AllocateQwen3 Coder Next Fp8 vs Inkling Small
On provider list prices, Qwen3 Coder Next Fp8 costs $0.50 per million input tokens against $0.50 for Inkling Small: effectively level. Output is $1.20 against $1.20.
Qwen3 Coder Next Fp8
Inkling SmallSpecifications and provider list prices from the Allocate catalog, checked 2026-09-12.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $1,020 a month on Qwen3 Coder Next Fp8 and $1,020 on Inkling Small at list: a gap of $0.
Inkling Small reads 512K tokens per request against 256K for Qwen3 Coder Next Fp8, 2.0x the window. That decides which one can take whole documents without splitting them.
Choose Qwen3 Coder Next Fp8 for
- Fine-tuning under a permissive license (Apache 2.0)
Choose Inkling Small for
- The longer context window (512K vs 256K tokens)
- Published cached-input pricing ($0.10 per M tokens)
Common questions
Which is cheaper, Qwen3 Coder Next Fp8 or Inkling Small?
Qwen3 Coder Next Fp8, on this workload shape. At list prices it is $0.50/$1.20 per million tokens in and out against $0.50/$1.20 for Inkling Small. Billed on Allocate: $0.54/$1.28 against $0.54/$1.28.
Which has the bigger context window?
Inkling Small: 524,288 tokens (512K) against 262,144 (256K) for Qwen3 Coder Next Fp8.
Can I fine-tune Qwen3 Coder Next Fp8 or Inkling Small?
Both publish open weights (Qwen3 Coder Next Fp8: Apache 2.0; Inkling Small: 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 do not 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.