LLMs
LLMs
Gemini 2.5 Flash Preview API
Google’s cost-efficient reasoning model combines the speed and affordability of 2.0 Flash with major upgrades in analytical performance.

1RPC.ai
Reasoning
Speed
$0.15
/
$0.60
Input/Output
1,000,000
Context Window
Gemini 2.5 Flash Preview
Gemini 2.5 Flash Preview was publicly released on March 25, 2025, as an advanced preview of Google’s 2.5 Flash model, designed to provide an excellent balance of price and performance.
It supports the full suite of Gemini 2.5 capabilities, including the unique “thinking” mode with adjustable compute budgets, tool integrations like Google Search and code execution, and a large 1 million-token context window.
What it’s optimized for
Gemini 2.5 Flash Preview specializes in:
High-throughput, low-latency reasoning suited for large-scale, real-time AI workloads
Multimodal inputs encompassing text, images, audio, and video data
Price-performance balance enabling cost-effective deployment at scale
Adaptive “thinking” control to enhance accuracy on complex tasks while managing latency
Tool use including function calling, grounding with Google Search, and code execution
Large-context workflows with up to 1 million tokens for in-depth document and conversational understanding
Typical use cases
Gemini 2.5 Flash Preview excels in:
Automated summarization and comprehensive categorization over massive documents and multimedia
Real-time classification and content moderation pipelines requiring fast inference
Multimodal question answering combining insights from text, images, and videos
Interactive AI apps that demand adaptive reasoning and tool-enabled functionality
High-volume workflows in enterprise and developer environments focused on cost-efficiency and responsiveness
Key characteristics
1 million-token context window allows the processing of long documents, codebases, and conversations
Supports up to 8,000 output tokens for detailed responses
Approximately 214 tokens per second generation rate for rapid output
Handles text, image, audio, and video inputs natively
Users can configure “thinking budgets” to balance precision and latency for adaptive thinking
Supports function calling, code execution, and grounding with Google Search
Higher accuracy than Gemini 2.0 Flash-Lite on coding, math, science, reasoning, and multimodal benchmarks
Model architecture
Gemini 2.5 Flash Preview is built on a sophisticated multimodal transformer framework with mixture-of-experts routing and advanced attention mechanisms that power its massive context capabilities.
It incorporates adaptive compute allocation to enable “thinking” modes, allowing deeper reasoning when needed while optimizing resource use for faster responses. This architecture supports rich multimodal input fusion, integrated external tool use, and large-scale deployment in cloud environments.
Why choose 1RPC.ai for Gemini 2.5 Flash Preview
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 2.5 Flash Preview offers developers and enterprises a robust, efficient AI model combining top-tier reasoning, extensive multimodal input support, and large context handling. Optimized for price-performance and adaptive thinking, it is particularly suited for latency-sensitive, high-volume applications like summarization, classification, and advanced conversational AI. Its integration with Google’s ecosystem tools and APIs further extends its versatility across real-world AI solutions.
A strong choice when you seek a scalable, multimodal AI model that balances speed, cost, and intelligence for demanding AI workflows.
Gemini 2.5 Flash Preview
Gemini 2.5 Flash Preview was publicly released on March 25, 2025, as an advanced preview of Google’s 2.5 Flash model, designed to provide an excellent balance of price and performance.
It supports the full suite of Gemini 2.5 capabilities, including the unique “thinking” mode with adjustable compute budgets, tool integrations like Google Search and code execution, and a large 1 million-token context window.
What it’s optimized for
Gemini 2.5 Flash Preview specializes in:
High-throughput, low-latency reasoning suited for large-scale, real-time AI workloads
Multimodal inputs encompassing text, images, audio, and video data
Price-performance balance enabling cost-effective deployment at scale
Adaptive “thinking” control to enhance accuracy on complex tasks while managing latency
Tool use including function calling, grounding with Google Search, and code execution
Large-context workflows with up to 1 million tokens for in-depth document and conversational understanding
Typical use cases
Gemini 2.5 Flash Preview excels in:
Automated summarization and comprehensive categorization over massive documents and multimedia
Real-time classification and content moderation pipelines requiring fast inference
Multimodal question answering combining insights from text, images, and videos
Interactive AI apps that demand adaptive reasoning and tool-enabled functionality
High-volume workflows in enterprise and developer environments focused on cost-efficiency and responsiveness
Key characteristics
1 million-token context window allows the processing of long documents, codebases, and conversations
Supports up to 8,000 output tokens for detailed responses
Approximately 214 tokens per second generation rate for rapid output
Handles text, image, audio, and video inputs natively
Users can configure “thinking budgets” to balance precision and latency for adaptive thinking
Supports function calling, code execution, and grounding with Google Search
Higher accuracy than Gemini 2.0 Flash-Lite on coding, math, science, reasoning, and multimodal benchmarks
Model architecture
Gemini 2.5 Flash Preview is built on a sophisticated multimodal transformer framework with mixture-of-experts routing and advanced attention mechanisms that power its massive context capabilities.
