About
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks.
Pricing
| Input | $0.88 | per 1M prompt tokens |
|---|---|---|
| Output | $7.00 | per 1M generated tokens, reasoning included |
| Cached input | $0.17 | per 1M tokens read back from the prompt cache |
| Input over 200K | $1.75 | the whole prompt is billed at this rate once it passes the threshold |
| Output over 200K | $10.50 | applies to replies to those prompts |
| Web search | $0.020 | per request that uses the provider’s built-in search |
What a request costs
| Typical request | Each | Per 1,000 |
|---|---|---|
| Short chat reply1,500 in · 400 out | $0.0041 | $4.11 |
| Question over a long document40,000 in · 800 out | $0.041 | $40.60 |
| Agent tool step20,000 in · 1,200 out | $0.026 | $25.90 |
| Very long prompt (over 200K)250,000 in · 1,500 out | $0.453 | $453.25 |
At the developer-API rate, before any provider promotion or prompt-cache saving. In the app, the model picker shows what a message costs on your plan before you send it.
Benchmarks
Head-to-head rankings
- #49Data vizModel arenaElo 122368% wins
- #78WebsitesModel arenaElo 116958% wins
- #79UI componentsModel arenaElo 113958% wins
- #81CodeModel arenaElo 115458% wins
- #88Game devModel arenaElo 111554% wins
- #933DModel arenaElo 108151% wins
Scores from Artificial Analysis; bars are scaled to the best model on our list. Rankings from Design Arena head-to-head votes. Published by OpenRouter alongside its catalogue.
Call it from code
OpenAI-compatible: point any OpenAI SDK at https://api.privateer.pro/v1 and set
model. Keys are created in the app under Settings.
cURL
curl https://api.privateer.pro/v1/chat/completions \
-H "Authorization: Bearer $PRIVATEER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-2.5-pro:batch",
"messages": [{ "role": "user", "content": "Hello" }]
}'Python
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.privateer.pro/v1",
api_key=os.environ["PRIVATEER_API_KEY"],
)
reply = client.chat.completions.create(
model="google/gemini-2.5-pro:batch",
messages=[{"role": "user", "content": "Hello"}],
)
print(reply.choices[0].message.content)JavaScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.privateer.pro/v1",
apiKey: process.env.PRIVATEER_API_KEY,
});
const reply = await client.chat.completions.create({
model: "google/gemini-2.5-pro:batch",
messages: [{ role: "user", content: "Hello" }],
});
console.log(reply.choices[0].message.content);Parameters this model accepts
include_reasoningmax_tokensreasoningresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_p