gemini-2.5-flash-preview-09-2025

completions

byopenrouter

gemini-2.5-flash-preview-09-2025

completions

Published by: googleProvider:

openrouter

Gemini 2.5 Flash Preview September 2025 Checkpoint is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater accuracy and nuanced context handling. Additionally, Gemini 2.5 Flash is configurable through the "max tokens for reasoning" parameter, as described in the documentation (https://openrouter.ai/docs/use-cases/reasoning-tokens#max-tokens-for-reasoning).

Context

1048576

Input

$0.3 / 1M tokens

Output

$2.5 / 1M tokens

Capabilities: tools, reasoning

Accepts: text, image

Returns: text

Context: 1048576 Input: $0.3 / 1M tokensOutput: $2.5 / 1M tokensCapabilities: tools, reasoningAccepts: text, imageReturns: text

Access gemini-2.5-flash-preview-09-2025 through LangDB AI Gateway

Recommended

Integrate with google's gemini-2.5-flash-preview-09-2025 and 250+ other models through a unified API. Monitor usage, control costs, and enhance security.

Unified API

Cost Optimization

Enterprise Security

Get Started Now

Free tier available • No credit card required

Instant Setup

99.9% Uptime

10,000+Monthly Requests

Code Examples

Integration samples and API usage

Code Samples for gemini-2.5-flash-preview-09-2025

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-preview-09-2025",
    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-preview-09-2025",
    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-preview-09-2025",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: gemini-2.5-flash-preview-09-2025

Provider: openrouter

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

Create API Key

Related Models

Similar models from openrouter

gemini-2.5-flash-preview-09-2025

gemini-2.5-flash-preview-09-2025

Access gemini-2.5-flash-preview-09-2025 through LangDB AI Gateway

Code Examples

Related Models

afm-4.5b

aion-1.0

aion-1.0-mini

aion-rp-llama-3.1-8b

coder-large

cogito-v2-preview-deepseek-671b

gemini-2.5-flash-preview-09-2025 by openrouter - AI Model Details, Pricing, and Performance Metrics

gemini-2.5-flash-preview-09-2025

gemini-2.5-flash-preview-09-2025

Access gemini-2.5-flash-preview-09-2025 through LangDB AI Gateway

Code Examples

Related Models

afm-4.5b

aion-1.0

aion-1.0-mini

aion-rp-llama-3.1-8b

coder-large

cogito-v2-preview-deepseek-671b