AllocateQwen2.5 72B Instruct vs Qwen2.5 72B Instruct Turbo
On provider list prices, Qwen2.5 72B Instruct costs $1.20 per million input tokens against $1.20 for Qwen2.5 72B Instruct Turbo: effectively level. Output is $1.20 against $1.20. On Allocate both bill at list plus the 7% transaction fee.
Qwen2.5 72B Instruct Qwen2.5 72B Instruct TurboSpecifications 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 $1,860 a month on Qwen2.5 72B Instruct and $1,860 on Qwen2.5 72B Instruct Turbo at list: a gap of $0.
Qwen2.5 72B Instruct Turbo reads 128K tokens per request against 32K for Qwen2.5 72B Instruct, 4.0x the window. That decides which one can take whole documents without splitting them.
Choose Qwen2.5 72B Instruct Turbo for
- The longer context window (128K vs 32K tokens)
Common questions
Which is cheaper, Qwen2.5 72B Instruct or Qwen2.5 72B Instruct Turbo?
Qwen2.5 72B Instruct, on this workload shape. At list prices it is $1.20/$1.20 per million tokens in and out against $1.20/$1.20 for Qwen2.5 72B Instruct Turbo. Billed on Allocate: $1.28/$1.28 against $1.28/$1.28, list plus 7%.
Which has the bigger context window?
Qwen2.5 72B Instruct Turbo: 131,072 tokens (128K) against 32,768 (32K) for Qwen2.5 72B Instruct.
Can I fine-tune Qwen2.5 72B Instruct or Qwen2.5 72B Instruct Turbo?
Both publish open weights (Qwen2.5 72B Instruct: Qwen license; Qwen2.5 72B Instruct Turbo: Qwen license), 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.