Contents
Gemini 2.0 Flash-Lite
A state-of-the-art language model designed for specialized tasks with strong reasoning capabilities and comprehensive safety measures.
Released
5-Feb-25
Context Length
1M tokens
Knowledge Cutoff
Aug-24
CodeLMArena
Logical reasoning
Good reasoning capabilities
MathLiveBench
Mathematical ability
Good mathematical capabilities
CodeLiveBench
Coding ability
Average coding capabilities
Safety Metrics
Safety testing data not yet available for this model
This model has not yet undergone our comprehensive safety evaluations.
Safety metrics include safe response rates, unsafe response handling, and jailbreaking resistance tests.
Industry Comparison
How this model compares to industry standards
Performance vs. Industry Average
Competitive Positioning
Recommendation:
Recommended for specific business functions with good performance-to-cost ratio.
Pricing Information
Token costs and usage estimates
Input Cost
$0.08 per million tokens
Output Cost
$0.3 per million tokens
Cost Comparison
Based on average usage of 5M input tokens and 3M output tokens per month
Cost Calculator
Estimate token usage costs for your specific needs
Estimated Cost
Based on your token selection
Business Decision Guide
Key factors to consider when adopting this model for enterprise use
Safety Profile
Safety metrics not yet available for this model.
Performance Metrics
Strong in reasoning, mathematics, . Ideal for complex tasks.
Cost Efficiency
Low cost with excellent context handling.
Estimated ROI Impact
Time Savings
25-30%
Cost Reduction
20-25%
Quality Improvement
TBD
Overall Rating
Very Good
This data is generated based on the model benchmarks available in public documentation.
Recommended Business Use Cases
Optimize your workflows with tailored AI solutions
Content Creation
Generate articles, blogs, and marketing copy
Best for:Marketing teams, publishers, content agencies
Chatbot
Create conversational AI assistants
Best for:Customer engagement, website assistants
Customer Service
Automate support and improve response times
Best for:Support teams, customer success departments
Creative Projects
Generate ideas, stories, and creative content
Best for:Design teams, storytellers, game developers
Code Generation
Create and debug programming code
Best for:Development teams, engineering departments
Research Assistant
Analyze information and support research
Best for:R&D departments, data analysis teams
This data is generated based on the model benchmarks available in public documentation.