视觉理解非流式

Vision Non-Stream

POST https://api.apizt.com/v1/chat/completions 在线调试 →

示例使用 gpt-6.1-sol。Chat 使用 reasoning_effort,仅接受 low/medium/high/xhigh/max;不要传 none 或 minimal。工具调用请改用 Responses 函数调用。

▼ Authorization

在 Header 添加参数 Authorization,其值为 Bearer 之后拼接 Token

示例: Authorization: Bearer ********************

请求参数

Header 参数
Content-Type string
必需
示例: application/json
Authorization string
必需
示例: Bearer $OPENAI_API_KEY
Body 参数application/json
modelstring必需
示例:gpt-6.1-sol
messagesarray必需
结构见完整 JSON 示例。
reasoning_effortstring可选
示例:low

请求示例代码

curl --fail-with-body --request POST 'https://api.apizt.com/v1/chat/completions' \
  --header "Authorization: Bearer ${tokenba_API_KEY}" \
  --header 'Content-Type: application/json' \
  --data-raw '{
  "model": "gpt-6.1-sol",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "这张图片里有什么?请详细描述。"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://example.com/image.png"
          }
        }
      ]
    }
  ],
  "reasoning_effort": "low"
}'
async function main() {
  const headers = { Authorization: "Bearer " + process.env.tokenba_API_KEY };
  headers["Content-Type"] = "application/json";
  const body = JSON.stringify({
  "model": "gpt-6.1-sol",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "这张图片里有什么?请详细描述。"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://example.com/image.png"
          }
        }
      ]
    }
  ],
  "reasoning_effort": "low"
});
  const response = await fetch("https://api.apizt.com/v1/chat/completions", { method: "POST", headers, body });
  const result = await response.text();
  if (!response.ok) throw new Error("HTTP " + response.status + ": " + result);
  console.log(result);
}
main().catch(console.error);
import okhttp3.*;
import java.io.File;

class Example {
  public static void main(String[] args) throws Exception {
    OkHttpClient client = new OkHttpClient();
    RequestBody body = RequestBody.create(MediaType.parse("application/json"), "{\n  \"model\": \"gpt-6.1-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"这张图片里有什么?请详细描述。\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.png\"\n          }\n        }\n      ]\n    }\n  ],\n  \"reasoning_effort\": \"low\"\n}");
    Request.Builder request = new Request.Builder().url("https://api.apizt.com/v1/chat/completions").header("Authorization", "Bearer " + System.getenv("tokenba_API_KEY"));
    request.method("POST", body);
    try (Response response = client.newCall(request.build()).execute()) {
      if (!response.isSuccessful()) throw new Exception("HTTP " + response.code());
      System.out.println(response.body().string());
    }
  }
}
import Foundation

var request = URLRequest(url: URL(string: "https://api.apizt.com/v1/chat/completions")!)
request.httpMethod = "POST"
request.setValue("Bearer " + ProcessInfo.processInfo.environment["tokenba_API_KEY"]!, forHTTPHeaderField: "Authorization")
request.setValue("application/json", forHTTPHeaderField: "Content-Type")
request.httpBody = "{\n  \"model\": \"gpt-6.1-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"这张图片里有什么?请详细描述。\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.png\"\n          }\n        }\n      ]\n    }\n  ],\n  \"reasoning_effort\": \"low\"\n}".data(using: .utf8)
let (data, response) = try await URLSession.shared.data(for: request)
print((response as? HTTPURLResponse)?.statusCode ?? 0)
print(String(data: data, encoding: .utf8) ?? "")
package main

import (
  "bytes"
  "fmt"
  "io"
  "net/http"
  "os"
)

