
场景示意图,并非该模型生成结果
模型:
价格: 7 credits per 1K input tokens · ≈ $0.0035 · 60 credits per 1K output tokens · ≈ $0.03稳定性高,并在 APIAny 平台提供详细的使用记录。
提示词预设,尚无生成结果
Sampling temperature.
Maximum output tokens.
Reasoning is always on for this model; effort selects depth.
Summary mode for reasoning output when supported.
Controls output detail for Responses API requests.
美元估算 ≈ $0.123:$999 档换算:1 美元 = 2,000 积分。

历史记录
保存在此浏览器本地
0 个运行中 · 0 个已完成
输入
≈ $0.0035
输出
≈ $0.03
缓存读取
≈ $0.0005
上下文
最大输出
鉴权
每个请求都需要在 Authorization 头中携带 Bearer 令牌。请在控制台创建 API Key。
Authorization: Bearer YOUR_API_KEYhttps://apiany.ai/v1/chat/completions请求参数
| 参数 | 类型 | 必填 | 说明 |
|---|---|---|---|
model | 字符串 | 必填 | 要调用的模型标识,使用该模型的 ID。 |
messages | 数组 | 必填 | OpenAI 对话格式的消息历史(role + content)。 |
stream | 布尔值 | 可选 | 为 true 时,响应将以 SSE 流式返回。 |
请求示例
curl "https://apiany.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gpt-6-astra",
"messages": [
{
"role": "user",
"content": "Analyze this fictional single-process JavaScript queue with two overlapping calls. let busy=false; const queue=['A','B']; async function take(){ if(busy || !queue.length) return; await Promise.resolve(); busy=true; const job=queue.shift(); try { await send(job); } finally { busy=false; } }. send(job) is async and must never overlap. Explain an interleaving that violates this rule, give the smallest safe fix, and describe a deterministic test. Do not redesign it into a distributed queue."
}
],
"temperature": 0.7,
"max_tokens": 4096,
"reasoning": {
"summary": "auto"
},
"text": {
"verbosity": "medium"
}
}'响应示例
{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"model": "gpt-6-astra",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "Hello! How can I help?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 12,
"completion_tokens": 18,
"total_tokens": 30
}
}