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: 46.355 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	33.00	Top 34%	Mathematics
AA Coding Index	33.40	Top 38%	Programming
AAII	34.00	Top 36%	General
AA Math Index	63.00	Top 34%	Mathematics
GPQA	62.20	Top 38%	STEM (Physics, Chemistry, Biology)
HLE	5.30	Top 30%	General Knowledge
LiveCodeBench	33.40	Top 47%	Programming
MATH-500	93.00	Top 27%	Mathematics
MMLU-Pro	77.15	Top 32%	General Knowledge
MMMU	70.70	Top 50%	General Knowledge
SciCode	33.30	Top 34%	Scientific

GPQA Score: 62.20 - 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-2.0-flash

Usage Statistics (Last 8 Days):

Total Requests: 589 API calls
Average TPS: 3642.78 tokens per second
Average Response Time: 3461.30ms
Average Time to First Token: 592.60ms
Total Cost: $0.98
Average Request Cost: $0.0017

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/4/2025	21	3109.33	3694.00ms	575.50ms	$0.03
9/5/2025	37	6003.53	3957.50ms	720.00ms	$0.11
9/6/2025	149	2710.62	4044.60ms	481.30ms	$0.23
9/7/2025	109	4931.80	3350.70ms	632.00ms	$0.23
9/8/2025	155	3881.99	3170.40ms	569.20ms	$0.25
9/9/2025	37	4608.30	3280.00ms	649.30ms	$0.07
9/10/2025	70	1700.61	2973.30ms	513.00ms	$0.05
9/11/2025	11	1954.08	2359.40ms	1958.00ms	$0.01

Performance Summary:

Model: gemini-2.0-flash by gemini

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

Average Daily Requests: 74

Peak Daily Requests: 155

Statistics

View Full Statistics

Request Volume

Daily API requests

589

Performance (TPS)

Tokens per second

3642.78 tokens/s

Category Scores

vision#13

Benchmark Tests

View Other Benchmarks

AIME

33.0

Mathematics

AA Coding Index

33.4

Programming

AAII

34.0

General

AA Math Index

63.0

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	63.0	62.2	5.3	33.4	93.0	77.2	70.7	33.3

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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

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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

Conversations

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