Gemini 3.6 Flash

This page is generated from the upstream official OpenAPI documentation. Endpoints, parameters and examples match the official docs; brand and API domain are replaced with ModelFold.

Endpoint

POST /gemini/v1/models/gemini-3-6-flash:streamGenerateContent

Full URL: https://ai.modelfold.online/gemini/v1/models/gemini-3-6-flash:streamGenerateContent

Authentication: every request must include the Authorization: Bearer <API_KEY> header.

WARNING

⚠️ Chat only

This model currently supports chat requests only and has not yet been adapted for agent use. Connecting it to an agent may cause request errors or unexpected results.

Streaming Support

The Gemini endpoint returns streaming chunks from streamGenerateContent. Function calling responses appear in candidates[].content.parts[].functionCall.

Streaming Response Format:

• Content-Type: text/event-stream. The last data chunk carries usageMetadata and credits_consumed, followed by data: [DONE].
• Function calls are returned inside parts[].functionCall
• Thinking output may be reflected through thoughtSignature and usage metadata

Features

• Standard chat with contents.
• Google Search grounding with googleSearch.
• Function calling with functionDeclarations.
• Thinking configuration with generationConfig.thinkingConfig.

Request Notes

• Use contents as the primary conversation input.
• Use tools.googleSearch to enable Google Search grounding.
• Use tools.functionDeclarations to define callable functions.
• Use generationConfig.thinkingConfig to control thoughts output and thinking level.

Authentication

Authentication: send your ModelFold API key as Authorization: Bearer YOUR_API_KEY.

Error Responses

Errors are returned with HTTP 200 and a JSON body {"code": <int>, "msg": "<reason>"}. Check code (200 = success) before reading choices/candidates.

Request Parameters

Body (application/json)

Parameter	Type	Required	Description
contents	array<object>	Yes	Conversation input for Gemini.
contents[].role	string	Yes	Content role. Allowed values：user / model。 示例：user。
contents[].parts	`array<object	object	object>`
tools	`array<object	object>`	No
generationConfig	object	No	Generation configuration.
generationConfig.thinkingConfig	object	No	Thinking configuration.
generationConfig.thinkingConfig.includeThoughts	boolean	No	Whether to include thought output. 示例：true。
generationConfig.thinkingConfig.thinkingLevel	string	No	Thinking level. Allowed values：low / high。 示例：high。
stream	boolean	No	If set to true, the response is returned as stream chunks. Default：true。 示例：true。

Request Example

curl -X POST "https://ai.modelfold.online/gemini/v1/models/gemini-3-6-flash:streamGenerateContent" \
  -H "Authorization: Bearer $MODELFOLD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "stream": true,
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "What is the weather in Beijing today?"
        }
      ]
    }
  ],
  "tools": [
    {
      "functionDeclarations": [
        {
          "name": "get_weather_forecast",
          "description": "Get the weather forecast for a given location",
          "parameters": {
            "type": "OBJECT",
            "properties": {
              "location": {
                "type": "STRING",
                "description": "The city name, e.g. Beijing"
              }
            },
            "required": [
              "location"
            ]
          }
        }
      ]
    }
  ],
  "generationConfig": {
    "thinkingConfig": {
      "includeThoughts": true,
      "thinkingLevel": "high"
    }
  }
}'

{
  "stream": true,
  "contents": [
    {
      "role": "user",
      "parts": [
        {
          "text": "What is the weather in Beijing today?"
        }
      ]
    }
  ],
  "tools": [
    {
      "functionDeclarations": [
        {
          "name": "get_weather_forecast",
          "description": "Get the weather forecast for a given location",
          "parameters": {
            "type": "OBJECT",
            "properties": {
              "location": {
                "type": "STRING",
                "description": "The city name, e.g. Beijing"
              }
            },
            "required": [
              "location"
            ]
          }
        }
      ]
    }
  ],
  "generationConfig": {
    "thinkingConfig": {
      "includeThoughts": true,
      "thinkingLevel": "high"
    }
  }
}

Response

200 — Request successful.

参数	类型	必填	说明
candidates	array<object>	否	Candidate results
candidates[].content	object	否	—
candidates[].content.role	string	否	示例：model。
candidates[].content.parts	array<object>	否	—
candidates[].content.parts[].functionCall	object	否	Function call payload
candidates[].content.parts[].thoughtSignature	string	否	Thought signature 示例：Es8CCswCAb4example。
candidates[].content.parts[].text	string	否	Text output
candidates[].finishReason	string	否	Candidate finish reason 示例：STOP。
modelVersion	string	否	Returned model version. May be absent. 示例：gemini-3-6-flash。
usageMetadata	object	否	Token usage metadata
usageMetadata.candidatesTokenCount	integer	否	示例：18。
usageMetadata.thinkingTokenCount	integer	否	示例：55。
usageMetadata.totalTokenCount	integer	否	示例：325。
usageMetadata.promptTokenCount	integer	否	示例：252。
credits_consumed	number	否	Credits consumed by the request 示例：0.01。

{
  "candidates": [
    {
      "content": {
        "role": "model",
        "parts": [
          {
            "functionCall": {
              "args": {
                "location": "Beijing"
              },
              "name": "get_weather_forecast",
              "id": "gp737npz"
            },
            "thoughtSignature": "Es8CCswCAb4example"
          }
        ]
      },
      "finishReason": "STOP"
    }
  ],
  "modelVersion": "gemini-3-6-flash",
  "usageMetadata": {
    "candidatesTokenCount": 18,
    "thinkingTokenCount": 55,
    "totalTokenCount": 325,
    "promptTokenCount": 252
  },
  "credits_consumed": 0.01
}