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

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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

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Instant Setup

99.9% Uptime

10,000+Monthly Requests

Benchmark Results for gemini-2.0-flash

Overall Performance: 43.315312500000005 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
HLE	5.30	Top 41%	General Knowledge
AIME	33.00	Top 41%	Mathematics
GPQA	62.20	Top 48%	STEM (Physics, Chemistry, Biology)
MMMU	70.70	Top 56%	General Knowledge
SciCode	33.30	Top 39%	Scientific
MATH-500	93.00	Top 34%	Mathematics
MMLU-Pro	77.15	Top 45%	General Knowledge
LiveCodeBench	33.40	Top 56%	Programming
AA Math Index	21.70	Top 72%	Mathematics
AA Coding Index	23.40	Top 66%	Programming
AAII	33.60	Top 47%	General

GPQA Score: 62.20 - 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-2.0-flash

Usage Statistics (Last 7 Days):

Total Requests: 571 API calls
Average TPS: 1667.39 tokens per second
Average Response Time: 3263.90ms
Average Time to First Token: 464.20ms
Total Cost: $0.45
Average Request Cost: $0.0008

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
11/11/2025	6	2506.09	6418.20ms	710.90ms	$0.01
11/12/2025	40	1303.45	5450.10ms	511.90ms	$0.04
11/13/2025	60	1375.52	3620.20ms	489.00ms	$0.04
11/14/2025	104	1650.61	3648.80ms	495.10ms	$0.09
11/15/2025	100	1284.35	3311.50ms	432.20ms	$0.07
11/16/2025	179	1852.97	2557.30ms	446.60ms	$0.12
11/17/2025	82	2383.57	2702.50ms	442.80ms	$0.07

Performance Summary:

Model: gemini-2.0-flash by gemini

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

Average Daily Requests: 82

Peak Daily Requests: 179

Statistics

View Full Statistics

Request Volume

Daily API requests

571

Performance (TPS)

Tokens per second

1667.39 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

HLE

5.3

General Knowledge

AIME

33.0

Mathematics

GPQA

62.2

STEM (Physics, Chemistry, Biology)

MMMU

70.7

General Knowledge

SciCode

33.3

Scientific

MATH-500

93.0

Mathematics

MMLU-Pro

77.2

General Knowledge

LiveCodeBench

33.4

Programming

AA Math Index

21.7

Mathematics

AA Coding Index

23.4

Programming

AAII

33.6

General

Metric	HLE	AIME	GPQA	MMMU	SciCode	MATH-500	MMLU-Pro	LiveCodeBench	AA Math Index	AA Coding Index	AAII
Score	5.3	33.0	62.2	70.7	33.3	93.0	77.2	33.4	21.7	23.4	33.6

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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Statistics

Category Scores

Benchmark Tests

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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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