AllocateGemini 3.5 Flash vs GPT-5.5
On provider list prices, Gemini 3.5 Flash costs $1.50 per million input tokens against $5 for GPT-5.5: 3.3x apart. Output is $9 against $30 (3.3x).
Gemini 3.5 Flash
GPT-5.5Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.
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 $16,500 on GPT-5.5 at list: a gap of $11,550, or 3.3x.
Gemini 3.5 Flash 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 3.5 Flash for
- High-volume support and triage
- Document extraction at scale
- Vision and OCR pipelines
Common questions
Which is cheaper, Gemini 3.5 Flash or GPT-5.5?
Gemini 3.5 Flash, on this workload shape. At list prices it is $1.50/$9 per million tokens in and out against $5/$30 for GPT-5.5. Billed on Allocate: $1.60/$9.63 against $5.35/$32.10.
Which has the bigger context window?
Gemini 3.5 Flash: 1,000,000 tokens (1M) against 400,000 (400K) for GPT-5.5.
Can I fine-tune Gemini 3.5 Flash 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.