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Get all the details on Gemini 2.0 Flash, an AI model from Google. This page covers its token limits, pricing structure, key capabilities such as audio_understanding, code_execution, context_caching, available API code samples, and performance strengths.
Key Metrics
Input Limit
1M tokens
Output Limit
No data tokens
Input Cost
$0.10/1M
Output Cost
$0.40/1M
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", contents="Explain how AI works in a few words"
)
print(response.text)Required Libraries
google-genai
@google/generative-ai
Benchmarks
| Benchmark | Score | Source | Notes |
|---|---|---|---|
1355 | lmarena.ai | Score for model ID 'gemini-2.0-flash-001' on lmarena.ai | |
1039 | lmarena.ai | Score for model ID 'Gemini-2.0-Flash-001' on lmarena.ai | |
1224 | lmarena.ai | Score for model ID 'gemini-2.0-flash-001' on lmarena.ai | |
1028 | lmarena.ai | Score for model ID 'gemini-2.0-flash-grounding' on lmarena.ai | |
53.6% | Vellum | - | |
62.1% | Vellum | - | |
51.8% | Vellum | - | |
89.7% | Vellum | - | |
60.42 | Vellum | - | |
22.2% | Vellum | - | |
60.05 | LiveBench | - | |
44.25 | LiveBench | - | |
64.74 | LiveBench | - | |
63.19 | LiveBench | - | |
59.92 | LiveBench | - | |
42.39 | LiveBench | - | |
85.79 | LiveBench | - |
Notes
Our most balanced multimodal model with great performance across all tasks, built for the era of Agents. Supports a 1 million token context window. Pricing varies for audio input/context caching and Live API usage. Free tier is for testing purposes with lower rate limits.
Capabilities
audio understanding
code execution
context caching
document understanding
function calling
grounding with google search
image generation
image understanding
live api
long context
multimodal input
structured output
text generation
thinking
tuning
video understanding
vision
Supported Data Types
Input Types
text
image
video
audio
Output Types
text
image
audio
Strengths & Weaknesses
Exceptional at
instruction following
Good at
multimodal understanding
general reasoning
vision tasks
coding tasks
mathematics tasks
data analysis tasks
long context processing
Poor at
language tasks
Additional Information
Latest Update
May 13, 2025
Knowledge Cutoff
No data