AllocateQwen2.5 72B Instruct vs Qwen2-VL (72B) Instruct
On provider list prices, Qwen2.5 72B Instruct costs $1.20 per million input tokens against $1.20 for Qwen2-VL (72B) Instruct: 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-VL (72B) InstructSpecifications 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-VL (72B) Instruct at list: a gap of $0.
Common questions
Which is cheaper, Qwen2.5 72B Instruct or Qwen2-VL (72B) Instruct?
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-VL (72B) Instruct. Billed on Allocate: $1.28/$1.28 against $1.28/$1.28, list plus 7%.
Which has the bigger context window?
They match: both read 32,768 tokens (32K) per request.
Can I fine-tune Qwen2.5 72B Instruct or Qwen2-VL (72B) Instruct?
Both publish open weights (Qwen2.5 72B Instruct: Qwen license; Qwen2-VL (72B) Instruct: 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.