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.

Released

Feb 25, 2025

Knowledge

Aug 1, 2024

Context

1048576

Input

$0.07 / 1M tokens

Output

$0.3 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

Released Feb 25, 2025Knowledge Cutoff: Aug 1, 2024

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

Recommended

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.

Unified API

Cost Optimization

Enterprise Security

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Free tier available • No credit card required

Instant Setup

99.9% Uptime

10,000+Monthly Requests

Benchmark Results for gemini-2.0-flash-lite-001

Category Performance Scores:

Science: Score 55.31 (Top 66% - Rank #213)
Writing: Score 52.97 (Top 43% - Rank #139)
Academia: Score 40.15 (Top 64% - Rank #207)
Marketing: Score 58.64 (Top 27% - Rank #87)

Overall Performance: 51.765763888888884 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	3.60	Top 88%	General Knowledge
AIME	27.70	Top 52%	Mathematics
GPQA	53.50	Top 64%	STEM (Physics, Chemistry, Biology)
SciCode	25.00	Top 66%	Scientific
MATH-500	87.30	Top 50%	Mathematics
MMLU-Pro	72.40	Top 64%	General Knowledge
LiveCodeBench	18.50	Top 81%	Programming
AAII	26.80	Top 70%	General

GPQA Score: 53.50 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 1048576 tokens

Comparing against 322 models in the database

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

Usage Statistics (Last 4 Days):

Total Requests: 236 API calls
Average TPS: 2233.58 tokens per second
Average Response Time: 2255.90ms
Average Time to First Token: 494.20ms
Total Cost: $0.12
Average Request Cost: $0.0005

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
11/11/2025	33	1984.92	2515.30ms	501.90ms	$0.02
11/12/2025	71	2495.26	2350.60ms	496.30ms	$0.04
11/13/2025	33	1668.52	2279.40ms	511.60ms	$0.01
11/14/2025	99	2327.53	2093.80ms	484.40ms	$0.05

Performance Summary:

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

Monitoring Period: 11/11/2025 to 11/18/2025

Average Daily Requests: 59

Peak Daily Requests: 99

Statistics

View Full Statistics

Request Volume

Daily API requests

236

Performance (TPS)

Tokens per second

2233.58 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

3.6

General Knowledge

AIME

27.7

Mathematics

GPQA

53.5

STEM (Physics, Chemistry, Biology)

SciCode

25.0

Scientific

MATH-500

87.3

Mathematics

MMLU-Pro

72.4

General Knowledge

LiveCodeBench

18.5

Programming

AAII

26.8

General

Metric	HLE	AIME	GPQA	SciCode	MATH-500	MMLU-Pro	LiveCodeBench	AAII
Score	3.6	27.7	53.5	25.0	87.3	72.4	18.5	26.8

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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/

Create API Key

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Benchmark Tests

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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

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

Related Models

afm-4.5b

aion-1.0

aion-1.0-mini

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cogito-v2-preview-deepseek-671b