Chat Completion
curl --request POST \
--url https://www.anyfast.ai/v1/chat/completions \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "MiniMax-M3",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"service_tier": "standard",
"thinking": {
"type": "adaptive"
},
"reasoning_split": true,
"stream": false,
"stream_options": {
"include_usage": false
},
"max_completion_tokens": 2048,
"max_tokens": 2,
"temperature": 1,
"top_p": 0.95,
"tools": [
{
"type": "function",
"function": {
"name": "<string>",
"parameters": {},
"description": "<string>"
}
}
]
}
'import requests
url = "https://www.anyfast.ai/v1/chat/completions"
payload = {
"model": "MiniMax-M3",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"service_tier": "standard",
"thinking": { "type": "adaptive" },
"reasoning_split": True,
"stream": False,
"stream_options": { "include_usage": False },
"max_completion_tokens": 2048,
"max_tokens": 2,
"temperature": 1,
"top_p": 0.95,
"tools": [
{
"type": "function",
"function": {
"name": "<string>",
"parameters": {},
"description": "<string>"
}
}
]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'MiniMax-M3',
messages: [{role: 'user', content: 'Hello!'}],
service_tier: 'standard',
thinking: {type: 'adaptive'},
reasoning_split: true,
stream: false,
stream_options: {include_usage: false},
max_completion_tokens: 2048,
max_tokens: 2,
temperature: 1,
top_p: 0.95,
tools: [
{
type: 'function',
function: {name: '<string>', parameters: {}, description: '<string>'}
}
]
})
};
fetch('https://www.anyfast.ai/v1/chat/completions', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://www.anyfast.ai/v1/chat/completions",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'MiniMax-M3',
'messages' => [
[
'role' => 'user',
'content' => 'Hello!'
]
],
'service_tier' => 'standard',
'thinking' => [
'type' => 'adaptive'
],
'reasoning_split' => true,
'stream' => false,
'stream_options' => [
'include_usage' => false
],
'max_completion_tokens' => 2048,
'max_tokens' => 2,
'temperature' => 1,
'top_p' => 0.95,
'tools' => [
[
'type' => 'function',
'function' => [
'name' => '<string>',
'parameters' => [
],
'description' => '<string>'
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://www.anyfast.ai/v1/chat/completions"
payload := strings.NewReader("{\n \"model\": \"MiniMax-M3\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"service_tier\": \"standard\",\n \"thinking\": {\n \"type\": \"adaptive\"\n },\n \"reasoning_split\": true,\n \"stream\": false,\n \"stream_options\": {\n \"include_usage\": false\n },\n \"max_completion_tokens\": 2048,\n \"max_tokens\": 2,\n \"temperature\": 1,\n \"top_p\": 0.95,\n \"tools\": [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"<string>\",\n \"parameters\": {},\n \"description\": \"<string>\"\n }\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://www.anyfast.ai/v1/chat/completions")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"MiniMax-M3\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"service_tier\": \"standard\",\n \"thinking\": {\n \"type\": \"adaptive\"\n },\n \"reasoning_split\": true,\n \"stream\": false,\n \"stream_options\": {\n \"include_usage\": false\n },\n \"max_completion_tokens\": 2048,\n \"max_tokens\": 2,\n \"temperature\": 1,\n \"top_p\": 0.95,\n \"tools\": [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"<string>\",\n \"parameters\": {},\n \"description\": \"<string>\"\n }\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://www.anyfast.ai/v1/chat/completions")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"MiniMax-M3\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"service_tier\": \"standard\",\n \"thinking\": {\n \"type\": \"adaptive\"\n },\n \"reasoning_split\": true,\n \"stream\": false,\n \"stream_options\": {\n \"include_usage\": false\n },\n \"max_completion_tokens\": 2048,\n \"max_tokens\": 2,\n \"temperature\": 1,\n \"top_p\": 0.95,\n \"tools\": [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"<string>\",\n \"parameters\": {},\n \"description\": \"<string>\"\n }\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": "066a33a7d290378f8a9e57a055812afa",
"choices": [
{
"index": 123,
"message": {
"role": "assistant",
"content": "<string>",
"reasoning_content": "<string>",
"reasoning_details": [
{
"type": "<string>",
"id": "<string>",
"format": "<string>",
"index": 123,
"text": "<string>"
}
],
"tool_calls": [
{
"id": "<string>",
"type": "function",
"function": {
"name": "<string>",
"arguments": "<string>"
}
}
]
},
"finish_reason": "stop"
}
],
"created": 123,
"model": "MiniMax-M3",
"object": "chat.completion",
"usage": {
"total_tokens": 123,
"total_characters": 123,
"prompt_tokens": 123,
"completion_tokens": 123,
"prompt_tokens_details": {
"cached_tokens": 123
}
},
"input_sensitive": true,
"input_sensitive_type": 123,
"output_sensitive": true,
"output_sensitive_type": 123,
"base_resp": {
"status_code": 123,
"status_msg": "<string>"
}
}{
"base_resp": {
"status_code": 123,
"status_msg": "<string>"
},
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"base_resp": {
"status_code": 123,
"status_msg": "<string>"
},
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"base_resp": {
"status_code": 123,
"status_msg": "<string>"
},
"error": {
"code": "<string>",
"message": "<string>"
}
}MiniMax
minimax-m3
Creates a model response for the given conversation. MiniMax-M3 supports text, image, video, tool calls, thinking, and streaming.
