AllocateQwen2.5-VL (72B) Instruct vs Qwen3.7 Max
On provider list prices, Qwen2.5-VL (72B) Instruct costs $1.95 per million input tokens against $2.50 for Qwen3.7 Max: 1.3x apart. Output is $8 against $7.50.
Qwen2.5-VL (72B) Instruct Qwen3.7 MaxSpecifications 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 $5,140 a month on Qwen2.5-VL (72B) Instruct and $5,625 on Qwen3.7 Max at list: a gap of $485.
Qwen3.7 Max reads 1M tokens per request against 32K for Qwen2.5-VL (72B) Instruct, 30.5x the window. That decides which one can take whole documents without splitting them.
Choose Qwen2.5-VL (72B) Instruct for
- The lower list price ($1.95 in / $8 out per M tokens)
- Open weights you can fine-tune and own
Choose Qwen3.7 Max for
- The longer context window (1M vs 32K tokens)
- Published cached-input pricing ($0.50 per M tokens)
Common questions
Which is cheaper, Qwen2.5-VL (72B) Instruct or Qwen3.7 Max?
Qwen2.5-VL (72B) Instruct, on this workload shape. At list prices it is $1.95/$8 per million tokens in and out against $2.50/$7.50 for Qwen3.7 Max. Billed on Allocate: $2.09/$8.56 against $2.67/$8.03.
Which has the bigger context window?
Qwen3.7 Max: 1,000,000 tokens (1M) against 32,768 (32K) for Qwen2.5-VL (72B) Instruct.
Can I fine-tune Qwen2.5-VL (72B) Instruct or Qwen3.7 Max?
Qwen2.5-VL (72B) Instruct publishes open weights (Qwen license) and can be fine-tuned on your own data. Qwen3.7 Max is a closed model served over API; its weights are not available.
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.