gemini-2.0-flash-lite-001

completions

byopenrouter

gemini-2.0-flash-lite-001

completions

Published by: googleProvider:

openrouter

Gemini 2.0 Flash Lite offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5), all at extremely economical token prices.

Context

1048576

Input

$0.07 / 1M tokens

Output

$0.3 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

Context: 1048576 Input: $0.07 / 1M tokensOutput: $0.3 / 1M tokensCapabilities: toolsAccepts: text, imageReturns: text

Access gemini-2.0-flash-lite-001 through LangDB AI Gateway

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Integrate with google's gemini-2.0-flash-lite-001 and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

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99.9% Uptime

10,000+Monthly Requests

Performance Analytics for gemini-2.0-flash-lite-001

Usage Statistics (Last 3 Days):

Total Requests: 97 API calls
Average TPS: 3937.61 tokens per second
Average Response Time: 2797.30ms
Average Time to First Token: 2797.30ms
Total Cost: $0.10
Average Request Cost: $0.0011

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/15/2025	25	2361.50	4014.90ms	4014.90ms	$0.03
9/16/2025	56	6262.08	1947.10ms	1947.10ms	$0.06
9/17/2025	16	2399.54	3870.70ms	3870.70ms	$0.02

Performance Summary:

Model: gemini-2.0-flash-lite-001 by openrouter

Monitoring Period: 9/15/2025 to 9/22/2025

Average Daily Requests: 32

Peak Daily Requests: 56

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

3937.61 tokens/s

Code Examples

Integration samples and API usage

Code Samples for gemini-2.0-flash-lite-001

Python SDK Example:

from openai import OpenAI

client = OpenAI(
    base_url="https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    api_key="<your_api_key>"
)

response = client.chat.completions.create(
    model="gemini-2.0-flash-lite-001",
    messages=[
        {"role": "user", "content": "Hello, how are you?"}
    ]
)

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

TypeScript SDK Example:

import OpenAI from 'openai';

const client = new OpenAI({
    baseURL: "https://api.us-east-1.langdb.ai/projects/<your_project_id>",
    apiKey: "<your_api_key>"
});

const response = await client.chat.completions.create({
    model: "gemini-2.0-flash-lite-001",
    messages: [
        { role: "user", content: "Hello, how are you?" }
    ]
});

console.log(response.choices[0].message.content);

cURL Example:

curl -X POST "https://api.us-east-1.langdb.ai/projects/<your_project_id>/v1/chat/completions" \
  -H "Authorization: Bearer <your_api_key>" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-2.0-flash-lite-001",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: gemini-2.0-flash-lite-001

Provider: openrouter

API Endpoint: $https://api.us-east-1.langdb.ai

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gemini-2.0-flash-lite-001 by openrouter - AI Model Details, Pricing, and Performance Metrics

gemini-2.0-flash-lite-001

gemini-2.0-flash-lite-001

Access gemini-2.0-flash-lite-001 through LangDB AI Gateway

Statistics

Code Examples

Related Models

aion-1.0

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