POST
/
v1
/
chat
/
completions
Chat Completion
curl --request POST \
--url https://www.anyfast.ai/v1/chat/completions \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data '
{
"model": "MiniMax-M3",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"service_tier": "standard",
"thinking": {
"type": "adaptive"
},
"reasoning_split": true,
"stream": false,
"stream_options": {
"include_usage": false
},
"max_completion_tokens": 2048,
"max_tokens": 2,
"temperature": 1,
"top_p": 0.95,
"tools": [
{
"type": "function",
"function": {
"name": "<string>",
"parameters": {},
"description": "<string>"
}
}
]
}
'import requests
url = "https://www.anyfast.ai/v1/chat/completions"
payload = {
"model": "MiniMax-M3",
"messages": [
{
"role": "user",
"content": "Hello!"
}
],
"service_tier": "standard",
"thinking": { "type": "adaptive" },
"reasoning_split": True,
"stream": False,
"stream_options": { "include_usage": False },
"max_completion_tokens": 2048,
"max_tokens": 2,
"temperature": 1,
"top_p": 0.95,
"tools": [
{
"type": "function",
"function": {
"name": "<string>",
"parameters": {},
"description": "<string>"
}
}
]
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)const options = {
method: 'POST',
headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
body: JSON.stringify({
model: 'MiniMax-M3',
messages: [{role: 'user', content: 'Hello!'}],
service_tier: 'standard',
thinking: {type: 'adaptive'},
reasoning_split: true,
stream: false,
stream_options: {include_usage: false},
max_completion_tokens: 2048,
max_tokens: 2,
temperature: 1,
top_p: 0.95,
tools: [
{
type: 'function',
function: {name: '<string>', parameters: {}, description: '<string>'}
}
]
})
};
fetch('https://www.anyfast.ai/v1/chat/completions', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://www.anyfast.ai/v1/chat/completions",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
CURLOPT_POSTFIELDS => json_encode([
'model' => 'MiniMax-M3',
'messages' => [
[
'role' => 'user',
'content' => 'Hello!'
]
],
'service_tier' => 'standard',
'thinking' => [
'type' => 'adaptive'
],
'reasoning_split' => true,
'stream' => false,
'stream_options' => [
'include_usage' => false
],
'max_completion_tokens' => 2048,
'max_tokens' => 2,
'temperature' => 1,
'top_p' => 0.95,
'tools' => [
[
'type' => 'function',
'function' => [
'name' => '<string>',
'parameters' => [
],
'description' => '<string>'
]
]
]
]),
CURLOPT_HTTPHEADER => [
"Authorization: Bearer <token>",
"Content-Type: application/json"
],
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"strings"
"net/http"
"io"
)
func main() {
url := "https://www.anyfast.ai/v1/chat/completions"
payload := strings.NewReader("{\n \"model\": \"MiniMax-M3\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"service_tier\": \"standard\",\n \"thinking\": {\n \"type\": \"adaptive\"\n },\n \"reasoning_split\": true,\n \"stream\": false,\n \"stream_options\": {\n \"include_usage\": false\n },\n \"max_completion_tokens\": 2048,\n \"max_tokens\": 2,\n \"temperature\": 1,\n \"top_p\": 0.95,\n \"tools\": [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"<string>\",\n \"parameters\": {},\n \"description\": \"<string>\"\n }\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>")
req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://www.anyfast.ai/v1/chat/completions")
.header("Authorization", "Bearer <token>")
.header("Content-Type", "application/json")
.body("{\n \"model\": \"MiniMax-M3\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"service_tier\": \"standard\",\n \"thinking\": {\n \"type\": \"adaptive\"\n },\n \"reasoning_split\": true,\n \"stream\": false,\n \"stream_options\": {\n \"include_usage\": false\n },\n \"max_completion_tokens\": 2048,\n \"max_tokens\": 2,\n \"temperature\": 1,\n \"top_p\": 0.95,\n \"tools\": [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"<string>\",\n \"parameters\": {},\n \"description\": \"<string>\"\n }\n }\n ]\n}")
