AllocateGemini 3.1 Pro vs GPT-5.5
On provider list prices, Gemini 3.1 Pro costs $2 per million input tokens against $5 for GPT-5.5: 2.5x apart. Output is $12 against $30 (2.5x). On Allocate both bill at list plus the 7% transaction fee.
Gemini 3.1 Pro
GPT-5.5Specifications 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 $6,600 a month on Gemini 3.1 Pro and $16,500 on GPT-5.5 at list: a gap of $9,900, or 2.5x.
Gemini 3.1 Pro reads 1M tokens per request against 400K for GPT-5.5, 2.5x the window. That decides which one can take whole documents without splitting them.
Choose Gemini 3.1 Pro for
- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash
Common questions
Which is cheaper, Gemini 3.1 Pro or GPT-5.5?
Gemini 3.1 Pro, on this workload shape. At list prices it is $2/$12 per million tokens in and out against $5/$30 for GPT-5.5. Billed on Allocate: $2.14/$12.84 against $5.35/$32.10, list plus 7%.
Which has the bigger context window?
Gemini 3.1 Pro: 1,000,000 tokens (1M) against 400,000 (400K) for GPT-5.5.
Can I fine-tune Gemini 3.1 Pro or GPT-5.5?
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.