AI Model Comparison

Compare our available AI models to choose the best one for your image analysis needs. Each model offers different strengths and is optimized for specific use cases.

Quick Comparison

Gemini 2.5 Pro

Gemini 2.5 Flash

Claude 3.7 Sonnet

GPT-4.1

Processing Speed

Time taken to analyze a single image

Moderate
Fastest
Fast
Moderate

Accuracy

Precision in object detection and analysis

Excellent
Very Good
Very Good
Good

Cost Efficiency

Value for tokens spent

Moderate
Most Efficient
Moderate
Efficient

Detail Recognition

Ability to detect and describe subtle details

Excellent
Good
Very Good
Basic

Gemini 2.5 Pro

4 tokens per image

A versatile model that excels in recognizing finer details and understanding complex visual relationships. Ideal for tasks that require an in-depth analysis.

Key Strengths

  • Enhanced detail recognition
  • Highest accuracy
  • Borderline neurotic
  • Complex relationship understanding

Limitations

  • Higher token cost per image
  • Slower processing speed
  • Resource-intensive processing

Best Use Cases

Research and academic analysis
High-stakes decision making
Complex scene analysis
When accuracy is critical

Technical Specifications

response Time
3-4 seconds
accuracy Score
95-98%
context Window
Very Large
batch Processing
Good

Gemini 2.5 Flash

1 token per image

Optimized for speed and efficiency, perfect for processing large batches of images quickly while maintaining good accuracy.

Key Strengths

  • Fastest processing speed
  • Most cost-effective option
  • Good accuracy
  • Excellent for batch processing

Limitations

  • Less detailed than Thinking model
  • Basic relationship understanding
  • May miss subtle details

Best Use Cases

Quick scanning of large image sets
Real-time analysis needs
Production environments
Cost-sensitive projects

Technical Specifications

response Time
1-2 seconds
accuracy Score
90-95%
context Window
Large
batch Processing
Excellent

Claude 3.7 Sonnet

3 tokens per image

Superior accuracy and detailed analysis capabilities, ideal for when you need precise object detection and comprehensive scene understanding.

Key Strengths

  • High accuracy
  • Detailed analysis
  • Better context understanding
  • Balanced performance

Limitations

  • Higher token cost
  • Moderate processing speed
  • Less specialized than Gemini

Best Use Cases

Detailed object analysis
Scene understanding
When balance is needed
General-purpose use

Technical Specifications

response Time
2-3 seconds
accuracy Score
92-96%
context Window
Large
batch Processing
Good

GPT-4.1

2 tokens per image

This model is designed for medium speed and less detailed analysis, suitable for quick assessments without in-depth object relationships.

Key Strengths

  • Medium processing speed
  • Basic accuracy
  • Cost-effective
  • Simple analysis

Limitations

  • Least detailed analysis
  • Basic relationship understanding
  • Limited context awareness

Best Use Cases

Basic object detection
Quick assessments
Simple scene analysis
Budget-conscious projects

Technical Specifications

response Time
2-3 seconds
accuracy Score
85-90%
context Window
Medium
batch Processing
Good

Frequently Asked Questions

How do I choose the right model?

Consider your specific needs:

  • • Choose Gemini 2.5 Flash for fast, cost-effective analysis of many images
  • • Use Claude 3.7 Sonnet when you need detailed analysis with good speed
  • • Opt for GPT-4.1 when accuracy is critical and processing time isn't a concern
  • • Choose Gemini 2.5 Pro for the highest accuracy and detailed analysis

Can I switch between models?

Yes, you can switch between models at any time. Each new analysis will use your selected model.

How are tokens calculated?

Tokens are charged per image processed. The token cost varies by model:

  • • Gemini 2.5 Pro: 4 tokens per image
  • • Gemini 2.5 Flash: 1 token per image
  • • Claude 3.7 Sonnet: 3 tokens per image
  • • GPT-4.1: 2 tokens per image