.asString();require 'uri'
require 'net/http'
url = URI("https://www.anyfast.ai/v1/chat/completions")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n \"model\": \"MiniMax-M3\",\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"Hello!\"\n }\n ],\n \"service_tier\": \"standard\",\n \"thinking\": {\n \"type\": \"adaptive\"\n },\n \"reasoning_split\": true,\n \"stream\": false,\n \"stream_options\": {\n \"include_usage\": false\n },\n \"max_completion_tokens\": 2048,\n \"max_tokens\": 2,\n \"temperature\": 1,\n \"top_p\": 0.95,\n \"tools\": [\n {\n \"type\": \"function\",\n \"function\": {\n \"name\": \"<string>\",\n \"parameters\": {},\n \"description\": \"<string>\"\n }\n }\n ]\n}"
response = http.request(request)
puts response.read_body{
"id": "066a33a7d290378f8a9e57a055812afa",
"choices": [
{
"index": 123,
"message": {
"role": "assistant",
"content": "<string>",
"reasoning_content": "<string>",
"reasoning_details": [
{
"type": "<string>",
"id": "<string>",
"format": "<string>",
"index": 123,
"text": "<string>"
}
],
"tool_calls": [
{
"id": "<string>",
"type": "function",
"function": {
"name": "<string>",
"arguments": "<string>"
}
}
]
},
"finish_reason": "stop"
}
],
"created": 123,
"model": "MiniMax-M3",
"object": "chat.completion",
"usage": {
"total_tokens": 123,
"total_characters": 123,
"prompt_tokens": 123,
"completion_tokens": 123,
"prompt_tokens_details": {
"cached_tokens": 123
}
},
"input_sensitive": true,
"input_sensitive_type": 123,
"output_sensitive": true,
"output_sensitive_type": 123,
"base_resp": {
"status_code": 123,
"status_msg": "<string>"
}
}{
"base_resp": {
"status_code": 123,
"status_msg": "<string>"
},
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"base_resp": {
"status_code": 123,
"status_msg": "<string>"
},
"error": {
"code": "<string>",
"message": "<string>"
}
}{
"base_resp": {
"status_code": 123,
"status_msg": "<string>"
},
"error": {
"code": "<string>",
"message": "<string>"
}
}Authorizations
Bearer authentication header of the form Bearer <token>, where <token> is your auth token.
Body
application/json
Model ID.
Available options:
MiniMax-M3 Example:
"MiniMax-M3"
Conversation history. Message content can be text, image, video, or tool-call content.
Minimum array length:
1Show child attributes
Show child attributes
Example:
[{ "role": "user", "content": "Hello!" }]
Request admission tier. Priority access must be enabled for the account.
Available options:
standard, priority Controls MiniMax-M3 thinking. Omit to use adaptive thinking by default.
Show child attributes
Show child attributes
Separates reasoning into reasoning_content and reasoning_details. This does not enable or disable thinking.
If true, returns partial message deltas using Server-Sent Events.
Options for streaming responses.
Show child attributes
Show child attributes
Maximum generated tokens. For MiniMax-M3, 131072 is recommended and 524288 is the maximum.
Required range:
1 <= x <= 524288Example:
2048
Deprecated legacy generation limit. Use max_completion_tokens instead.
Required range:
x >= 1Sampling temperature.
Required range:
0 <= x <= 2Nucleus sampling parameter. MiniMax-M3 defaults to 0.95.
Required range:
0 <= x <= 1Function tool definitions for agentic workflows.
Show child attributes
Show child attributes
Response
Completion generated successfully.
- Option 1
- Option 2
Example:
"066a33a7d290378f8a9e57a055812afa"
Show child attributes
Show child attributes
Unix timestamp in seconds.
Example:
"MiniMax-M3"
Available options:
chat.completion Show child attributes
Show child attributes
Whether the input triggered sensitive-content detection.
Sensitive-content category returned when input_sensitive is true.
Whether the output triggered sensitive-content detection.
Sensitive-content category returned when output_sensitive is true.
Show child attributes
Show child attributes
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