Comparisons

Gemini 3.5 Flash vs Gemini 3.1 Pro

On provider list prices, Gemini 3.5 Flash costs $1.50 per million input tokens against $2 for Gemini 3.1 Pro: 1.3x apart. Output is $9 against $12 (1.3x). On Allocate both bill at list plus the 7% transaction fee.

Gemini 3.5 Flash Gemini 3.1 Pro
LabGoogleGoogle
AccessAPI onlyAPI only
Context window1M tokens1M tokens
List price, input$1.5 / M tokens$2 / M tokens
List price, output$9 / M tokens$12 / M tokens
Cached inputn/an/a
LicenseProprietary APIProprietary API
Fine-tunableNoNo

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $4,950 a month on Gemini 3.5 Flash and $6,600 on Gemini 3.1 Pro at list: a gap of $1,650, or 1.3x.

Gemini 3.5 Flash$1.50$9
Gemini 3.1 Pro$2$12
InputOutput

Choose Gemini 3.5 Flash for

  • High-volume support and triage
  • Document extraction at scale
  • Vision and OCR pipelines
Gemini 3.5 Flash details

Choose Gemini 3.1 Pro for

  • Judgment-heavy workflows
  • Long-context analysis
  • Escalation tier above Flash
Gemini 3.1 Pro details

Common questions

Which is cheaper, Gemini 3.5 Flash or Gemini 3.1 Pro?

Gemini 3.5 Flash, on this workload shape. At list prices it is $1.50/$9 per million tokens in and out against $2/$12 for Gemini 3.1 Pro. Billed on Allocate: $1.60/$9.63 against $2.14/$12.84, list plus 7%.

Which has the bigger context window?

They match: both read 1,000,000 tokens (1M) per request.

Can I fine-tune Gemini 3.5 Flash or Gemini 3.1 Pro?

No. Both are closed models served over API. If you want a model you can train and own, start from an open-weights base in the catalog.

Related comparisons

Run the numbers on your workload

Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.