gemini-2.5-pro-preview

completions

bygemini

gemini-2.5-pro-preview

completions

Published by: googleProvider:

gemini

Gemini 2.5 Pro Experimental is Google's state-of-the-art thinking model, capable of reasoning over complex problems in code, math, and STEM, as well as analyzing large datasets, codebases, and documents using long context.

Released

Jun 5, 2025

Knowledge

Jan 31, 2025

License

Proprietary

Context

Input

$1.25 / 1M tokens

Output

$10 / 1M tokens

Capabilities: tools

Accepts: text, image, audio, video

Returns: text

Released Jun 5, 2025Knowledge Cutoff: Jan 31, 2025License: Proprietary

Context: 1M Input: $1.25 / 1M tokensOutput: $10 / 1M tokensCapabilities: toolsAccepts: text, image, audio, videoReturns: text

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

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

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Instant Setup

99.9% Uptime

10,000+Monthly Requests

Benchmark Results for gemini-2.5-pro-preview

Category Performance Scores:

Science: Score 86.40 (Top 1% - Rank #4)
Vision: Score 82.00 (Top 4% - Rank #13)

Overall Performance: 84.2 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
GPQA	86.40	Top 1%	STEM (Physics, Chemistry, Biology)
MMMU	82.00	Top 4%	General Knowledge

GPQA Score: 86.40 - Graduate-level reasoning benchmark

Model Comparison:

Provider: gemini

Model Type: completions

Context Size: 1000000 tokens

Comparing against 324 models in the database

Performance Analytics for gemini-2.5-pro-preview

Usage Statistics (Last 4 Days):

Total Requests: 39 API calls
Average TPS: 229.22 tokens per second
Average Response Time: 10324.50ms
Average Time to First Token: 8030.40ms
Total Cost: $0.52
Average Request Cost: $0.0134

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/5/2025	1	0.00	240.80ms	240.80ms	$0.00
9/6/2025	5	302.97	3078.90ms	2646.80ms	$0.01
9/8/2025	28	238.62	11341.40ms	8682.60ms	$0.43
9/9/2025	5	170.69	13892.70ms	11319.70ms	$0.08

Performance Summary:

Model: gemini-2.5-pro-preview by gemini

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

Average Daily Requests: 10

Peak Daily Requests: 28

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

229.22 tokens/s

Category Scores

science#2 vision#2

Benchmark Tests

View Other Benchmarks

GPQA

86.4

STEM (Physics, Chemistry, Biology)

MMMU

82.0

General Knowledge

Metric	GPQA	MMMU
Score	86.4	82.0

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Code Examples

Integration samples and API usage

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

Model: gemini-2.5-pro-preview

Provider: gemini

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

Create API Key

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

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Conversations

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