It incorporates adaptive compute allocation to enable “thinking” modes, allowing deeper reasoning when needed while optimizing resource use for faster responses. This architecture supports rich multimodal input fusion, integrated external tool use, and large-scale deployment in cloud environments.
Why choose 1RPC.ai for Gemini 2.5 Flash Preview
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 2.5 Flash Preview offers developers and enterprises a robust, efficient AI model combining top-tier reasoning, extensive multimodal input support, and large context handling. Optimized for price-performance and adaptive thinking, it is particularly suited for latency-sensitive, high-volume applications like summarization, classification, and advanced conversational AI. Its integration with Google’s ecosystem tools and APIs further extends its versatility across real-world AI solutions.
A strong choice when you seek a scalable, multimodal AI model that balances speed, cost, and intelligence for demanding AI workflows.
Gemini 2.5 Flash Preview
Gemini 2.5 Flash Preview was publicly released on March 25, 2025, as an advanced preview of Google’s 2.5 Flash model, designed to provide an excellent balance of price and performance.
It supports the full suite of Gemini 2.5 capabilities, including the unique “thinking” mode with adjustable compute budgets, tool integrations like Google Search and code execution, and a large 1 million-token context window.
What it’s optimized for
Gemini 2.5 Flash Preview specializes in:
High-throughput, low-latency reasoning suited for large-scale, real-time AI workloads
Multimodal inputs encompassing text, images, audio, and video data
Price-performance balance enabling cost-effective deployment at scale
Adaptive “thinking” control to enhance accuracy on complex tasks while managing latency
Tool use including function calling, grounding with Google Search, and code execution
Large-context workflows with up to 1 million tokens for in-depth document and conversational understanding
Typical use cases
Gemini 2.5 Flash Preview excels in:
Automated summarization and comprehensive categorization over massive documents and multimedia
Real-time classification and content moderation pipelines requiring fast inference
Multimodal question answering combining insights from text, images, and videos
Interactive AI apps that demand adaptive reasoning and tool-enabled functionality
High-volume workflows in enterprise and developer environments focused on cost-efficiency and responsiveness
Key characteristics
1 million-token context window allows the processing of long documents, codebases, and conversations
Supports up to 8,000 output tokens for detailed responses
Approximately 214 tokens per second generation rate for rapid output
Handles text, image, audio, and video inputs natively
Users can configure “thinking budgets” to balance precision and latency for adaptive thinking
Supports function calling, code execution, and grounding with Google Search
Higher accuracy than Gemini 2.0 Flash-Lite on coding, math, science, reasoning, and multimodal benchmarks
Model architecture
Gemini 2.5 Flash Preview is built on a sophisticated multimodal transformer framework with mixture-of-experts routing and advanced attention mechanisms that power its massive context capabilities.
It incorporates adaptive compute allocation to enable “thinking” modes, allowing deeper reasoning when needed while optimizing resource use for faster responses. This architecture supports rich multimodal input fusion, integrated external tool use, and large-scale deployment in cloud environments.
Why choose 1RPC.ai for Gemini 2.5 Flash Preview
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 2.5 Flash Preview offers developers and enterprises a robust, efficient AI model combining top-tier reasoning, extensive multimodal input support, and large context handling. Optimized for price-performance and adaptive thinking, it is particularly suited for latency-sensitive, high-volume applications like summarization, classification, and advanced conversational AI. Its integration with Google’s ecosystem tools and APIs further extends its versatility across real-world AI solutions.
A strong choice when you seek a scalable, multimodal AI model that balances speed, cost, and intelligence for demanding AI workflows.
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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 2.5 Flash Preview
Input (100)
Output (1000 )
$0.0006
Total cost per million tokens