Model catalog

Gemini 3.1 Pro

API

Gemini 3.1 Pro is a language model from Google with a 1M-token context window. Provider list price is $2 per million input tokens and $12 per million output; on Allocate you pay $2.14 and $12.84 with the 7% transaction fee. It is a closed model served over API; the weights are not published.

Pricing

Provider listOn Allocate
Input, per M tokens$2$2.14
Output, per M tokens$12$12.84

Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.

Price against its peers

GLM 5.1 FP4$1.40$4.40
GLM 5.2$1.40$4.40
Gemini 3.1 Pro$2$12
InputOutput

Provider list prices per M tokens, Gemini 3.1 Pro 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 × $2 + 350 × $12 = $6,600 a month. Billed on Allocate it is $7,062 with the 7% transaction fee.

Where it fits

Google’s flagship reasoner: 1M tokens of context at $2 per million input and $12 out. The step up from Flash for judgment-heavy routes that still need the big window.

  • Judgment-heavy workflows
  • Long-context analysis
  • Escalation tier above Flash

Gemini 3.1 Pro 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-3.1-pro 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-3.1-pro",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'
200 · google/gemini-3.1-pro · inside your boundary

Common questions

How much does Gemini 3.1 Pro cost per million tokens?

Provider list price is $2 per million input tokens and $12 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $2.14 in and $12.84 out.

What context window does Gemini 3.1 Pro 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 3.1 Pro?

No. Gemini 3.1 Pro 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 3.1 Pro on Allocate?

Send google/gemini-3.1-pro 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