AllocateQwen3.7 Max vs Inkling FP4
On provider list prices, Qwen3.7 Max costs $1.25 per million input tokens against $1 for Inkling FP4: effectively level. Output is $3.75 against $4.05 (1.1x).
Qwen3.7 Max
Inkling FP4Specifications 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 $2,618 a month on Inkling FP4 and $2,813 on Qwen3.7 Max at list: a gap of $195.
Qwen3.7 Max reads 1M tokens per request against 512K for Inkling FP4, 1.9x the window. That decides which one can take whole documents without splitting them.
Choose Inkling FP4 for
- The lower list price ($1 in / $4.05 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, Qwen3.7 Max or Inkling FP4?
Inkling FP4, on this workload shape. At list prices it is $1/$4.05 per million tokens in and out against $1.25/$3.75 for Qwen3.7 Max. Billed on Allocate: $1.07/$4.33 against $1.34/$4.01.
Which has the bigger context window?
Qwen3.7 Max: 1,000,000 tokens (1M) against 524,288 (512K) for Inkling FP4.
Can I fine-tune Qwen3.7 Max or Inkling FP4?
Inkling FP4 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.