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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Benchmark Results for gemini-2.5-flash-lite

Overall Performance: 44.657500000000006 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	50.00	Top 30%	Mathematics
AA Coding Index	19.90	Top 78%	Programming
AAII	30.10	Top 49%	General
AA Math Index	35.30	Top 55%	Mathematics
GPQA	64.60	Top 43%	STEM (Physics, Chemistry, Biology)
HLE	3.70	Top 87%	General Knowledge
LiveCodeBench	40.00	Top 41%	Programming
MATH-500	92.60	Top 33%	Mathematics
MMLU-Pro	72.40	Top 60%	General Knowledge
MMMU	72.90	Top 44%	General Knowledge
SciCode	17.70	Top 79%	Scientific

GPQA Score: 64.60 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 1048576 tokens

Comparing against 335 models in the database

Category Scores

Benchmark Tests

View Other Benchmarks

AIME

50.0

Mathematics

AA Coding Index

19.9

Programming

AAII

30.1

General

AA Math Index

35.3

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	19.9	30.1	35.3	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

Create API Key

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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

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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