Google/operational
Google: Gemini 2.5 Pro
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...
1.0M
Context window
tokens
66K
Max output
tokens per reply
69ms
Time to first token
p50, EU region
$10.00
Output price
per 1M tokens
Fit
Where this model earns its place
function calling
Tool use and structured output — dependable JSON for agent loops, RAG pipelines, and workflow automation.
reasoning
Multi-step reasoning — planning, quantitative analysis, and problems that need deliberation rather than recall.
vision
Image input — screenshots, scanned documents, charts, and photographed forms, without a separate OCR step.
Data handling
Requests are processed in the EU. Prompts are not used for training, and logs follow the retention period in your contract — zero-retention is available on request.
Specifications
Model
- Model ID
- google/gemini-2.5-pro
- Provider
- Context length
- 1.0M
- Max output
- 66K
- Modality
- text + image
- Licence
- Proprietary
Commercial
- Input
- $1.25
- Output
- $10.00
- Cached input
- $0.13
- Deployment
- serverless
- Availability
- operational
- Last updated
- 2026-10-26
Cost
What a month actually costs
| Workload | Input tokens | Output tokens | Monthly cost |
|---|---|---|---|
| Prototype | 1.0M | 250K | $3.75 |
| Production | 50.0M | 12.0M | $182.50 |
| At scale | 500.0M | 120.0M | $1,825 |
Illustrative volumes at list price, excluding cached-input discounts and any committed-use agreement. Your invoice shows the same rates, itemised per key.
Cheaper by caching
API
Same SDK, different base URL
cURL
curl https://api.itciphtech.com/v1/chat/completions \
-H "Authorization: Bearer $CIPHER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "google/gemini-2.5-pro",
"messages": [{"role": "user", "content": "Hello!"}]
}'TypeScript
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.itciphtech.com/v1",
apiKey: process.env.CIPHER_API_KEY,
});
const res = await client.chat.completions.create({
model: "google/gemini-2.5-pro",
messages: [{ role: "user", content: "Hello!" }],
});Alternatives
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Need this model on dedicated hardware?
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