LLMs

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Gemini 2.5 Pro Preview API

Google’s advanced AI model is designed for high-stakes reasoning, complex problem-solving, and state-of-the-art code generation.

1RPC.ai

Reasoning

Speed

$1.25

/

$10

Input/Output

1,000,000

Context Window

Gemini 2.5 Pro Preview

Gemini 2.5 Pro Preview was released for public preview on June 5, 2025, as an upgrade to the original 2.5 Pro (I/O edition) that launched in May.

This model brings higher benchmark scores and enhanced abilities for developers and enterprises, rivaling leading frontier models in accuracy, context length, and versatility.

What it’s optimized for

Gemini 2.5 Pro Preview is tailored for:

  • Complex reasoning and agentic workflows, including high-level coding and automation

  • Large-context tasks, with robust handling of multimodal (text, audio, image, video) data

  • Enterprise and developer use cases demanding accuracy, reliability, and fine-grained control over cost/latency

  • Rigorous coding and front-end/app development, including live, interactive web apps

  • High-volume, low-latency applications at production scale

Typical use cases

Gemini 2.5 Pro Preview is particularly effective for:

  • Automated code generation, editing, and large codebase transformations

  • Interactive web and app development using single-prompt workflows

  • Large-scale document, video, or audio understanding and summarization

  • AI agent orchestration and multi-turn tool use (e.g., with function calling, grounding, code execution)

  • Enterprise-scale summarization, search, categorization, and complex query answering across varied data types

Key characteristics

  • Top-tier reasoning while maintaining leadership on benchmarks (e.g., LMArena, WebDevArena) and excels at GPQA, HLE, and coding benchmarks

  • Multimodal native while handling text, code, audio, video, and image inputs; strong in native video understanding (84.8% VideoMME), vision, and audio tasks

  • Approximately 323 tokens/second output speed; built for high-volume, low-latency workloads

  • Supports function calling, code execution, structured outputs, and grounding with Google Search as a tool

  • Better creative writing, output formatting, and response structure, based on developer feedback

  • Enhanced following of user instructions and safety guardrails for reliable, predictable outputs

  • Fewer unnecessary rejections and improved handling of nuanced requests

Model architecture

Gemini 2.5 Pro Preview is built on Google’s advanced multimodal transformer architecture, leveraging mixture-of-experts routing and adaptive “thinking budgets” to manage cost, latency, and compute for different workflows.

The model natively supports multimodal reasoning, integrated tool use, and long-sequence context to suit demanding business, development, and research applications. This architecture powers both rapid-response and “extended thinking” scenarios to maximize performance and flexibility for developers.

Why choose 1RPC.ai for Gemini 2.5 Pro 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 Pro Preview is Google’s flagship multimodal reasoning model as of mid-2025—a leader in accuracy, context, and coding—and a go-to choice for enterprises and developers needing the highest performance across complex, context-heavy, and agentic AI tasks.

Its blend of advanced reasoning, comprehensive tool integration, and full multimodal coverage enables use cases from live app development to large-scale real-world automation, all while maintaining cost-efficiency and high throughput.

Gemini 2.5 Pro Preview

Gemini 2.5 Pro Preview was released for public preview on June 5, 2025, as an upgrade to the original 2.5 Pro (I/O edition) that launched in May.

This model brings higher benchmark scores and enhanced abilities for developers and enterprises, rivaling leading frontier models in accuracy, context length, and versatility.

What it’s optimized for

Gemini 2.5 Pro Preview is tailored for:

  • Complex reasoning and agentic workflows, including high-level coding and automation

  • Large-context tasks, with robust handling of multimodal (text, audio, image, video) data

  • Enterprise and developer use cases demanding accuracy, reliability, and fine-grained control over cost/latency

  • Rigorous coding and front-end/app development, including live, interactive web apps

  • High-volume, low-latency applications at production scale

Typical use cases

Gemini 2.5 Pro Preview is particularly effective for:

  • Automated code generation, editing, and large codebase transformations

  • Interactive web and app development using single-prompt workflows

  • Large-scale document, video, or audio understanding and summarization

  • AI agent orchestration and multi-turn tool use (e.g., with function calling, grounding, code execution)

  • Enterprise-scale summarization, search, categorization, and complex query answering across varied data types

Key characteristics

  • Top-tier reasoning while maintaining leadership on benchmarks (e.g., LMArena, WebDevArena) and excels at GPQA, HLE, and coding benchmarks

