LLMs
LLMs
Gemini 1.5 Pro API
Gemini 1.5 Pro is a midsized multimodal AI model from Google developed to process and reason about substantial volumes of information across various modalities.
1RPC.ai
Reasoning
Speed
$1.25
/
$5
Input/Output
2,000,000
Context Window
Gemini 1.5 Pro
Gemini 1.5 Pro was publicly released in May 2024 as an evolution of the original Gemini 1.0 suite, offering significant improvements in context size, performance, and multimodal capabilitie
What it’s optimized for
Gemini 1.5 Pro specializes in:
Handling extremely large, complex multimodal data inputs (text, images, audio, video)
Advanced reasoning and multi-step problem solving over vast contexts
High-quality code analysis, generation, and debugging for extensive codebases
Translation between languages with improved nuance and fidelity
Summarization and question answering across multi-hour audio/video and large documents
Conversational AI and intelligent assistants that process multimodal context seamlessly
Typical use cases
Gemini 1.5 Pro excels in:
Analyzing and summarizing large videos and audio conversations lasting multiple hours
Processing and reasoning over long documents and books without needing chunking
Complex coding workflows including understanding, refactoring, and generating thousands of lines of code
Multimodal question answering combining insights from text, images, and video
Building intelligent customer and employee assistants able to process multimodal inputs
Translation and multilingual applications with superior understanding of context
Key characteristics
Supports text, image, audio, and video inputs, including up to 2 hours of video and 19 hours of audio per prompt
Enhanced function calling and structured outputs, generateing JSON and other structured data formats from unstructured inputs
Better in translation, coding, reasoning, and multimodal understanding compared to Gemini 1.0 models
Connects with Google Drive, YouTube Music, Calendar, and more for enriched AI interactions
Model architecture
Gemini 1.5 Pro utilizes a multimodal mixture-of-experts (MoE) architecture that selectively activates optimally specialized subnetworks per token, enabling efficient inference despite massive scale and context size.
The design supports long context windows via advanced memory and attention mechanisms and integrates native multimodal processing modules for text, image, audio, and video understanding. Enhanced tooling supports structured outputs and function calling, enabling complex application workflows.
Why choose 1RPC.ai for Gemini 1.5 Pro
Every call is directly tied to the exact model and version used, ensuring traceability and trust in your outputs
Execution runs inside hardware-backed enclaves, so the relay can’t access or log your request
Connect to multiple AI providers through a single API
Avoid provider lock-in with simple, pay-per-prompt pricing
Privacy by design with our zero-tracking infrastructure that eliminates metadata leakage and protects your activity
Summary
Gemini 1.5 Pro combines a large context window with powerful reasoning across diverse input types. It enables developers and enterprises to build intelligent applications that understand, generate, and reason over massive, complex datasets while optimizing for cost and efficiency.
Ideal for users needing large-scale, multimodal comprehension and generation in research, coding, customer service, and content analysis applications.
Gemini 1.5 Pro
Gemini 1.5 Pro was publicly released in May 2024 as an evolution of the original Gemini 1.0 suite, offering significant improvements in context size, performance, and multimodal capabilitie
What it’s optimized for
Gemini 1.5 Pro specializes in:
Handling extremely large, complex multimodal data inputs (text, images, audio, video)
Advanced reasoning and multi-step problem solving over vast contexts
High-quality code analysis, generation, and debugging for extensive codebases
Translation between languages with improved nuance and fidelity
Summarization and question answering across multi-hour audio/video and large documents
Conversational AI and intelligent assistants that process multimodal context seamlessly
Typical use cases
Gemini 1.5 Pro excels in:
Analyzing and summarizing large videos and audio conversations lasting multiple hours
Processing and reasoning over long documents and books without needing chunking
Complex coding workflows including understanding, refactoring, and generating thousands of lines of code
Multimodal question answering combining insights from text, images, and video
Building intelligent customer and employee assistants able to process multimodal inputs
Translation and multilingual applications with superior understanding of context
Key characteristics
Supports text, image, audio, and video inputs, including up to 2 hours of video and 19 hours of audio per prompt
Enhanced function calling and structured outputs, generateing JSON and other structured data formats from unstructured inputs
Better in translation, coding, reasoning, and multimodal understanding compared to Gemini 1.0 models
Connects with Google Drive, YouTube Music, Calendar, and more for enriched AI interactions
Model architecture
Gemini 1.5 Pro utilizes a multimodal mixture-of-experts (MoE) architecture that selectively activates optimally specialized subnetworks per token, enabling efficient inference despite massive scale and context size.
