Gemini 3.6 Flash
APIGemini 3.6 Flash is a language model from Google with a 1M-token context window. Provider list price is $1.50 per million input tokens and $7.50 per million output; on Allocate you pay $1.60 and $8.03 with the 7% transaction fee. It is a closed model served over API; the weights are not published.
Pricing
Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-21.
Price against its peers
Provider list prices per M tokens, Gemini 3.6 Flash against its nearest language peers by price.
What a real workload costs
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $1.50 + 350 × $7.50 = $4,425 a month. Billed on Allocate it is $4,735 with the 7% transaction fee.
Gemini 3.6 Flash is served over API. Route traffic to it by name, meter every token, and swap it out in one click when a better fit ships.
Example usage
Point a route at google/gemini-3.6-flash and the endpoint never changes; swap the model behind it whenever you want.
curl https://api.allocate.network/v1/chat/completions \ -H "Authorization: Bearer $ALLOCATE_KEY" \ -d '{ "model": "google/gemini-3.6-flash", "messages": [{"role": "user", "content": "Summarise the attached contract."}] }'
Common questions
How much does Gemini 3.6 Flash cost per million tokens?
Provider list price is $1.50 per million input tokens and $7.50 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $1.60 in and $8.03 out.
What context window does Gemini 3.6 Flash have?
1,000,000 tokens (1M). At roughly 0.75 words per token, that is about 750k words of English text per request.
Can I fine-tune Gemini 3.6 Flash?
No. Gemini 3.6 Flash is a closed model served over API; the weights are not published. If you want a model you can train and own, start from an open-weights base in the catalog and fine-tune that.
How do I call Gemini 3.6 Flash on Allocate?
Send google/gemini-3.6-flash in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.