Gemini 3.1 Pro
APIGemini 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
Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.
Price against its peers
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.
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."}] }'
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.