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POST
/
chat
/
completions
Chat Completions
curl --request POST \
  --url https://api.aerspan.com/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "minimax/minimax-m2.1",
  "messages": [
    {
      "role": "user",
      "content": "What opportunities and challenges will the Chinese large model industry face in 2025?"
    }
  ],
  "stream": false,
  "max_tokens": 4096,
  "enable_thinking": false,
  "thinking_budget": 4096,
  "min_p": 0.05,
  "stop": null,
  "temperature": 0.7,
  "top_p": 0.7,
  "top_k": 50,
  "frequency_penalty": 0.5,
  "n": 1,
  "response_format": {
    "type": "text"
  },
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "<string>",
        "description": "<string>",
        "parameters": {},
        "strict": false
      }
    }
  ]
}
'
{
  "id": "<string>",
  "choices": [
    {
      "message": {
        "role": "assistant",
        "content": "<string>",
        "reasoning_content": "<string>",
        "tool_calls": [
          {
            "id": "<string>",
            "type": "function",
            "function": {
              "name": "<string>",
              "arguments": "<string>"
            }
          }
        ]
      }
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123
  },
  "created": 123,
  "model": "<string>",
  "object": "chat.completion"
}

Authorizations

​
Authorization
string
header
required

Use the following format for authentication: Bearer

Body

application/json
​
model
enum<string>
required

Corresponding Model Name. To better enhance service quality, we will make periodic changes to the models provided by this service, including but not limited to model on/offlining and adjustments to model service capabilities. We will notify you of such changes through appropriate means such as announcements or message pushes where feasible.

Available options:
minimax-m2.1,
deepseek-v3-0324,
deepseek-v3,
deepseek-v3.1,
deepseek-v3.2,
deepseek-r1,
deepseek-r1-0528,
glm-4.6,
glm-4.6v,
glm-4.7,
qwen3-coder-480b-a35b-instruct,
qwen3-235b-a22b-instruct-2507,
gpt-oss-120b,
gpt-oss-20b
Example:

"minimax/minimax-m2.1"

​
messages
object[]
required

A list of messages comprising the conversation so far.

Required array length: 1 - 10 elements
​
stream
boolean

If set, tokens are returned as Server-Sent Events as they are made available. Stream terminates with data: [DONE]

Example:

false

​
max_tokens
integer

The maximum number of tokens to generate. Ensure that input tokens + max_tokens do not exceed the model’s context window. As some services are still being updated, avoid setting max_tokens to the window’s upper bound; reserve ~10k tokens as buffer for input and system overhead. See Models(https://app.aerspan.com/models) for details.

Example:

4096

​
enable_thinking
boolean

Switches between thinking and non-thinking modes. Default is True. This field supports the following models:

- Qwen/Qwen3-8B
- Qwen/Qwen3-14B
- Qwen/Qwen3-32B
- wen/Qwen3-30B-A3B
- Qwen/Qwen3-235B-A22B
- tencent/Hunyuan-A13B-Instruct
- zai-org/GLM-4.6V
- zai-org/GLM-4.5V
- deepseek-ai/DeepSeek-V3.1
- deepseek-ai/DeepSeek-V3.1-Terminus
- deepseek-ai/DeepSeek-V3.2-Exp
- deepseek-ai/DeepSeek-V3.2

If you want to use the function call feature for deepseek-ai/DeepSeek-V3.1, you need to set enable_thinking to false.

Example:

false

​
thinking_budget
integer
default:4096

Maximum number of tokens for chain-of-thought output. This field applies to all Reasoning models.

Required range: 128 <= x <= 32768
Example:

4096

​
min_p
number<float>

Dynamic filtering threshold that adapts based on token probabilities.This field only applies to Qwen3.

Required range: 0 <= x <= 1
Example:

0.05

​
stop

Up to 4 sequences where the API will stop generating further tokens. The returned text will not contain the stop sequence.

Example:

null

​
temperature
number<float>

Determines the degree of randomness in the response.

Example:

0.7

​
top_p
number<float>
default:0.7

The top_p (nucleus) parameter is used to dynamically adjust the number of choices for each predicted token based on the cumulative probabilities.

Example:

0.7

​
top_k
number<float>
Example:

50

​
frequency_penalty
number<float>
Example:

0.5

​
n
integer

Number of generations to return

Example:

1

​
response_format
object

An object specifying the format that the model must output.

​
tools
object[]

A list of tools the model may call. Currently, only functions are supported as a tool. Use this to provide a list of functions the model may generate JSON inputs for. A max of 128 functions are supported.

Response

200

​
id
string
​
choices
object[]
​
usage
object
​
created
integer
​
model
string
​
object
enum<string>
Available options:
chat.completion