gemini-2.0-flash

completions

bygemini

gemini-2.0-flash

completions

Published by: googleProvider:

gemini

Google's most capable multi-modal model with great performance across all tasks, with a 1 million token context window, and built for the era of Agents.

Released

Dec 1, 2024

Knowledge

Aug 1, 2024

License

Proprietary

Context

Input

$0.1 / 1M tokens

Output

$0.4 / 1M tokens

Capabilities: tools

Accepts: text, image, audio, video

Returns: text

Released Dec 1, 2024Knowledge Cutoff: Aug 1, 2024License: Proprietary

Context: 1M Input: $0.1 / 1M tokensOutput: $0.4 / 1M tokensCapabilities: toolsAccepts: text, image, audio, videoReturns: text

Access gemini-2.0-flash through LangDB AI Gateway

Recommended

Integrate with google's gemini-2.0-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-2.0-flash

Overall Performance: 44.6203125 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	33.00	Top 33%	Mathematics
AA Coding Index	33.40	Top 36%	Programming
AAII	34.00	Top 34%	General
AA Math Index	21.70	Top 64%	Mathematics
GPQA	62.20	Top 36%	STEM (Physics, Chemistry, Biology)
HLE	5.30	Top 29%	General Knowledge
LiveCodeBench	33.40	Top 46%	Programming
MATH-500	93.00	Top 25%	Mathematics
MMLU-Pro	77.15	Top 32%	General Knowledge
MMMU	70.70	Top 50%	General Knowledge
SciCode	33.30	Top 30%	Scientific

GPQA Score: 62.20 - Graduate-level reasoning benchmark

Model Comparison:

Provider: gemini

Model Type: completions

Context Size: 1000000 tokens

Comparing against 345 models in the database

Performance Analytics for gemini-2.0-flash

Usage Statistics (Last 8 Days):

Total Requests: 645 API calls
Average TPS: 3159.61 tokens per second
Average Response Time: 2716.40ms
Average Time to First Token: 1303.50ms
Total Cost: $0.74
Average Request Cost: $0.0011

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/13/2025	180	3137.69	2821.70ms	1126.20ms	$0.21
9/14/2025	73	4340.23	2150.60ms	615.70ms	$0.09
9/15/2025	111	2279.87	2157.10ms	486.20ms	$0.07
9/16/2025	74	2229.01	4216.40ms	3037.00ms	$0.10
9/17/2025	129	3285.03	2861.70ms	2043.10ms	$0.16
9/18/2025	12	1332.43	2318.30ms	450.10ms	$0.01
9/19/2025	46	7292.31	1615.50ms	767.50ms	$0.07
9/20/2025	20	3535.29	3222.50ms	504.40ms	$0.03

Performance Summary:

Model: gemini-2.0-flash by gemini

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

Average Daily Requests: 81

Peak Daily Requests: 180

Statistics

View Full Statistics

Request Volume

Daily API requests

645

Performance (TPS)

Tokens per second

3159.61 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

AIME

33.0

Mathematics

AA Coding Index

33.4

Programming

AAII

34.0

General

AA Math Index

21.7

Mathematics

GPQA

62.2

STEM (Physics, Chemistry, Biology)

HLE

5.3

General Knowledge

LiveCodeBench

33.4

Programming

MATH-500

93.0

Mathematics

MMLU-Pro

77.2

General Knowledge

MMMU

70.7

General Knowledge

SciCode

33.3

Scientific

Metric	AIME	AA Coding Index	AAII	AA Math Index	GPQA	HLE	LiveCodeBench	MATH-500	MMLU-Pro	MMMU	SciCode
Score	33.0	33.4	34.0	21.7	62.2	5.3	33.4	93.0	77.2	70.7	33.3

Compare with Similar Models

Code Examples

Integration samples and API usage

Code Samples for gemini-2.0-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-2.0-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-2.0-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-2.0-flash",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: gemini-2.0-flash

Provider: gemini

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

Create API Key

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gemini-2.0-flash by gemini - AI Model Details, Pricing, and Performance Metrics

gemini-2.0-flash

gemini-2.0-flash

Access gemini-2.0-flash through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

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