ドキュメント/LLM

Gemini 3.7 Flash

1.05M contextプロンプトキャッシュ思考

POSThttps://api.foxwire.ai/v1/chat/completions

#Pricing Summary

Input Tokens

255 ₽ per 1M tokens. Corresponds to all context prompt tokens sent.

Output Tokens

1 275 ₽ per 1M tokens. Corresponds to content generated by the model.

Cache Read

25,5 ₽ per 1M tokens. Up to 90% savings when hitting the prompt cache.

#リクエスト例

Execute completions using standard OpenAI SDK formats by pointing base endpoints here.

bash

curl https://api.foxwire.ai/v1/chat/completions \
  -H "Authorization: Bearer $CORRY_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gemini-3.7-flash",
    "messages": [{"role": "user", "content": "Hello"}]
  }'

#レスポンス例

標準の OpenAI 互換チャット補完オブジェクトです。model フィールドはリクエストした名前に正規化されます。

json

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "model": "gemini-3.7-flash",
  "choices": [
    {
      "index": 0,
      "message": { "role": "assistant", "content": "Hello! How can I help you today?" },
      "finish_reason": "stop"
    }
  ],
  "usage": { "prompt_tokens": 12, "completion_tokens": 9, "total_tokens": 21, "cost": 0.000234, "currency": "USD" }
}

Cost field

usage.cost is the amount charged for this call (in USD); in streaming it arrives on the final chunk that carries usage. OpenAI SDKs ignore this extra field.

#プロンプトキャッシュ

This model uses automatic (implicit) caching — repeated prompt prefixes are cached upstream automatically and billed at a lower rate, with no parameters needed (no cache_control). Keep long, stable context (system prompt, tools) at the start of your messages to get hits.

Automatic — nothing to do

Cache hits show up in the returned usage (cached tokens) and your cost drops automatically.

#思考

対応モデルでは reasoning_effort(low / medium / high)を追加します。思考内容はレスポンスの reasoning_content フィールドで返されます。思考トークンは出力レートで課金されます。

json

{
  "model": "gemini-3.7-flash",
  "max_tokens": 2048,
  "reasoning_effort": "high",
  "messages": [{ "role": "user", "content": "your question" }]
}