AllocateGemini 3.1 Pro vs Inkling
On provider list prices, Inkling costs $1.87 per million input tokens against $2 for Gemini 3.1 Pro: 1.1x apart. Output is $4.68 against $12 (2.6x). On Allocate both bill at list plus the 7% transaction fee.
Gemini 3.1 Pro
InklingSpecifications 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 $3,882 a month on Inkling and $6,600 on Gemini 3.1 Pro at list: a gap of $2,718, or 1.7x.
Choose Gemini 3.1 Pro for
- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash
Choose Inkling for
- The lower list price ($1.87 in / $4.68 out per M tokens)
- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (Apache 2.0)
Common questions
Which is cheaper, Gemini 3.1 Pro or Inkling?
Inkling, on this workload shape. At list prices it is $1.87/$4.68 per million tokens in and out against $2/$12 for Gemini 3.1 Pro. Billed on Allocate: $2.00/$5.01 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 3.1 Pro or Inkling?
Inkling publishes open weights (Apache 2.0) and can be fine-tuned on your own data. Gemini 3.1 Pro is a closed model served over API; its weights are not available.
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.