AllocateQwen 3.5 vs Inkling FP4
On provider list prices, Qwen 3.5 costs $0.60 per million input tokens against $1 for Inkling FP4: 1.7x apart. Output is $3.60 against $4.05 (1.1x).
Qwen 3.5
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 $1,980 a month on Qwen 3.5 and $2,618 on Inkling FP4 at list: a gap of $637.50, or 1.3x.
Inkling FP4 reads 512K tokens per request against 256K for Qwen 3.5, 2.0x the window. That decides which one can take whole documents without splitting them.
Choose Qwen 3.5 for
- Multilingual support agents
- Translation-adjacent workflows
- Fine-tuning under Apache 2.0
Choose Inkling FP4 for
- The longer context window (512K vs 256K tokens)
- Fine-tuning under a permissive license (Apache 2.0)
Common questions
Which is cheaper, Qwen 3.5 or Inkling FP4?
Qwen 3.5, on this workload shape. At list prices it is $0.60/$3.60 per million tokens in and out against $1/$4.05 for Inkling FP4. Billed on Allocate: $0.64/$3.85 against $1.07/$4.33.
Which has the bigger context window?
Inkling FP4: 524,288 tokens (512K) against 262,144 (256K) for Qwen 3.5.
Can I fine-tune Qwen 3.5 or Inkling FP4?
Both publish open weights (Qwen 3.5: Apache 2.0; Inkling FP4: Apache 2.0), 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.