gemini-2.5-pro

completions

bygemini

gemini-2.5-pro

completions

Published by: googleProvider:

gemini

Gemini 2.5 Pro is our most advanced reasoning Gemini model, capable of solving complex problems.

Released

May 20, 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 May 20, 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 through LangDB AI Gateway

Recommended

Integrate with google's gemini-2.5-pro 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

Benchmark Results for gemini-2.5-pro

Overall Performance: 68.8525 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	88.70	Top 6%	Mathematics
AA Coding Index	61.50	Top 1%	Programming
AAII	59.60	Top 3%	General
AA Math Index	92.70	Top 6%	Mathematics
GPQA	83.70	Top 4%	STEM (Physics, Chemistry, Biology)
HLE	21.10	Top 1%	General Knowledge
LiveCodeBench	80.10	Top 1%	Programming
MATH-500	96.70	Top 11%	Mathematics
MMLU-Pro	86.20	Top 2%	General Knowledge
MMMU	79.60	Top 15%	General Knowledge
SciCode	42.80	Top 2%	Scientific

GPQA Score: 83.70 - 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

Usage Statistics (Last 7 Days):

Total Requests: 215 API calls
Average TPS: 993.81 tokens per second
Average Response Time: 11939.00ms
Average Time to First Token: 8549.10ms
Total Cost: $5.59
Average Request Cost: $0.0260

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/4/2025	38	623.26	14764.70ms	10492.90ms	$0.94
9/5/2025	34	584.11	7769.30ms	6699.00ms	$0.43
9/6/2025	66	925.13	12634.80ms	9387.80ms	$1.63
9/7/2025	27	1043.25	15389.10ms	11412.50ms	$1.00
9/8/2025	22	1258.99	9038.50ms	4725.00ms	$0.52
9/9/2025	4	0.00	151.40ms	151.40ms	$0.00
9/10/2025	24	2020.84	12200.10ms	7470.10ms	$1.09

Performance Summary:

Model: gemini-2.5-pro by gemini

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

Average Daily Requests: 31

Peak Daily Requests: 66

Statistics

View Full Statistics

Request Volume

Daily API requests

215

Performance (TPS)

Tokens per second

993.81 tokens/s

Category Scores

academia#6 finance#5 marketing#18 maths#6 programming#3 science#7 vision#5 writing#14

Benchmark Tests

View Other Benchmarks

AIME

88.7

Mathematics

AA Coding Index

61.5

Programming

AAII

59.6

General

AA Math Index

92.7

Mathematics

GPQA

83.7

STEM (Physics, Chemistry, Biology)

HLE

21.1

General Knowledge

LiveCodeBench

80.1

Programming

MATH-500

96.7

Mathematics

MMLU-Pro

86.2

General Knowledge

MMMU

79.6

General Knowledge

SciCode

42.8

Scientific

Metric	AIME	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MATH-500	MMLU-Pro	MMMU	SciCode
Score	88.7	61.5	59.6	92.7	83.7	21.1	80.1	96.7	86.2	79.6	42.8

Compare with Similar Models

Code Examples

Integration samples and API usage

Code Samples for gemini-2.5-pro

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

Model: gemini-2.5-pro

Provider: gemini

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

Create API Key

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Statistics

Category Scores

Benchmark Tests

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Code Examples

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gemini-2.5-pro by gemini - AI Model Details, Pricing, and Performance Metrics

gemini-2.5-pro

gemini-2.5-pro

Access gemini-2.5-pro through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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