Scene illustration, not an output of this model
Model:
Price: 1.05 credits per 1K input tokens · ≈ $0.0005 · 3.15 credits per 1K output tokens · ≈ $0.0016High stability with detailed usage records on the APIAny platform.
Prompt preset — no generated result yet
Sampling temperature.
Output budget includes reasoning and final answer tokens.
Optional reasoning effort. Leave unset to use the model default. Higher effort can use more tokens and time.
USD estimate ≈ $0.052: $999 tier: $1 = 2,000 credits.
History
Saved locally in this browser
0 running · 0 completed
Input
≈ $0.0005
Output
≈ $0.0016
Cache
≈ $0.000018
Context
Max output
Authentication
Every request needs a Bearer token in the Authorization header. Create an API key in the console.
Authorization: Bearer YOUR_API_KEYhttps://apiany.ai/v1/chat/completionsRequest parameters
| Parameter | Type | Required | Notes |
|---|---|---|---|
model | string | Required | Model identifier to invoke. Use this model's ID. |
messages | array | Required | Conversation history in OpenAI chat format (role + content). |
stream | boolean | Optional | When true, the response streams back as server-sent events. |
Request example
curl "https://apiany.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek-v4-flash",
"messages": [
{
"role": "user",
"content": "Prioritize replenishment from this fictional inventory. SKU A: stock 12, average daily sales 4, lead time 5 days. SKU B: stock 30, sales 3/day, lead time 2 days. SKU C: stock 4, sales 2/day, lead time 4 days. Assume steady demand, no incoming stock and no safety stock. Compute days of cover, identify lead-time shortfalls and explain the ordering priority in a short table."
}
],
"temperature": 1,
"max_tokens": 32768,
"reasoning_effort": "high"
}'Response example
{
"id": "chatcmpl-abc123",
"object": "chat.completion",
"model": "deepseek-v4-flash",
"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
}
}
