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Get all the details on Gemini 2.0 Flash-Lite, an AI model from Google. This page covers its token limits, pricing structure, key capabilities such as multimodal_input, available API code samples, and performance strengths.
Key Metrics
Input Limit
No data tokens
Output Limit
No data tokens
Input Cost
$0.07/1M
Output Cost
$0.30/1M
Sample API Code
from google import genai
client = genai.Client(api_key="YOUR_API_KEY")
response = client.models.generate_content(
model="gemini-2.0-flash-lite", contents="Explain how AI works in a few words"
)
print(response.text)Required Libraries
google-genai
@google/generative-ai
Benchmarks
| Benchmark | Score | Source | Notes |
|---|---|---|---|
1312 | OpenLLM Leaderboard | Score for gemini-2.0-flash-lite-preview-02-05 | |
1159 | OpenLLM Leaderboard | Score for gemini-2.0-flash-lite-preview-02-05 | |
53.75 | LiveBench | - | |
32.25 | LiveBench | - | |
59.31 | LiveBench | - | |
54.97 | LiveBench | - | |
65.39 | LiveBench | - | |
33.94 | LiveBench | - | |
76.63 | LiveBench | - |
Notes
Our smallest and most cost effective model, built for at scale usage.
Capabilities
multimodal input
Supported Data Types
Input Types
text
image
video
audio
Output Types
text
Strengths & Weaknesses
Exceptional at
instruction following
Good at
cost effectiveness
high throughput
multimodal understanding
Poor at
complex reasoning
Additional Information
Latest Update
May 13, 2025
Knowledge Cutoff
No data