AllocateGPT-5.5 vs Inkling
On provider list prices, Inkling costs $1.87 per million input tokens against $5 for GPT-5.5: 2.7x apart. Output is $4.68 against $30 (6.4x). On Allocate both bill at list plus the 7% transaction fee.
GPT-5.5
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 $16,500 on GPT-5.5 at list: a gap of $12,618, or 4.3x.
Inkling 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 Inkling for
- The lower list price ($1.87 in / $4.68 out per M tokens)
- The longer context window (1M vs 400K tokens)
- Open weights you can fine-tune and own
Common questions
Which is cheaper, GPT-5.5 or Inkling?
Inkling, on this workload shape. At list prices it is $1.87/$4.68 per million tokens in and out against $5/$30 for GPT-5.5. Billed on Allocate: $2.00/$5.01 against $5.35/$32.10, list plus 7%.
Which has the bigger context window?
Inkling: 1,000,000 tokens (1M) against 400,000 (400K) for GPT-5.5.
Can I fine-tune GPT-5.5 or Inkling?
Inkling publishes open weights (Apache 2.0) and can be fine-tuned on your own data. GPT-5.5 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.