gemini-2.0-flash-lite

completions

bygemini

gemini-2.0-flash-lite

completions

Published by: googleProvider:

gemini

Google's smallest and most cost effective model, built for at scale usage.

Released

Feb 5, 2025

Knowledge

Jun 1, 2024

License

Proprietary

Context

Input

$0.07 / 1M tokens

Output

$0.3 / 1M tokens

Accepts: text, image, audio, video

Returns: text

Released Feb 5, 2025Knowledge Cutoff: Jun 1, 2024License: Proprietary

Context: 1M Input: $0.07 / 1M tokensOutput: $0.3 / 1M tokensAccepts: text, image, audio, videoReturns: text

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

Recommended

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

Unified API

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Enterprise Security

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Instant Setup

99.9% Uptime

10,000+Monthly Requests

Benchmark Results for gemini-2.0-flash-lite

Category Performance Scores:

Science: Score 51.50 (Top 58% - Rank #188)
Vision: Score 68.00 (Top 58% - Rank #188)

Overall Performance: 59.75 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
GPQA	51.50	Top 58%	STEM (Physics, Chemistry, Biology)
MMLU-Pro	71.60	Top 53%	General Knowledge
MMMU	68.00	Top 58%	General Knowledge

GPQA Score: 51.50 - Graduate-level reasoning benchmark

Model Comparison:

Provider: gemini

Model Type: completions

Context Size: 1000000 tokens

Comparing against 324 models in the database

Performance Analytics for gemini-2.0-flash-lite

Usage Statistics (Last 3 Days):

Total Requests: 61 API calls
Average TPS: 2051.75 tokens per second
Average Response Time: 2757.10ms
Average Time to First Token: 679.00ms
Total Cost: $0.04
Average Request Cost: $0.0006

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/4/2025	6	439.58	3546.50ms	3546.50ms	$0.00
9/6/2025	35	2968.23	2302.00ms	376.20ms	$0.02
9/10/2025	20	1455.80	3316.80ms	348.80ms	$0.01

Performance Summary:

Model: gemini-2.0-flash-lite by gemini

Monitoring Period: 9/4/2025 to 9/11/2025

Average Daily Requests: 20

Peak Daily Requests: 35

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

2051.75 tokens/s

Category Scores

vision#15

Benchmark Tests

View Other Benchmarks

GPQA

51.5

STEM (Physics, Chemistry, Biology)

MMLU-Pro

71.6

General Knowledge

MMMU

68.0

General Knowledge

Metric	GPQA	MMLU-Pro	MMMU
Score	51.5	71.6	68.0

Compare with Similar Models

Code Examples

Integration samples and API usage

Code Samples for gemini-2.0-flash-lite

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",
    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",
    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",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: gemini-2.0-flash-lite

Provider: gemini

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

Create API Key

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

gemini-2.0-flash-lite

gemini-2.0-flash-lite

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

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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