AllocateInkling vs GLM 5.2
On provider list prices, GLM 5.2 costs $1.40 per million input tokens against $1.87 for Inkling: 1.3x apart. Output is $4.40 against $4.68 (1.1x). On Allocate both bill at list plus the 7% transaction fee.
InklingG GLM 5.2Specifications 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 $3,220 a month on GLM 5.2 and $3,882 on Inkling at list: a gap of $662, or 1.2x.
Inkling reads 1M tokens per request against 256K for GLM 5.2, 3.8x the window. That decides which one can take whole documents without splitting them.
Choose Inkling for
- The longer context window (1M vs 256K tokens)
- Fine-tuning under a permissive license (Apache 2.0)
Choose GLM 5.2 for
- Agents on open weights
- Code and structured outputs
- Fine-tuning toward an owned model
Common questions
Which is cheaper, Inkling or GLM 5.2?
GLM 5.2, on this workload shape. At list prices it is $1.40/$4.40 per million tokens in and out against $1.87/$4.68 for Inkling. Billed on Allocate: $1.50/$4.71 against $2.00/$5.01, list plus 7%.
Which has the bigger context window?
Inkling: 1,000,000 tokens (1M) against 262,144 (256K) for GLM 5.2.
Can I fine-tune Inkling or GLM 5.2?
Both publish open weights (Inkling: Apache 2.0; GLM 5.2: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
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.