Google: Gemini 2.5 Flash Lite

google/gemini-2.5-flash-lite

1049KContext Window

66KMax Output

Supported Protocols:reasoninginclude_reasoningstructured_outputsresponse_formatmax_tokenstemperaturetop_pseedtoolstool_choicestop

Normal

Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency. It offers improved throughput, faster token generation, and better performance across common benchmarks compared to earlier Flash models. By default, "thinking" (i.e. multi-pass reasoning) is disabled to prioritize speed, but developers can enable it via the [Reasoning API parameter](https://openrouter.ai/docs/use-cases/reasoning-tokens) to selectively trade off cost for intelligence.

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	—	$0.1000/M tokens
Text Output	—	$0.4000/M tokens
Cache Read	—	$0.0100/M tokens
Cache Write 1h	—	$0.0833/M tokens
Cache Write	—	$0.0833/M tokens
Audio Cache Read	—	$0.0300/M tokens
Image Input	—	< $0.001/张
Audio Input	—	$0.3000/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-2.5-flash-lite",
    messages=[
        {"role": "user", "content": "Hello!"}
    ],
)

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