Generate Content

POST/v1beta/models/{model}:{GenerateContentType}

Generate content using the Google Gemini-compatible request format.

Path Parameters

model:requiredstring

Model identifier used for this request.

Examplegemini-3.5-flash

GenerateContentType:requiredstring

Gemini-compatible generation action.

AllowedgenerateContentstreamGenerateContent

ExamplegenerateContent

Query Parameters

key:optionalstring

Optional request parameter.

Example{{key}}

Request Body

application/json

contents:requiredarray

Gemini-compatible content payload.

Response

200

A successful request returns a JSON response. The complete example is shown in the code panel.

Request ExamplePOST /v1beta/models/{model}:{GenerateContentType}

Request example

1curl --request POST \2  --url 'https://api.unifyllm.top/v1beta/models/gemini-3.5-flash:generateContent' \3  --header 'Authorization: Bearer <YOUR_API_KEY>' \4  --header 'Content-Type: application/json' \5  --data '{6  "contents": [7    {8      "parts": [9        {10          "text": "Write a story about a magic backpack."11        }12      ]13    }14  ]15}'

1const response = await fetch("https://api.unifyllm.top/v1beta/models/gemini-3.5-flash:generateContent", {2  method: "POST",3  headers: {4    "Authorization": "Bearer <YOUR_API_KEY>",5    "Content-Type": "application/json"6  },7  body: JSON.stringify({8    "contents": [9      {10        "parts": [11          {12            "text": "Write a story about a magic backpack."13          }14        ]15      }16    ]17  }),18});19 20const data = await response.json();21console.log(data);

1import requests2 3response = requests.post(4    "https://api.unifyllm.top/v1beta/models/gemini-3.5-flash:generateContent",5    headers={"Authorization": "Bearer <YOUR_API_KEY>"},6    json={7      "contents": [8        {9          "parts": [10            {11              "text": "Write a story about a magic backpack."12            }13          ]14        }15      ]16    }17)18response.raise_for_status()19print(response.json())

Request Body

1{2  "contents": [3    {4      "parts": [5        {6          "text": "Write a story about a magic backpack."7        }8      ]9    }10  ]11}

1curl --request POST \2  --url 'https://api.unifyllm.top/v1beta/models/gemini-3.5-flash:generateContent' \3  --header 'Authorization: Bearer <YOUR_API_KEY>' \4  --header 'Content-Type: application/json' \5  --data '{6  "contents": [7    {8      "parts": [9        {10          "inline_data": {11            "mime_type": "image/jpeg",12            "data": "<BASE64_DATA>"13          }14        },15        {16          "text": "Caption this image."17        }18      ]19    }20  ]21}'

1const response = await fetch("https://api.unifyllm.top/v1beta/models/gemini-3.5-flash:generateContent", {2  method: "POST",3  headers: {4    "Authorization": "Bearer <YOUR_API_KEY>",5    "Content-Type": "application/json"6  },7  body: JSON.stringify({8    "contents": [9      {10        "parts": [11          {12            "inline_data": {13              "mime_type": "image/jpeg",14              "data": "<BASE64_DATA>"15            }16          },17          {18            "text": "Caption this image."19          }20        ]21      }22    ]23  }),24});25 26const data = await response.json();27console.log(data);

1import requests2 3response = requests.post(4    "https://api.unifyllm.top/v1beta/models/gemini-3.5-flash:generateContent",5    headers={"Authorization": "Bearer <YOUR_API_KEY>"},6    json={7      "contents": [8        {9          "parts": [10            {11              "inline_data": {12                "mime_type": "image/jpeg",13                "data": "<BASE64_DATA>"14              }15            },16            {17              "text": "Caption this image."18            }19          ]20        }21      ]22    }23)24response.raise_for_status()25print(response.json())

Request Body

1{2  "contents": [3    {4      "parts": [5        {6          "inline_data": {7            "mime_type": "image/jpeg",8            "data": "<BASE64_DATA>"9          }10        },11        {12          "text": "Caption this image."13        }14      ]15    }16  ]17}

Response Example

200

1{2  "candidates": [3    {4      "content": {5        "parts": [6          {7            "text": "xxx",8            "thoughtSignature": "xxx"9          }10        ],11        "role": "model"12      },13      "finishReason": "STOP"14    }15  ],16  "modelVersion": "gemini-3.5-flash",17  "responseId": "Qf9VavfVA9DVz7IP-NjW6AY",18  "usageMetadata": {19    "candidatesTokenCount": 1978,20    "promptTokenCount": 9,21    "thoughtsTokenCount": 1339,22    "totalTokenCount": 332623  }24}