func main() {
  req, err := http.NewRequest("POST", "https://api.apizt.com/v1/chat/completions", bytes.NewBufferString("{\n  \"model\": \"gpt-6.1-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"这张图片里有什么?请详细描述。\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.png\"\n          }\n        }\n      ]\n    }\n  ],\n  \"reasoning_effort\": \"low\"\n}"))
  _ = bytes.MinRead
  if err != nil { panic(err) }
  req.Header.Set("Authorization", "Bearer " + os.Getenv("tokenba_API_KEY"))
  req.Header.Set("Content-Type", "application/json")
  resp, err := http.DefaultClient.Do(req)
  if err != nil { panic(err) }; defer resp.Body.Close()
  data, err := io.ReadAll(resp.Body)
  if err != nil { panic(err) }
  fmt.Println(resp.Status, string(data))
}
<?php
$headers = ["Authorization: Bearer " . getenv("tokenba_API_KEY")];
$headers[] = "Content-Type: application/json";
$body = <<<'JSON'
{
  "model": "gpt-6.1-sol",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "这张图片里有什么?请详细描述。"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://example.com/image.png"
          }
        }
      ]
    }
  ],
  "reasoning_effort": "low"
}
JSON;
$curl = curl_init('https://api.apizt.com/v1/chat/completions');
curl_setopt_array($curl, [CURLOPT_CUSTOMREQUEST => 'POST', CURLOPT_HTTPHEADER => $headers, CURLOPT_RETURNTRANSFER => true, CURLOPT_POSTFIELDS => $body]);
$result = curl_exec($curl);
if ($result === false) throw new Exception(curl_error($curl));
echo $result;
curl_close($curl);
import os
import requests

headers = {"Authorization": "Bearer " + os.environ["tokenba_API_KEY"]}
payload = {'model': 'gpt-6.1-sol',
 'messages': [{'role': 'system', 'content': 'You are a helpful assistant.'},
              {'role': 'user',
               'content': [{'type': 'text', 'text': '这张图片里有什么?请详细描述。'},
                           {'type': 'image_url',
                            'image_url': {'url': 'https://example.com/image.png'}}]}],
 'reasoning_effort': 'low'}
response = requests.request('POST', 'https://api.apizt.com/v1/chat/completions', headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.text)
POST /v1/chat/completions HTTP/1.1
Host: api.apizt.com
Authorization: Bearer YOUR_tokenba_API_KEY
Content-Type: application/json

{
  "model": "gpt-6.1-sol",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "这张图片里有什么?请详细描述。"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://example.com/image.png"
          }
        }
      ]
    }
  ],
  "reasoning_effort": "low"
}
#include <curl/curl.h>
#include <stdlib.h>
#include <stdio.h>

int main(void) {
  curl_global_init(CURL_GLOBAL_DEFAULT);
  CURL *curl = curl_easy_init();
  if (!curl) return 1;
  char auth[4096];
  snprintf(auth, sizeof(auth), "Authorization: Bearer %s", getenv("tokenba_API_KEY"));
  struct curl_slist *headers = curl_slist_append(NULL, auth);
  headers = curl_slist_append(headers, "Content-Type: application/json");
  curl_easy_setopt(curl, CURLOPT_POSTFIELDS, "{\n  \"model\": \"gpt-6.1-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"这张图片里有什么?请详细描述。\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.png\"\n          }\n        }\n      ]\n    }\n  ],\n  \"reasoning_effort\": \"low\"\n}");
  curl_easy_setopt(curl, CURLOPT_URL, "https://api.apizt.com/v1/chat/completions");
  curl_easy_setopt(curl, CURLOPT_CUSTOMREQUEST, "POST");
  curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
  CURLcode result = curl_easy_perform(curl);
  curl_slist_free_all(headers); curl_easy_cleanup(curl); curl_global_cleanup();
  return result == CURLE_OK ? 0 : 1;
}
using System;
using System.IO;
using System.Net.Http;
using System.Net.Http.Headers;
using System.Text;

using var client = new HttpClient();
using var request = new HttpRequestMessage(new HttpMethod("POST"), "https://api.apizt.com/v1/chat/completions");
request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", Environment.GetEnvironmentVariable("tokenba_API_KEY"));
request.Content = new StringContent("{\n  \"model\": \"gpt-6.1-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"这张图片里有什么?请详细描述。\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.png\"\n          }\n        }\n      ]\n    }\n  ],\n  \"reasoning_effort\": \"low\"\n}", Encoding.UTF8, "application/json");
using var response = await client.SendAsync(request);
response.EnsureSuccessStatusCode();
Console.WriteLine(await response.Content.ReadAsStringAsync());
#import <Foundation/Foundation.h>

