Gemini PRO

Gemini 1.5 Pro represents a significant leap in large language model technology, offering exceptional understanding and performance across different modalities and contexts.

~11.22s

~$0.017

Playground API

Pricing

~11.22s

~$0.017

API Format: Google Gemini

This model uses Google Gemini request/response format.

 1import requests
 2
 3url = "https://api.segmind.com/v1/gemini-1.5-pro"
 4
 5headers = {
 6    "Authorization": "Bearer YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "messages": {
12        "system_instruction": {
13            "parts": {
14                "text": "You are a helpful assistant."
15            }
16        },
17        "contents": [
18            {
19                "role": "user",
20                "parts": [
21                    {
22                        "text": "What's in this image?"
23                    },
24                    {
25                        "inlineData": {
26                            "mimeType": "image/jpeg",
27                            "data": "iVBORw0KGgoAAAANSUhEUgA..."
28                        }
29                    }
30                ]
31            }
32        ]
33    }
34}
35
36response = requests.post(url, json=data, headers=headers)
37print(response.json())

 1import requests
 2
 3url = "https://api.segmind.com/v1/gemini-1.5-pro"
 4
 5headers = {
 6    "Authorization": "Bearer YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "messages": {
12        "system_instruction": {
13            "parts": {
14                "text": "You are a helpful assistant."
15            }
16        },
17        "contents": [
18            {
19                "role": "user",
20                "parts": [
21                    {
22                        "text": "What's in this image?"
23                    },
24                    {
25                        "inlineData": {
26                            "mimeType": "image/jpeg",
27                            "data": "iVBORw0KGgoAAAANSUhEUgA..."
28                        }
29                    }
30                ]
31            }
32        ]
33    }
34}
35
36response = requests.post(url, json=data, headers=headers)
37print(response.json())

API Endpoint

POST https://api.segmind.com/v1/gemini-1.5-pro

Parameters

messagesrequired

object[]

Object containing contents array with role and parts. Parts can contain text or inlineData for images.

Array items:

rolerequired

string

Role of the message sender

Allowed values :

"user""model"

contentrequired

array

Array of parts (text or inlineData)

messages.system_instructionoptional

object

System instruction with parts containing text to guide model behavior.

partsoptional

object

textrequired

string

System instruction text

Response Format

{
  "candidates": [
    {
      "content": {
        "parts": [
          {
            "text": "I can see a beautiful sunset over the ocean with vibrant orange and pink hues in the sky."
          }
        ],
        "role": "model"
      },
      "finishReason": "STOP",
      "index": 0,
      "safetyRatings": []
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 56,
    "candidatesTokenCount": 31,
    "totalTokenCount": 87
  }
}

Image Input Format

Important: Google Gemini Format

Images should be base64 encoded in the inlineData.data field with mimeType specified

This model supports vision capabilities. You can include images in your requests.

Common Error Codes

The API returns standard HTTP status codes. Detailed error messages are provided in the response body.

400

Bad Request

Invalid message format or parameters

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions

404

Not Found

Model or endpoint not found

406

Insufficient Credits

Not enough credits to process request

429

Rate Limited

Too many requests

500

Server Error

Internal server error

502

Bad Gateway

Service temporarily unavailable

504

Timeout

Request timed out