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Gemini 1.5 Flash

88.6
Score

Overall Performance Score

Google Logo Google
2024-05-14
90%
TextGeneration
87%
Reasoning
86%
Coding

Overview

What is Gemini 1.5 Flash?

Fast and efficient multimodal model balancing performance with speed for practical applications.

Created by:

Google

Release Date:

2024-05-14

Capabilities Overview

TextGeneration 90%
Reasoning 87%
Coding 86%
Multimodal 90%
Safety 90%

Technical Specifications

Architecture

type: Efficient Multimodal Transformer
parameters: Unknown
context: 1,000,000 tokens
trainingDataUpTo: May 2024
architecture: Optimized Gemini architecture with efficient long-context processing, multimodal capabilities, and balanced performance

Performance Metrics

MMLU: 89.2%
HumanEval: 84.7%
Context Window: 1M tokens
Response Time: 120ms
Multimodal: 90%

Performance Dashboard

TextGeneration

90%

Reasoning

87%

Coding

86%

Multimodal

90%

Safety

90%

Technical Metrics

Parameters: Unknown
ContextWindow: 1000000
Latency: 120
Accuracy: 89.2
Cost: $0.0003/1K tokens

Benchmark Performance

MMLU 89.2%
HumanEval 84.7%
Context Window 1M tokens
Response Time 120ms
Multimodal 90%

Features

High Speed

Fast processing with minimal latency

1M Token Context

Large context window for extensive analysis

Multimodal

Text, image, and video understanding

Affordable

Cost-effective for production use

Code Capable

Good coding and technical capabilities

Balanced

Optimal balance of speed and capability

Pros & Cons

Advantages

  • Fast and efficient
  • Large context window
  • Cost-effective
  • Good multimodal

Disadvantages

  • Less capable than Pro
  • Not as advanced reasoning
  • Moderate accuracy

What can it do?

Production APIs

Build scalable AI-powered applications with fast response times

Content Processing

Analyze and process large volumes of content efficiently

Automated Workflows

Create automated pipelines for document and media processing

Frequently Asked Questions