The design supports long context windows via advanced memory and attention mechanisms and integrates native multimodal processing modules for text, image, audio, and video understanding. Enhanced tooling supports structured outputs and function calling, enabling complex application workflows.
Why choose 1RPC.ai for Gemini 1.5 Pro
Every call is directly tied to the exact model and version used, ensuring traceability and trust in your outputs
Execution runs inside hardware-backed enclaves, so the relay can’t access or log your request
Connect to multiple AI providers through a single API
Avoid provider lock-in with simple, pay-per-prompt pricing
Privacy by design with our zero-tracking infrastructure that eliminates metadata leakage and protects your activity
Summary
Gemini 1.5 Pro combines a large context window with powerful reasoning across diverse input types. It enables developers and enterprises to build intelligent applications that understand, generate, and reason over massive, complex datasets while optimizing for cost and efficiency.
Ideal for users needing large-scale, multimodal comprehension and generation in research, coding, customer service, and content analysis applications.
Gemini 1.5 Pro
Gemini 1.5 Pro was publicly released in May 2024 as an evolution of the original Gemini 1.0 suite, offering significant improvements in context size, performance, and multimodal capabilitie
What it’s optimized for
Gemini 1.5 Pro specializes in:
Handling extremely large, complex multimodal data inputs (text, images, audio, video)
Advanced reasoning and multi-step problem solving over vast contexts
High-quality code analysis, generation, and debugging for extensive codebases
Translation between languages with improved nuance and fidelity
Summarization and question answering across multi-hour audio/video and large documents
Conversational AI and intelligent assistants that process multimodal context seamlessly
Typical use cases
Gemini 1.5 Pro excels in:
Analyzing and summarizing large videos and audio conversations lasting multiple hours
Processing and reasoning over long documents and books without needing chunking
Complex coding workflows including understanding, refactoring, and generating thousands of lines of code
Multimodal question answering combining insights from text, images, and video
Building intelligent customer and employee assistants able to process multimodal inputs
Translation and multilingual applications with superior understanding of context
Key characteristics
Supports text, image, audio, and video inputs, including up to 2 hours of video and 19 hours of audio per prompt
Enhanced function calling and structured outputs, generateing JSON and other structured data formats from unstructured inputs
Better in translation, coding, reasoning, and multimodal understanding compared to Gemini 1.0 models
Connects with Google Drive, YouTube Music, Calendar, and more for enriched AI interactions
Model architecture
Gemini 1.5 Pro utilizes a multimodal mixture-of-experts (MoE) architecture that selectively activates optimally specialized subnetworks per token, enabling efficient inference despite massive scale and context size.
The design supports long context windows via advanced memory and attention mechanisms and integrates native multimodal processing modules for text, image, audio, and video understanding. Enhanced tooling supports structured outputs and function calling, enabling complex application workflows.
Why choose 1RPC.ai for Gemini 1.5 Pro
Every call is directly tied to the exact model and version used, ensuring traceability and trust in your outputs
Execution runs inside hardware-backed enclaves, so the relay can’t access or log your request
Connect to multiple AI providers through a single API
Avoid provider lock-in with simple, pay-per-prompt pricing
Privacy by design with our zero-tracking infrastructure that eliminates metadata leakage and protects your activity
Summary
Gemini 1.5 Pro combines a large context window with powerful reasoning across diverse input types. It enables developers and enterprises to build intelligent applications that understand, generate, and reason over massive, complex datasets while optimizing for cost and efficiency.
Ideal for users needing large-scale, multimodal comprehension and generation in research, coding, customer service, and content analysis applications.
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Get started with an API-friendly relay
Send your first request to verified LLMs with a single code snippet.
import requests
import json
response = requests.post(
url="https://1rpc.ai/v1/chat/completions",
headers={
"Authorization": "Bearer <1RPC_AI_API_KEY>",
"Content-type": "application/json",
},
data=json.dumps ({
"model": "gemini-1.5-pro",
"messages": [
{
"role": "user",
"content": "What is the meaning of life?"
}
]
})
)Copy and go
Copied!
import requests
import json
response = requests.post(
url="https://1rpc.ai/v1/chat/completions",
headers={
"Authorization": "Bearer <1RPC_AI_API_KEY>",
"Content-type": "application/json",
},
data=json.dumps ({
"model": "gemini-1.5-pro",
"messages": [
{
"role": "user",
"content": "What is the meaning of life?"
}
]
})
)Copy and go
Copied!
Pricing
Pricing
Estimate Usage Across Any AI Model
Adjust input and output size to estimate token usage and costs.
Token Calculator for Gemini 1.5 Pro
Input (100)
Output (1000 )
$0.0051
Total cost per million tokens