Google: Gemini 2.5 Pro Preview

google/gemini-2.5-pro-preview

Created May 7, 20251,048,576 context

Starting at $1.25/M input tokensStarting at $10/M output tokens$5.16/K input imgs

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy and nuanced context handling. Gemini 2.5 Pro achieves top-tier performance on multiple benchmarks, including first-place positioning on the LMArena leaderboard, reflecting superior human-preference alignment and complex problem-solving abilities.

Providers for Gemini 2.5 Pro Preview

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Google Vertex US	Context 1.05M Max Output 66K Input $1.25 to $2.50 Output $10 to $15 Latency 9,771s Throughput 478.1t/s Uptime
Google AI Studio US	Context 1.05M Max Output 66K Input $1.25 to $2.50 Output $10 to $15 Latency 18,292s Throughput 477.5t/s Uptime

Apps using Gemini 2.5 Pro Preview

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Recent activity on Gemini 2.5 Pro Preview

Tokens processed per day

Uptime stats for Gemini 2.5 Pro Preview

Uptime stats for Gemini 2.5 Pro Preview across all providers

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it.

Learn more about our load balancing and customization options.

Sample code and API for Gemini 2.5 Pro Preview

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

from openai import OpenAI

client = OpenAI(
  base_url="https://openrouter.ai/api/v1",
  api_key="<OPENROUTER_API_KEY>",
)

completion = client.chat.completions.create(
  extra_headers={
    "HTTP-Referer": "<YOUR_SITE_URL>", # Optional. Site URL for rankings on openrouter.ai.
    "X-Title": "<YOUR_SITE_NAME>", # Optional. Site title for rankings on openrouter.ai.
  },
  extra_body={},
  model="google/gemini-2.5-pro-preview",
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What is in this image?"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg"
          }
        }
      ]
    }
  ]
)
print(completion.choices[0].message.content)

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.

More models from Google

Gemini 2.5 Flash Preview

Gemini 2.5 Flash is Google's state-of-the-art workhorse model, specifically designed for advanced reasoning, coding, mathematics, and scientific tasks. It includes built-in "thinking" capabilities, enabling it to provide responses with greater accuracy and nuanced context handling.

Note: This model is available in two variants: thinking and non-thinking. The output pricing varies significantly depending on whether the thinking capability is active. If you select the standard variant (without the ":thinking" suffix), the model will explicitly avoid generating thinking tokens.

To utilize the thinking capability and receive thinking tokens, you must choose the ":thinking" variant, which will then incur the higher thinking-output pricing.

Additionally, Gemini 2.5 Flash is configurable through the "max tokens for reasoning" parameter, as described in the documentation (https://openrouter.ai/docs/use-cases/reasoning-tokens#max-tokens-for-reasoning).

Gemini 2.5 Pro Experimental

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Click here to learn more about this model.

Usage of Gemini is subject to Google's Gemini Terms of Use.

Gemini 1.5 Flash 8B Experimental

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Usage of Gemini is subject to Google's Gemini Terms of Use.

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Note: This model is currently experimental and not suitable for production use-cases, and may be heavily rate-limited.

Gemini 1.5 Flash Experimental

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Usage of Gemini is subject to Google's Gemini Terms of Use.

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Gemma 2 27B

Gemma 2 27B by Google is an open model built from the same research and technology used to create the Gemini models.

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See the launch announcement for more details. Usage of Gemma is subject to Google's Gemma Terms of Use.

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See the launch announcement for more details. Usage of Gemma is subject to Google's Gemma Terms of Use.

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Gemini 1.5 Flash is designed for high-volume, high-frequency tasks where cost and latency matter. On most common tasks, Flash achieves comparable quality to other Gemini Pro models at a significantly reduced cost. Flash is well-suited for applications like chat assistants and on-demand content generation where speed and scale matter.

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Gemini 1.5 Pro

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Gemma 7B

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See the benchmarks and prompting guidelines from Deepmind.

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Google: Gemini 2.5 Pro Preview