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Gemini 2.5 Pro

Gemini 2.5 Pro API pricing is $1.25 per million input tokens and $10 per million output tokens.

Provider
Google
API model name
gemini-2.5-pro
Status
Older
Input, $ per 1M tokens
$1.25
Cached input, $ per 1M tokens
$0.125
Output, $ per 1M tokens
$10.00
Sample request (10K in, 2K out), $
$0.0325
Context window, tokens
1.05M
Price checked on
Official pricing page
ai.google.dev

These rates on Google’s own API apply to prompts up to 200,000 tokens; above that, input costs $2.50 and output $15. Cached input is billed at $0.125 per million tokens. A request with 10,000 input tokens and 2,000 output tokens costs about $0.033 before caching or batch discounts, less than the $0.044 of the newer Gemini 3.1 Pro Preview. The API model name is gemini-2.5-pro, and the context window is 1.05M tokens.

Max output, tokens
65.54K
Input types
Text, image, video, audio, PDF
Open weights
No
Long-context pricing
Prompts over 200K tokens: $2.50 input, $0.25 cached input, $15 output
Sources
PageURLChecked
Gemini Developer API pricinghttps://ai.google.dev/gemini-api/docs/pricing2026-10-19
OpenRouter model listing (context and output limits)https://openrouter.ai/models2026-09-29

Questions

How much does the Gemini 2.5 Pro API cost?
Gemini 2.5 Pro costs $1.25 per million input tokens and $10 per million output tokens for prompts up to 200,000 tokens on Google’s own API. Cached input costs $0.125 per million tokens.
What is the API model name for Gemini 2.5 Pro?
Use gemini-2.5-pro in API calls to Google. The context window is 1.05M tokens, and a response can run to 65,536 output tokens.
What does one Gemini 2.5 Pro request cost?
A request with 10,000 input tokens and 2,000 output tokens costs about $0.033 at standard rates, before caching or batch discounts.
Does Gemini 2.5 Pro cost more for long prompts?
Yes. Prompts over 200K tokens: $2.50 input, $0.25 cached input, $15 output per million tokens.

Sources

Prices are read from each provider’s official pricing page: OpenAI, Anthropic, Google Gemini API, xAI, DeepSeek and Mistral AI. Context and output limits that a provider does not publish come from OpenRouter’s model listing. Each model’s Sources field lists the pages used and the date each was checked. How we check prices · Price change log

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