gemini-1.5-flash-8b

completions

bygemini

gemini-1.5-flash-8b

completions

Published by: googleProvider:

gemini

lightweight model, smaller and faster, lower price + higher rate limits + Lower latency on small prompts (compared to 1.5 Flash)

Released

Mar 15, 2024

Knowledge

Oct 1, 2024

License

Proprietary

Context

Input

$0.04 / 1M tokens

Output

$0.15 / 1M tokens

Capabilities: tools

Accepts: text, image, audio, video

Returns: text

Released Mar 15, 2024Knowledge Cutoff: Oct 1, 2024License: Proprietary

Context: 1M Input: $0.04 / 1M tokensOutput: $0.15 / 1M tokensCapabilities: toolsAccepts: text, image, audio, videoReturns: text

Access gemini-1.5-flash-8b through LangDB AI Gateway

Recommended

Integrate with google's gemini-1.5-flash-8b 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-1.5-flash-8b

Category Performance Scores:

Academia: Score 26.73 (Top 73% - Rank #252)
Marketing: Score 44.84 (Top 41% - Rank #142)
Programming: Score 22.30 (Top 66% - Rank #228)
Science: Score 42.77 (Top 75% - Rank #259)
Vision: Score 53.70 (Top 92% - Rank #318)
Writing: Score 40.95 (Top 52% - Rank #180)

Overall Performance: 38.546875 average score across all categories

Detailed Benchmark Scores:

Benchmark	Score	Percentile	Domain
AIME	3.30	Top 83%	Mathematics
AA Coding Index	22.30	Top 66%	Programming
AAII	16.30	Top 74%	General
GPQA	37.15	Top 80%	STEM (Physics, Chemistry, Biology)
HLE	4.50	Top 50%	General Knowledge
LiveCodeBench	21.70	Top 70%	Programming
MATH-500	68.90	Top 66%	Mathematics
MMLU-Pro	57.80	Top 73%	General Knowledge
MMMU	53.70	Top 92%	General Knowledge
SciCode	22.90	Top 63%	Scientific

GPQA Score: 37.15 - 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-1.5-flash-8b

Usage Statistics (Last 2 Days):

Total Requests: 78 API calls
Average TPS: 4138.84 tokens per second
Average Response Time: 1620.60ms
Average Time to First Token: 391.50ms
Total Cost: $0.03
Average Request Cost: $0.0003

Daily Performance Breakdown:

Date	Requests	TPS	Response Time	TTFT	Cost
9/16/2025	1	10849.70	7130.20ms	4115.50ms	$0.00
9/17/2025	77	3737.67	1549.10ms	343.20ms	$0.02

Performance Summary:

Model: gemini-1.5-flash-8b by gemini

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

Average Daily Requests: 39

Peak Daily Requests: 77

Statistics

View Full Statistics

Request Volume

Daily API requests

Performance (TPS)

Tokens per second

4138.84 tokens/s

Category Scores

Benchmark Tests

View Other Benchmarks

AIME

3.3

Mathematics

AA Coding Index

22.3

Programming

AAII

16.3

General

GPQA

37.1

STEM (Physics, Chemistry, Biology)

HLE

4.5

General Knowledge

LiveCodeBench

21.7

Programming

MATH-500

68.9

Mathematics

MMLU-Pro

57.8

General Knowledge

MMMU

53.7

General Knowledge

SciCode

22.9

Scientific

Metric	AIME	AA Coding Index	AAII	GPQA	HLE	LiveCodeBench	MATH-500	MMLU-Pro	MMMU	SciCode
Score	3.3	22.3	16.3	37.1	4.5	21.7	68.9	57.8	53.7	22.9

Compare with Similar Models

Code Examples

Integration samples and API usage

Code Samples for gemini-1.5-flash-8b

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-1.5-flash-8b",
    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-1.5-flash-8b",
    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-1.5-flash-8b",
    "messages": [
        {"role": "user", "content": "Hello, how are you?"}
    ]
  }'

Model: gemini-1.5-flash-8b

Provider: gemini

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

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Access gemini-1.5-flash-8b through LangDB AI Gateway

Statistics

Category Scores

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Code Examples

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gemini-1.5-flash-8b by gemini - AI Model Details, Pricing, and Performance Metrics

gemini-1.5-flash-8b

gemini-1.5-flash-8b

Access gemini-1.5-flash-8b through LangDB AI Gateway

Statistics

Category Scores

Benchmark Tests

Compare with Similar Models

Code Examples

Related Models

gemini-2.5-pro

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