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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Free tier available • No credit card required

Instant Setup

99.9% Uptime

10,000+Monthly Requests

Benchmark Results for gemini-2.5-flash

Overall Performance: 55.6225 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	50.00	Top 24%	Mathematics
AA Coding Index	39.30	Top 30%	Programming
AAII	40.40	Top 27%	General
AA Math Index	71.60	Top 24%	Mathematics
GPQA	82.80	Top 5%	STEM (Physics, Chemistry, Biology)
HLE	5.10	Top 32%	General Knowledge
LiveCodeBench	49.50	Top 29%	Programming
MATH-500	93.20	Top 26%	Mathematics
MMLU-Pro	80.90	Top 19%	General Knowledge
MMMU	79.70	Top 12%	General Knowledge
SciCode	29.10	Top 48%	Scientific

GPQA Score: 82.80 - 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-flash

Usage Statistics (Last 7 Days):

Total Requests: 269 API calls
Average TPS: 1650.92 tokens per second
Average Response Time: 6187.30ms
Average Time to First Token: 4724.80ms
Total Cost: $0.62
Average Request Cost: $0.0023

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/5/2025	6	0.00	204.30ms	204.30ms	$0.00
9/6/2025	58	3822.55	2726.30ms	891.20ms	$0.12
9/7/2025	1	246.34	15356.70ms	6928.40ms	$0.00
9/8/2025	58	123.35	8951.10ms	8951.10ms	$0.05
9/9/2025	22	583.71	17653.10ms	17042.60ms	$0.08
9/10/2025	115	3017.82	4574.30ms	2546.50ms	$0.32
9/11/2025	9	4658.21	6232.30ms	2687.70ms	$0.05

Performance Summary:

Model: gemini-2.5-flash by gemini

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

Average Daily Requests: 38

Peak Daily Requests: 115

Statistics

View Full Statistics

Request Volume

Daily API requests

269

Performance (TPS)

Tokens per second

1650.92 tokens/s

Category Scores

academia#19 science#9 vision#4

Benchmark Tests

View Other Benchmarks

AIME

50.0

Mathematics

AA Coding Index

39.3

Programming

AAII

40.4

General

AA Math Index

71.6

Mathematics

GPQA

82.8

STEM (Physics, Chemistry, Biology)

HLE

5.1

General Knowledge

LiveCodeBench

49.5

Programming

MATH-500

93.2

Mathematics

MMLU-Pro

80.9

General Knowledge

MMMU

79.7

General Knowledge

SciCode

29.1

Scientific

Metric	AIME	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MATH-500	MMLU-Pro	MMMU	SciCode
Score	50.0	39.3	40.4	71.6	82.8	5.1	49.5	93.2	80.9	79.7	29.1

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

Compare with Similar Models

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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gemini-2.5-pro

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