int main(void) {
@autoreleasepool {
dispatch_semaphore_t done = dispatch_semaphore_create(0);
NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:[NSURL URLWithString:@"https://api.apizt.com/v1/chat/completions"]];
request.HTTPMethod = @"POST";
NSDictionary *env = [[NSProcessInfo processInfo] environment];
[request setValue:[@"Bearer " stringByAppendingString:env[@"tokenba_API_KEY"]] forHTTPHeaderField:@"Authorization"];
[request setValue:@"application/json" forHTTPHeaderField:@"Content-Type"];
request.HTTPBody = [@"{\n  \"model\": \"gpt-6.1-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"这张图片里有什么?请详细描述。\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.png\"\n          }\n        }\n      ]\n    }\n  ],\n  \"reasoning_effort\": \"low\"\n}" dataUsingEncoding:NSUTF8StringEncoding];
[[[NSURLSession sharedSession] dataTaskWithRequest:request completionHandler:^(NSData *data, NSURLResponse *response, NSError *error) {
  if (error) { NSLog(@"%@", error); dispatch_semaphore_signal(done); return; }
  NSLog(@"%@", [[NSString alloc] initWithData:data encoding:NSUTF8StringEncoding]);
  dispatch_semaphore_signal(done);
}] resume];
dispatch_semaphore_wait(done, DISPATCH_TIME_FOREVER);
}
return 0;
}
require "net/http"
require "json"

uri = URI("https://api.apizt.com/v1/chat/completions")
request = Net::HTTPGenericRequest.new("POST", true, true, uri.request_uri)
request["Authorization"] = "Bearer " + ENV.fetch("tokenba_API_KEY")
request["Content-Type"] = "application/json"
request.body = "{\n  \"model\": \"gpt-6.1-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"这张图片里有什么?请详细描述。\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.png\"\n          }\n        }\n      ]\n    }\n  ],\n  \"reasoning_effort\": \"low\"\n}"
puts Net::HTTP.start(uri.host, uri.port, use_ssl: true) { |http| http.request(request).body }
open Lwt.Infix

let () =
  let headers = Cohttp.Header.init_with "Authorization" ("Bearer " ^ Sys.getenv "tokenba_API_KEY") in
  let data = {|{
  "model": "gpt-6.1-sol",
  "messages": [
    {
      "role": "system",
      "content": "You are a helpful assistant."
    },
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "这张图片里有什么?请详细描述。"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "https://example.com/image.png"
          }
        }
      ]
    }
  ],
  "reasoning_effort": "low"
}|} in
  let headers = Cohttp.Header.add headers "Content-Type" "application/json" in
  Lwt_main.run (
    Cohttp_lwt_unix.Client.call ~headers ~body:(Cohttp_lwt.Body.of_string data) `POST (Uri.of_string "https://api.apizt.com/v1/chat/completions") >>= fun (_, body) ->
    Cohttp_lwt.Body.to_string body >|= print_endline
  )
import "dart:io";
import "package:http/http.dart" as http;

Future<void> main() async {
  final headers = {"Authorization": "Bearer ${Platform.environment['tokenba_API_KEY']}"};
  final request = http.Request("POST", Uri.parse("https://api.apizt.com/v1/chat/completions"));
  request.headers.addAll(headers);
  request.headers["Content-Type"] = "application/json";
  request.body = "{\n  \"model\": \"gpt-6.1-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"这张图片里有什么?请详细描述。\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.png\"\n          }\n        }\n      ]\n    }\n  ],\n  \"reasoning_effort\": \"low\"\n}";
  final response = await request.send();
  print(response.statusCode);
  print(await response.stream.bytesToString());
}
library(httr)