  • Multimodal native while handling text, code, audio, video, and image inputs; strong in native video understanding (84.8% VideoMME), vision, and audio tasks

  • Approximately 323 tokens/second output speed; built for high-volume, low-latency workloads

  • Supports function calling, code execution, structured outputs, and grounding with Google Search as a tool

  • Better creative writing, output formatting, and response structure, based on developer feedback

  • Enhanced following of user instructions and safety guardrails for reliable, predictable outputs

  • Fewer unnecessary rejections and improved handling of nuanced requests

Model architecture

Gemini 2.5 Pro Preview is built on Google’s advanced multimodal transformer architecture, leveraging mixture-of-experts routing and adaptive “thinking budgets” to manage cost, latency, and compute for different workflows.

The model natively supports multimodal reasoning, integrated tool use, and long-sequence context to suit demanding business, development, and research applications. This architecture powers both rapid-response and “extended thinking” scenarios to maximize performance and flexibility for developers.

Why choose 1RPC.ai for Gemini 2.5 Pro 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 Pro Preview is Google’s flagship multimodal reasoning model as of mid-2025—a leader in accuracy, context, and coding—and a go-to choice for enterprises and developers needing the highest performance across complex, context-heavy, and agentic AI tasks.

Its blend of advanced reasoning, comprehensive tool integration, and full multimodal coverage enables use cases from live app development to large-scale real-world automation, all while maintaining cost-efficiency and high throughput.

Gemini 2.5 Pro Preview

Gemini 2.5 Pro Preview was released for public preview on June 5, 2025, as an upgrade to the original 2.5 Pro (I/O edition) that launched in May.

This model brings higher benchmark scores and enhanced abilities for developers and enterprises, rivaling leading frontier models in accuracy, context length, and versatility.

What it’s optimized for

Gemini 2.5 Pro Preview is tailored for:

  • Complex reasoning and agentic workflows, including high-level coding and automation

  • Large-context tasks, with robust handling of multimodal (text, audio, image, video) data

  • Enterprise and developer use cases demanding accuracy, reliability, and fine-grained control over cost/latency

  • Rigorous coding and front-end/app development, including live, interactive web apps

  • High-volume, low-latency applications at production scale

Typical use cases

Gemini 2.5 Pro Preview is particularly effective for:

  • Automated code generation, editing, and large codebase transformations

  • Interactive web and app development using single-prompt workflows

  • Large-scale document, video, or audio understanding and summarization

  • AI agent orchestration and multi-turn tool use (e.g., with function calling, grounding, code execution)

  • Enterprise-scale summarization, search, categorization, and complex query answering across varied data types

Key characteristics

  • Top-tier reasoning while maintaining leadership on benchmarks (e.g., LMArena, WebDevArena) and excels at GPQA, HLE, and coding benchmarks

  • Multimodal native while handling text, code, audio, video, and image inputs; strong in native video understanding (84.8% VideoMME), vision, and audio tasks

  • Approximately 323 tokens/second output speed; built for high-volume, low-latency workloads

  • Supports function calling, code execution, structured outputs, and grounding with Google Search as a tool

  • Better creative writing, output formatting, and response structure, based on developer feedback

  • Enhanced following of user instructions and safety guardrails for reliable, predictable outputs

  • Fewer unnecessary rejections and improved handling of nuanced requests

Model architecture

Gemini 2.5 Pro Preview is built on Google’s advanced multimodal transformer architecture, leveraging mixture-of-experts routing and adaptive “thinking budgets” to manage cost, latency, and compute for different workflows.

The model natively supports multimodal reasoning, integrated tool use, and long-sequence context to suit demanding business, development, and research applications. This architecture powers both rapid-response and “extended thinking” scenarios to maximize performance and flexibility for developers.

Why choose 1RPC.ai for Gemini 2.5 Pro 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 Pro Preview is Google’s flagship multimodal reasoning model as of mid-2025—a leader in accuracy, context, and coding—and a go-to choice for enterprises and developers needing the highest performance across complex, context-heavy, and agentic AI tasks.

Its blend of advanced reasoning, comprehensive tool integration, and full multimodal coverage enables use cases from live app development to large-scale real-world automation, all while maintaining cost-efficiency and high throughput.

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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-2.5-pro-preview-06-05",
        "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-2.5-pro-preview-06-05",
        "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 Pro Preview

Input (100)

100

Output (1000 )

1000

$0.0101

Total cost per million tokens