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gemini-2.5-flash-preview-04-17

Google · Gemini 2.5

preview
Latest in family

Key Metrics

Input Limit

1.0M tokens

Output Limit

65.5K tokens

Input Cost

$0.15/1M

Output Cost

$0.60/1M

Sample API Code

import google.generativeai as genai

# Configure the API key
genai.configure(api_key="YOUR_API_KEY")

# Set up the model
model = genai.GenerativeModel('gemini-2.5-flash-preview-04-17')

# Generate content
response = model.generate_content("Explain the difference between transformers and RNNs in deep learning.")

print(response.text)

Required Libraries

google-generativeai
@google/generative-ai

Notes

Best model in terms of price-performance, offering well-rounded capabilities. Model thinks as needed or can be configured with a thinking budget. Best for low latency, high volume tasks that require thinking.

Capabilities

Multimodal input
Long context
Function calling
JSON mode
Code execution
Search grounding
Structured outputs
Thinking

Supported Data Types

Input Types

text
image
audio
video

Output Types

text

Strengths & Weaknesses

Exceptional at

Affordable
Thinking

Good at

Reasoning
Multimodal

Additional Information

Latest Update

Apr 17, 2024

Knowledge Cutoff

2025-01

ELO Score

1394