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gemini-2.5-pro API pricing & access

gemini-2.5-pro API pricing: $1.25 per 1M tokens. gemini-2.5-pro. Supports text, image, video, audio, file input and text output. Listed spe…

gemini-2.5-pro API access

gemini-2.5-pro. Supports text, image, video, audio, file input and text output. Listed specifications follow public vendor documentation. Available features and limits depend on the selected serving channel.

Compare supported API endpoints and capabilities, then access gemini-2.5-pro through the unified API gateway.

Category: text
Context length: 1048576 tokens
Maximum output: 65536 tokens
Supported APIs: Gemini API, OpenAI Chat Completions API, Anthropic Messages API
API endpoints: POST /v1beta/models/gemini-2.5-pro:generateContent, POST /v1/chat/completions, POST /v1/messages
Input modalities: text, image, video, audio, file
Output modalities: text
Capabilities: function calling, structured output, reasoning, caching, vision

gemini-2.5-pro API pricing

Base input price: $1.25 per 1M tokens
Base output price: $10 per 1M tokens

Base prices are shown in USD before group-specific adjustments. Open the live pricing page for current access-group prices.

About gemini-2.5-pro

gemini-2.5-pro is a text-output member of the Gemini 2.5 family, documented for complex reasoning over code, mathematics and long documents. It processes text, images, audio and video; its multimodal understanding produces text rather than generated media.

Google currently limits 2.5 access to users who previously used the models, while explicitly saying they are not deprecated. New projects are directed to newer versions. A platform listing does not establish eligibility on a given route.

Official reference, checked 2026-10-14.

Use cases and prompting

Supply all known conditions and request supporting evidence and checkable calculations.
Use public material with known answers to validate multimodal formatting on the route.
Confirm access to this existing version and retest thinking and tools when migrating.
Compare the same test cases with gemini-3.1-pro; check request and response formats in the API documentation.

How to call gemini-2.5-pro

gemini-2.5-pro is served through tbuy's unified gateway. Existing OpenAI or Anthropic SDK code keeps working: point base_url at https://modelsok.com and use your tbuy API key.

curl (OpenAI-compatible)

curl https://modelsok.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "gemini-2.5-pro", "messages": [{"role": "user", "content": "Hello"}]}'

Python (openai SDK)

from openai import OpenAI

client = OpenAI(base_url="https://modelsok.com/v1", api_key="YOUR_API_KEY")
response = client.chat.completions.create(
    model="gemini-2.5-pro",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Python (anthropic SDK)

from anthropic import Anthropic

client = Anthropic(base_url="https://modelsok.com", api_key="YOUR_API_KEY")
message = client.messages.create(
    model="gemini-2.5-pro",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
)
print(message.content[0].text)

Frequently asked questions about gemini-2.5-pro

What is gemini-2.5-pro?

How do I call gemini-2.5-pro?

Create an API key with access to gemini-2.5-pro, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is gemini-2.5-pro priced?

Pricing depends on the selected provider group and the model billing unit. Refer to the current input, output, request, or media prices in the pricing section.

What is the context window of gemini-2.5-pro?

The model catalog lists a context window of 1048576 tokens. Check the selected endpoint for request limits.

What is the maximum output of gemini-2.5-pro?

The model catalog lists a maximum output of 65536 tokens. Your request settings may set a lower limit.

How should I evaluate gemini-2.5-pro for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.

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