了显著提升。 Gemini 3 型号是具有思考能力的模型,能够在做出反应之前进行推理,从而提高性能和准确性。

Input / output modalities
文本 · 图像 · 视频 to 文本
Reference input / output price
Input¥3.5Output¥21per 1M tokens
Context window
1M
Added to catalog
Dec 18, 2025

Providers and pricing

ProviderInput /MOutput /MCached /MContextMax outputDetails
Google Vertex¥3.5¥21¥0.351M65.5K
OpenRouter¥3.5¥21¥0.351M65.5K

Google Vertex

Latency
7.96s
Throughput
189 tokens/s
Context
1M

Pricing

Input
¥3.5/M tokens
Output
¥21/M tokens
Cached
¥0.35/M tokens

Specifications

Context
1M
Max output
65.5K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

OpenRouter

Latency
3.08s
Throughput
293 tokens/s
Context
1M

Pricing

Input
¥3.5/M tokens
Output
¥21/M tokens
Cached
¥0.35/M tokens

Additional pricing

Cache write
¥0.58
Cache read
¥0.35

Specifications

Context
1M
Max output
65.5K
Supported APIs
/v1/chat/completions/v1/messages/v1/responses/v1beta/models/*/v1/models/*

Gemini 3 Flash Preview code examples and API guide

Modelmesh normalizes requests and responses across service providers behind one consistent API.

Modelmesh provides an OpenAI-compatible Completion API for more than 300 models and service providers. Call it directly, through the OpenAI SDK, or with supported third-party SDKs.

Modelmesh-specific request headers in these examples are optional. When supplied, your application can appear on the Modelmesh rankings.

Supported endpointsSelect an endpoint to switch the example below.
/v1/chat/completions
from openai import OpenAI API_KEY = "$SSY_API_KEY" client = OpenAI( base_url="https://router.shengsuanyun.com/api/v1", api_key=API_KEY, ) try: completion = client.chat.completions.create( model="google/gemini-3-flash", messages=[{"role": "user", "content": "Which number is larger, 9.11 or 9.8?"}], temperature=0.6, top_p=0.7, stream=True, ) response_text = "" for chunk in completion: if chunk.choices and chunk.choices[0].delta.content is not None: content = chunk.choices[0].delta.content print(content, end="", flush=True) response_text += content except Exception as error: print(f"Request failed: {error}")
                
              

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