gemini-2.5-flash-lite

completions

byopenrouter

gemini-2.5-flash-lite

completions

Published by: googleProvider:

openrouter

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.

Released

Jun 17, 2025

Knowledge

Jan 1, 2025

License

CC-BY-4.0

Context

1048576

Input

$0.1 / 1M tokens

Output

$0.4 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

Released Jun 17, 2025Knowledge Cutoff: Jan 1, 2025License: CC-BY-4.0

Context: 1048576 Input: $0.1 / 1M tokensOutput: $0.4 / 1M tokensCapabilities: toolsAccepts: text, imageReturns: text

Access gemini-2.5-flash-lite through LangDB AI Gateway

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99.9% Uptime

10,000+Monthly Requests

Benchmark Results for gemini-2.5-flash-lite

Overall Performance: 47.05625 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	50.00	Top 24%	Mathematics
AA Coding Index	28.90	Top 51%	Programming
AAII	30.10	Top 43%	General
AA Math Index	71.30	Top 24%	Mathematics
GPQA	64.60	Top 37%	STEM (Physics, Chemistry, Biology)
HLE	3.70	Top 87%	General Knowledge
LiveCodeBench	40.00	Top 33%	Programming
MATH-500	92.60	Top 28%	Mathematics
MMLU-Pro	72.40	Top 53%	General Knowledge
MMMU	72.90	Top 42%	General Knowledge
SciCode	17.70	Top 75%	Scientific

GPQA Score: 64.60 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 1048576 tokens

Comparing against 324 models in the database

Performance Analytics for gemini-2.5-flash-lite

Usage Statistics (Last 1 Days):

Total Requests: 2 API calls
Average TPS: 4229.95 tokens per second
Average Response Time: 389.70ms
Average Time to First Token: 329.80ms
Total Cost: $0.00
Average Request Cost: $0.0002

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/5/2025	2	4229.95	389.70ms	329.80ms	$0.00

Performance Summary:

Model: gemini-2.5-flash-lite by openrouter

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

Average Daily Requests: 2

Peak Daily Requests: 2

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

4229.95 tokens/s

Category Scores

vision#11

Benchmark Tests

View Other Benchmarks

AIME

50.0

Mathematics

AA Coding Index

28.9

Programming

AAII

30.1

General

AA Math Index

71.3

Mathematics

GPQA

64.6

STEM (Physics, Chemistry, Biology)

HLE

3.7

General Knowledge

LiveCodeBench

40.0

Programming

MATH-500

92.6

Mathematics

MMLU-Pro

72.4

General Knowledge

MMMU

72.9

General Knowledge

SciCode

17.7

Scientific

Metric	AIME	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MATH-500	MMLU-Pro	MMMU	SciCode
Score	50.0	28.9	30.1	71.3	64.6	3.7	40.0	92.6	72.4	72.9	17.7

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Code Examples

Integration samples and API usage

Code Samples for gemini-2.5-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-2.5-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-2.5-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-2.5-flash-lite",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: gemini-2.5-flash-lite

Provider: openrouter

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

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gemini-2.5-flash-lite by openrouter - AI Model Details, Pricing, and Performance Metrics

gemini-2.5-flash-lite

gemini-2.5-flash-lite

Access gemini-2.5-flash-lite through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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