AI Rate Card

QVQ-72B-Preview vs qwen2-7b-instruct: API price and specs

qwen2-7b-instruct is 78% cheaper than QVQ-72B-Preview on input price.

qwen2-7b-instruct is 89% cheaper than QVQ-72B-Preview on output price.

qwen2-7b-instruct is 81% cheaper than QVQ-72B-Preview on a 1M-in / 200k-out workload.

qwen2-7b-instruct has a 2.4% larger context than QVQ-72B-Preview.

FieldQVQ-72B-Previewqwen2-7b-instruct
Lowest input, per 1M$0.25 +354.5%$0.055
Median input, per 1M$0.72 +806.2%$0.08
Lowest output, per 1M$0.50 +809.1%$0.055
Median output, per 1M$0.85 +962.5%$0.08
Lowest unit price——
Cost of 1M in + 200k out$0.35 +430.3%$0.066
Context32K +2.3%33K
Max output——
Providers2 +33.3%3
Regions——
Accepts——
Returnstexttext
TypeText modelsText models
Free optionnono
Cheapest providerdeepinfradeepinfra

Your own workload: how many tokens the model gets (input) and gives back (output) - for example, in a month. The "Cost" row of the table above is recalculated for these numbers, for each model.

Computed from current offers each time the page opens; the best value of a row is bold, the percent is how far behind the best.

Providers selling both

aihubmix, deepinfra

Frequently asked questions

Which is cheaper, QVQ-72B-Preview or qwen2-7b-instruct?

qwen2-7b-instruct is 78% cheaper than QVQ-72B-Preview on input price. qwen2-7b-instruct is 89% cheaper than QVQ-72B-Preview on output price. qwen2-7b-instruct is 81% cheaper than QVQ-72B-Preview on a 1M-in / 200k-out workload.

Which has the larger context, QVQ-72B-Preview or qwen2-7b-instruct?

QVQ-72B-Preview: 32K tokens; qwen2-7b-instruct: 33K tokens.

Where can I use both QVQ-72B-Preview and qwen2-7b-instruct?

aihubmix, deepinfra