Model catalog

Gemini 3.5 Flash

API

Gemini 3.5 Flash is a language model from Google with a 1M-token context window. Provider list price is $1.50 per million input tokens and $9 per million output; on Allocate you pay $1.60 and $9.63. It is a closed model served over API; the weights are not published.

Pricing

Provider listOn Allocate
Input, per M tokens$1.50$1.60
Output, per M tokens$9$9.63

Prices checked 2026-07-21.

Price against its peers

Provider list prices per M tokens, Gemini 3.5 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 × $9 = $4,950 a month. Billed on Allocate it is $5,297.

Where it fits

Google’s workhorse: 1M tokens of context, vision built in, and a $1.50 per million input list price. The default choice for high-volume routes where cost per request decides the experience.

  • High-volume support and triage
  • Document extraction at scale
  • Vision and OCR pipelines

Gemini 3.5 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-3.5-flash and the endpoint never changes; swap the model behind it whenever you want.

api.allocate.network
curl https://api.allocate.network/v1/chat/completions \
  -H "Authorization: Bearer $ALLOCATE_KEY" \
  -d '{
    "model": "google/gemini-3.5-flash",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'
200 · google/gemini-3.5-flash · inside your boundary

Common questions

How much does Gemini 3.5 Flash cost per million tokens?

Provider list price is $1.50 per million input tokens and $9 per million output tokens. On Allocate you pay $1.60 in and $9.63 out.

What context window does Gemini 3.5 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 3.5 Flash?

No. Gemini 3.5 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 3.5 Flash on Allocate?

Send google/gemini-3.5-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.

Compare against