headers <- c(Authorization = paste("Bearer", Sys.getenv("tokenba_API_KEY")))
headers["Content-Type"] <- "application/json"
body <- "{\n  \"model\": \"gpt-6.1-sol\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"You are a helpful assistant.\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"这张图片里有什么?请详细描述。\"\n        },\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.png\"\n          }\n        }\n      ]\n    }\n  ],\n  \"reasoning_effort\": \"low\"\n}"
response <- VERB("POST", "https://api.apizt.com/v1/chat/completions", add_headers(.headers = headers), body = body)
stop_for_status(response)
cat(content(response, "text", encoding = "UTF-8"))

返回响应

Chat Completions 文本位于 choices[].message.content。以下为结构示例,不代表实际调用结果。

{
  "id": "chatcmpl_demo",
  "object": "chat.completion",
  "model": "gpt-6.1-sol",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "你好"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 8,
    "total_tokens": 18
  }
}

示例先设置 tokenba_API_KEY。JavaScript 使用 Node.js 20+,Python 安装 requests。流式示例的 Python 与 JavaScript 会逐段输出事件数据。代码中的 ID、文件名与令牌须替换为自己的值。

GPT-6.1 Sol 的 Chat 请求使用 reasoning_effort,Responses 使用 reasoning.effort;等级为 low、medium、high、xhigh、max。工具调用使用 Responses。官方型号说明。

当前模型与版本

依据 apizt 价格页,同步于 。以下型号按目录声明的协议与本页用途筛选;不代表所有参数和功能通用。切换前请核对型号说明、令牌分组与参数差异。Gemini 原生接口需同时替换 URL 中的模型 ID。

模型 ID能力标签支持分组
gpt-6.1-sol对话,工具,识图,思考
分组(9)

Azure-Gpt-2、Azure-Gpt-3、Azure-Gpt-4、Azure-Gpt-5、Codex-Gpt-1、Codex-Gpt-2、Codex-Gpt-3、Openai-Gpt-1、Openai-Gpt-2

gpt-6-astra对话,工具,识图,思考
分组(10)

Azure-Gpt-2、Azure-Gpt-3、Azure-Gpt-4、Azure-Gpt-5、Azure-Gpt-6、Codex-Gpt-1、Codex-Gpt-2、Codex-Gpt-3、Openai-Gpt-1、Openai-Gpt-2

gpt-6-sol对话,工具,识图,思考
分组(10)

Azure-Gpt-2、Azure-Gpt-3、Azure-Gpt-4、Azure-Gpt-5、Azure-Gpt-6、Codex-Gpt-1、Codex-Gpt-2、Codex-Gpt-3、Openai-Gpt-1、Openai-Gpt-2

gpt-6-luna对话,工具,识图,思考
分组(10)

Azure-Gpt-2、Azure-Gpt-3、Azure-Gpt-4、Azure-Gpt-5、Azure-Gpt-6、Codex-Gpt-1、Codex-Gpt-2、Codex-Gpt-3、Openai-Gpt-1、Openai-Gpt-2

claude-sonnet-5-5对话,识图,工具
分组(6)

AWS-Bedrock-2、AWS-Claude-2、AWS-Claude-3、Claude-Code-1、Claude-Code-2、Kiro-Claude-1

claude-opus-5-5对话,工具,识图
分组(6)

AWS-Bedrock-2、AWS-Claude-2、AWS-Claude-3、Claude-Code-1、Claude-Code-2、Kiro-Claude-1

claude-sonnet-5对话,识图,工具
分组(8)

AWS-Bedrock-2、AWS-Claude-2、AWS-Claude-3、Anthropic-Claude-1、Claude-Code-1、Claude-Code-2、Kiro-Claude-1、Vertex-Claude-1

claude-fable-5-1对话,识图,工具
分组(5)

AWS-Claude-2、AWS-Claude-3、Anthropic-Claude-1、Claude-Code-1、Claude-Code-2

共列入 220 个候选型号。查看完整模型、版本与接口目录。