Google: gemini-2.5-pro
gemini-2.5-pro
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gemini-2.5-pro is a multimodal large language model from Google’s Gemini family, positioned as a high-end “Pro” tier for general-purpose AI applications. It is designed to handle text, code, and images with strong reasoning, tool-use, and coding capabilities, while offering a balance between the largest Gemini Ultra–style models and lighter, latency‑optimized variants. This model targets professional and enterprise workloads such as software development assistance, data analysis, content generation, and agentic workflows, where reliability and breadth of capability matter more than absolute minimal cost. It is typically exposed via Google’s AI Studio, Vertex AI, and partner platforms as a versatile default choice for complex, production-grade use cases.
Pricing
Current price per 1,000,000 tokens. Every request is billed automatically from its exact usage.
Included in plans
Statistics
Live performance and usage of this model, aggregated across all users.
Detailed statistics appear here as soon as this model starts receiving requests.
API
Call this model from any OpenAI-compatible client using your API token.
curl https://apiex.cloud/api/v1/chat/completions \
-H "Authorization: Bearer $NEW_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-2.5-pro",
"messages": [
{
"role": "user",
"content": "Explain quantum entanglement in one paragraph."
}
],
"temperature": 0.7
}'Authentication
Every request must include an Authorization: Bearer <TOKEN> header. Generate a token from your account's API Keys page — its access to models is set automatically from your active plans and redeemed codes, and you can set its rate limit and IP restrictions.
| Parameter | Type | Description |
|---|---|---|
model | string, required | This model's ID, exactly as shown above. |
messages | array, required | Conversation history as role/content objects (system, user, assistant). |
temperature | number, optional | Sampling randomness, typically 0–2. |
max_tokens | integer, optional | Upper limit on tokens generated in the reply. |
top_p | number, optional | Nucleus-sampling threshold, as an alternative to temperature. |
stream | boolean, ignored | Responses are always returned in full so the exact cost can be billed; streaming is not available. |
Replace YOUR_API_KEY with a token from your account, then see the full API reference for every parameter.
Frequently asked questions
What is gemini-2.5-pro?
gemini-2.5-pro is a multimodal large language model from Google’s Gemini family, positioned as a high-end “Pro” tier for general-purpose AI applications. It is designed to handle text, code, and images with strong reasoning, tool-use, and coding capabilities, while offering a balance between the largest Gemini Ultra–style models and lighter, latency‑optimized variants. This model targets professional and enterprise workloads such as software development assistance, data analysis, content generation, and agentic workflows, where reliability and breadth of capability matter more than absolute minimal cost. It is typically exposed via Google’s AI Studio, Vertex AI, and partner platforms as a versatile default choice for complex, production-grade use cases.
How much does gemini-2.5-pro cost?
Input tokens are priced at $1,50 per 1,000,000 tokens and output tokens at $12,00 per 1,000,000 tokens. Pricing is billed automatically per request; no separate plan is required.
What is the context length of gemini-2.5-pro?
gemini-2.5-pro supports a context window of up to 1,048,576 tokens.
Does gemini-2.5-pro support image input?
gemini-2.5-pro currently accepts text input only.
Which provider is gemini-2.5-pro from?
gemini-2.5-pro is developed by Google and made available on this gateway through our routing infrastructure.
When was gemini-2.5-pro added to this gateway?
gemini-2.5-pro has been available on this gateway since September 23, 2026.
Is gemini-2.5-pro currently available?
Yes, gemini-2.5-pro is active and can be used right now through this gateway.
