AllocateQwen3.7 Max vs Inkling
On provider list prices, Qwen3.7 Max costs $1.25 per million input tokens against $1.87 for Inkling: 1.5x apart. Output is $3.75 against $4.68 (1.2x). On Allocate both bill at list plus the 7% transaction fee.
Qwen3.7 Max
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 $2,813 a month on Qwen3.7 Max and $3,882 on Inkling at list: a gap of $1,070, or 1.4x.
Choose Inkling for
- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (Apache 2.0)
Common questions
Which is cheaper, Qwen3.7 Max or Inkling?
Qwen3.7 Max, on this workload shape. At list prices it is $1.25/$3.75 per million tokens in and out against $1.87/$4.68 for Inkling. Billed on Allocate: $1.34/$4.01 against $2.00/$5.01, list plus 7%.
Which has the bigger context window?
They match: both read 1,000,000 tokens (1M) per request.
Can I fine-tune Qwen3.7 Max or Inkling?
Inkling publishes open weights (Apache 2.0) and can be fine-tuned on your own data. Qwen3.7 Max 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.