gemini-2.5-flash

completions

bygemini

gemini-2.5-flash

completions

Published by: googleProvider:

gemini

Google's best model in terms of price-performance, offering well-rounded capabilities.

Released

May 20, 2025

Knowledge

Jan 31, 2025

License

Proprietary

Context

Input

$0.15 / 1M tokens

Output

$0.6 / 1M tokens

Capabilities: tools

Accepts: text, image, audio, video

Returns: text

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

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

Access gemini-2.5-flash through LangDB AI Gateway

Recommended

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

Unified API

Cost Optimization

Enterprise Security

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Instant Setup

99.9% Uptime

10,000+Monthly Requests

Benchmark Results for gemini-2.5-flash

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: gemini

Model Type: completions

Context Size: 1000000 tokens

Comparing against 320 models in the database

Performance Analytics for gemini-2.5-flash

Usage Statistics (Last 5 Days):

Total Requests: 27 API calls
Average TPS: 605.59 tokens per second
Average Response Time: 5161.30ms
Average Time to First Token: 4931.50ms
Total Cost: $0.03
Average Request Cost: $0.0010

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
11/11/2025	5	650.23	17608.40ms	17608.40ms	$0.02
11/12/2025	17	663.54	2141.50ms	1776.40ms	$0.01
11/13/2025	2	22.67	286.80ms	286.80ms	$0.00
11/14/2025	1	218.20	13574.90ms	13574.90ms	$0.00
11/16/2025	2	17.10	380.10ms	380.10ms	$0.00

Performance Summary:

Model: gemini-2.5-flash by gemini

Monitoring Period: 11/11/2025 to 11/18/2025

Average Daily Requests: 5

Peak Daily Requests: 17

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

605.59 tokens/s

Category Scores

vision#3

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

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

Model: gemini-2.5-flash

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-flash by gemini - AI Model Details, Pricing, and Performance Metrics

gemini-2.5-flash

gemini-2.5-flash

Access gemini-2.5-flash through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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