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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Implement

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?"
            }
        ]
    })
)

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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)

100

Output (1000 )

1000

$0.0006

Total cost per million tokens