gemini-2.5-flash-preview

completions

Published by: googleProvider:

gemini

Google's best model in terms of price-performance, offering well-rounded capabilities. Gemini 2.5 Flash rate limits are more restricted since it is an experimental / preview model.

License

Proprietary

Context

Input

$0.15 / 1M tokens

Output

$0.6 / 1M tokens

Capabilities: tools

Accepts: text, image, audio, video

Returns: text

License: Proprietary

Context: 1M Input: $0.15 / 1M tokensOutput: $0.6 / 1M tokensCapabilities: toolsAccepts: text, image, audio, videoReturns: text

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

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10,000+Monthly Requests

Performance Analytics for gemini-2.5-flash-preview

Usage Statistics (Last 2 Days):

Total Requests: 3 API calls
Average TPS: 0.00 tokens per second
Average Response Time: 410.40ms
Average Time to First Token: 410.40ms
Total Cost: $0.00
Average Request Cost: $0.0000

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/15/2025	1	0.00	319.90ms	319.90ms	$0.00
9/16/2025	2	0.00	455.60ms	455.60ms	$0.00

Performance Summary:

Model: gemini-2.5-flash-preview by gemini

Monitoring Period: 9/13/2025 to 9/20/2025

Average Daily Requests: 2

Peak Daily Requests: 2

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

0.00 tokens/s

Code Examples

Integration samples and API usage

Code Samples for gemini-2.5-flash-preview

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

Model: gemini-2.5-flash-preview

Provider: gemini

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