Testimonials
Gemini 1.5 API
Harness the power of Gemini 1.5 Flash & Pro: Natively multimodal, with an industry-leading 2 million token context window
PRO
Gemini 1.5 Pro
Gemini 1.5 Pro is Google's advanced multimodal AI model designed for complex reasoning tasks.
Content generation
Visual information analysis
Multimodal question answering
Long-form content analysis
Enhanced context
Gemini 1.5 Pro can process up to 2 million tokens, enabling it to analyze large volumes of data like lengthy documents, books, codebases, and videos
Latency
The latency of the Gemini 1.5 Pro model is approximately 0.85 to 0.86 seconds to receive the first token (time to first token, TTFT)
Accuracy
Gemini 1.5 Pro has a win-rate of 87.9% across 33 benchmarks, significantly outperforming its predecessor, Gemini 1.0 Pro
Speed
Gemini 1.5 Flash
The Gemini 1.5 Flash model is Google's fastest and most cost-efficient multimodal AI model, optimized for high-frequency tasks.
Multimodal Capabilities
Speed and Efficiency
Context Window
Cost-Effectiveness
Ultra-fast inference times
Gemini 1.5 Flash has an average first-token latency of less than one second, allowing users to start seeing output quickly after entering their queries.
Latency
Gemini 1.5 Flash offers a cost-effective pricing structure. This makes it an economical choice for developers and businesses needing efficient AI solutions at scale.
Accuracy
The model achieves a MMLU score of 0.789, indicating strong performance across various tasks.
foundation
Gemini 1.0 Pro
Gemini 1.0 Pro serves as a foundational model for developers looking to implement AI in natural language tasks, offering robust capabilities in text understanding and generation.
Multi-language Support
Enhanced Security
Integration Ease
Scalability
API Endpoints
Gemini 1.5 Pro
Designed for applications requiring comprehensive data analysis, such as research, content generation, and complex reasoning tasks.
import os
from openai import OpenAI
client = OpenAI(
api_key="<YOUR_API_KEY>",
base_url="https://api.aimlapi.com",
)
response = client.chat.completions.create(
model="gemini-1.5-pro",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")import os
from openai import OpenAI
client = OpenAI(
api_key="<YOUR_API_KEY>",
base_url="https://api.aimlapi.com",
)
response = client.chat.completions.create(
model="gemini-pro",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")Gemini 1.0 Pro
Gemini 1.0 Pro's training data encompasses a variety of domains, including literature, scientific articles, social media, and multimedia content, amounting to several terabytes of information.
Gemini 1.5 Flash
This model is designed for applications requiring rapid responses, such as chatbots, on-demand content generation, and real-time data analysis.
import os
from openai import OpenAI
client = OpenAI(
api_key="<YOUR_API_KEY>",
base_url="https://api.aimlapi.com",
)
response = client.chat.completions.create(
model="gemini-1.5-flash",
messages=[
{
"role": "system",
"content": "You are an AI assistant who knows everything.",
},
{
"role": "user",
"content": "Tell me, why is the sky blue?"
},
],
)
message = response.choices[0].message.content
print(f"Assistant: {message}")
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Frequently asked questions
How can I get started with the Gemini API?
Obtain an API key from the AI/ML API dashboard, then follow the documentation to integrate the API into your projects.
What are the pricing details for the Gemini models?
Pricing varies by model usage; for example, Gemini 1.5 Flash is priced at $0.000039 per 1K input tokens and $0.000157 per 1K output tokens. For other models you can see the price description on the price page.
How secure is the AI/ML API?
Security is a top priority. The API uses industry-standard encryption and complies with major data privacy regulations to ensure your data is protected.
Is there a free tier available?
Yes, we offer a free tier forever with a limited number of requests so you can test the API before committing to a paid plan.
What's the difference between Gemini 1.5 Flash and Gemini 1.5 Pro?
Gemini 1.5 Flash is optimized for speed and real-time applications, while Gemini 1.5 Pro offers more advanced reasoning capabilities and is suited for complex tasks.
What kind of support do you offer?
We provide 24/7 technical support, comprehensive documentation, and a Discord community. Enterprise customers receive dedicated support channels.
