Google: Gemini 3 Flash Preview

google/gemini-3-flash-preview

1049KContext Window

66KMax Output

Supported Protocols:reasoninginclude_reasoningmax_tokenstemperaturetop_pseedresponse_formattoolstool_choicestopstructured_outputs

Normal

Gemini 3 Flash Preview is a high speed, high value thinking model designed for agentic workflows, multi turn chat, and coding assistance. It delivers near Pro level reasoning and tool use performance with substantially lower latency than larger Gemini variants, making it well suited for interactive development, long running agent loops, and collaborative coding tasks. Compared to Gemini 2.5 Flash, it provides broad quality improvements across reasoning, multimodal understanding, and reliability. The model supports a 1M token context window and multimodal inputs including text, images, audio, video, and PDFs, with text output. It includes configurable reasoning via thinking levels (minimal, low, medium, high), structured output, tool use, and automatic context caching. Gemini 3 Flash Preview is optimized for users who want strong reasoning and agentic behavior without the cost or latency of full scale frontier models.

Capabilities

👁 Vision🧠 Reasoning🔧 Function CallingText GenerationCode GenerationAnalysis & ReasoningReasoning

Technical Specs

Input Modality

Text、Image、Text、Audio、Video

Output Modality

Text

Arch

—

Default Temperature

0.7

Default Top_P

Pricing

Pay per use, no monthly fees

Billing Type	Unit	Price
Text Input	—	$0.5000/M tokens
Text Output	—	$3.0000/M tokens
Cache Read	—	$0.0500/M tokens
Cache Write 1h	—	$0.0833/M tokens
Cache Write	—	$0.0833/M tokens
Reasoning	—	$0.5000/M tokens
Audio Cache Read	—	$0.1000/M tokens
Image Input	—	< $0.001/张
Audio Input	—	$1.0000/分钟
Web Search	—	$0.0140/次

Quick Start

from openai import OpenAI

client = OpenAI(
    base_url="https://api.uniontoken.ai/v1",
    api_key="YOUR_UNIONTOKEN_API_KEY",
)

response = client.chat.completions.create(
    model="google/gemini-3-flash-preview",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

print(response.choices[0].message.content)