gemini-2.5-flash-lite-preview-06-17

completions

byopenrouter

gemini-2.5-flash-lite-preview-06-17

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

May 20, 2025

Knowledge

Jan 31, 2025

License

Proprietary

Context

1048576

Input

$0.1 / 1M tokens

Output

$0.4 / 1M tokens

Capabilities: tools

Accepts: text, image

Returns: text

Released May 20, 2025Knowledge Cutoff: Jan 31, 2025License: Proprietary

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

Access gemini-2.5-flash-lite-preview-06-17 through LangDB AI Gateway

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Benchmark Results for gemini-2.5-flash-lite-preview-06-17

Overall Performance: 58.0325 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	5.10	Top 45%	General Knowledge
AIME	50.00	Top 29%	Mathematics
GPQA	82.80	Top 7%	STEM (Physics, Chemistry, Biology)
MMMU	79.70	Top 8%	General Knowledge
SciCode	29.10	Top 52%	Scientific
MATH-500	93.20	Top 29%	Mathematics
MMLU-Pro	80.90	Top 29%	General Knowledge
LiveCodeBench	49.50	Top 39%	Programming
AA Math Index	60.30	Top 38%	Mathematics
AA Coding Index	30.00	Top 52%	Programming
AAII	40.40	Top 37%	General

GPQA Score: 82.80 - Graduate-level reasoning benchmark

Model Comparison:

Provider: openrouter

Model Type: completions

Context Size: 1048576 tokens

Comparing against 320 models in the database

Category Scores

vision#7

Benchmark Tests

View Other Benchmarks

HLE

5.1

General Knowledge

AIME

50.0

Mathematics

GPQA

82.8

STEM (Physics, Chemistry, Biology)

MMMU

79.7

General Knowledge

SciCode

29.1

Scientific

MATH-500

93.2

Mathematics

MMLU-Pro

80.9

General Knowledge

LiveCodeBench

49.5

Programming

AA Math Index

60.3

Mathematics

AA Coding Index

30.0

Programming

AAII

40.4

General

Metric	HLE	AIME	GPQA	MMMU	SciCode	MATH-500	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	5.1	50.0	82.8	79.7	29.1	93.2	80.9	49.5	60.3	30.0	40.4

Compare with Similar Models

Code Examples

Integration samples and API usage

Code Samples for gemini-2.5-flash-lite-preview-06-17

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-preview-06-17",
    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-preview-06-17",
    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-preview-06-17",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: gemini-2.5-flash-lite-preview-06-17

Provider: openrouter

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

Create API Key

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gemini-2.5-flash-lite-preview-06-17 by openrouter - AI Model Details, Pricing, and Performance Metrics

gemini-2.5-flash-lite-preview-06-17

gemini-2.5-flash-lite-preview-06-17

Access gemini-2.5-flash-lite-preview-06-17 through LangDB AI Gateway

Category Scores

Benchmark Tests

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Code Examples

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