How much does Gemini 2.5 Pro cost through Final Router?

$1.25 per million input tokens and $10 per million output tokens - the provider's own list price, with no markup on tokens. A 5.5% fee applies only when you add credits.

Does Gemini 2.5 Pro train on my data?

No. On the endpoint Final Router calls, Google does not train on your prompts. Data is processed in US.

How do I call Gemini 2.5 Pro?

Point any OpenAI-compatible client at https://finalrouter.com/api/v1 with your Final Router key and set model to "google/gemini-2.5-pro". Your existing code does not change.

Google · model

Gemini 2.5 Pro

Huge context, Multimodal. Called through Final Router's one OpenAI-compatible endpoint at Google's list price, with no markup on tokens.

Model id: google/gemini-2.5-pro

Input price$1.25per 1M tokens

Output price$10per 1M tokens

Context window1.048576Mtokens

Typical speed1.1smedian

Quality score92/100composite

ProviderGoogleprocessed in US

Note: Prompts over 200k tokens cost $2.50 in and $15.00 out, per 1M.

Verified 2026-08-21Google's own list price, with no markup on tokens - a 5.5% fee applies only when you add credits.

Call Gemini 2.5 Pro in one line

Gemini 2.5 Pro speaks through the same OpenAI-compatible endpoint as every other model. Point your existing client at Final Router, set the model id, and you also get automatic fallback, spend caps and usage tracking - none of which the provider gives you directly.

Call Gemini 2.5 Pro

from openai import OpenAI

client = OpenAI(
    api_key="fr_live_...",                     # your Final Router key
    base_url="https://finalrouter.com/api/v1"  # the only line you change
)

resp = client.chat.completions.create(
    model="google/gemini-2.5-pro",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)

Data & residency

The Gemini API endpoint we call is global, which in practice means processing outside the EU. Vertex AI offers European regions; that is a different integration and not this one.

Training: not used to train the model. Retention: Paid tier is not used for training; the free tier is. Check which key you connected.

Google's policy, read 2026-08-21 →

Route it, don't pin it

Name Gemini 2.5 Pro as your first choice and let a policy fall back to another model when the provider is down - your request still gets answered, and the log shows exactly what happened.

Start free

Gemini 2.5 Pro FAQ

How much does Gemini 2.5 Pro cost through Final Router?: $1.25 per million input tokens and $10 per million output tokens - the provider's own list price, with no markup on tokens. A 5.5% fee applies only when you add credits.
What is Gemini 2.5 Pro's context window?: 1,048,576 tokens.
Does Gemini 2.5 Pro train on my data?: No. On the endpoint Final Router calls, Google does not train on your prompts. Data is processed in US.
How do I call Gemini 2.5 Pro?: Point any OpenAI-compatible client at https://finalrouter.com/api/v1 with your Final Router key and set model to "google/gemini-2.5-pro". Your existing code does not change.

Compare with

All comparisons

Gemini 2.5 Pro vs Claude Sonnet 5 Gemini 2.5 Pro vs Grok 4.3 Gemini 2.5 Pro vs Kimi K3 Gemini 2.5 Pro vs DeepSeek V4 Pro

Claude Sonnet 5Anthropic

$2 in$10 out1M ctx

Balanced · Coding · Tool use

Grok 4.3xAI

$1.25 in$2.5 out1M ctx

Huge context · Cheap · Reasoning

Kimi K3Moonshot AI

$3 in$15 out1.048576M ctx

Reasoning · Huge context · Agentic coding

DeepSeek V4 ProDeepSeek

$0.66 in$1.98 out1M ctx

Reasoning · Huge context · Very cheap

gemini-2-5-proLatency and quality are seed figures used for routing order, not billing. Prices are what you are charged.