AI Rate Card

Qwen 2.5 72B Instruct vs Llama 3.3 Nemotron Super 49B v1.5: API price and specs

Llama 3.3 Nemotron Super 49B v1.5 is 52% cheaper than Qwen 2.5 72B Instruct on input price.

Llama 3.3 Nemotron Super 49B v1.5 is 39% cheaper than Qwen 2.5 72B Instruct on a 1M-in / 200k-out workload.

FieldQwen 2.5 72B InstructLlama 3.3 Nemotron Super 49B v1.5
Lowest input, per 1M$0.23 +109.1%$0.11
Median input, per 1M$0.36$0.40 +11.1%
Lowest output, per 1M$0.40$0.40
Median output, per 1M$0.40$0.40
Lowest unit price——
Cost of 1M in + 200k out$0.31 +63.2%$0.19
Context131K131K
Max output16K +87.5%131K
Providers113 +72.7%
RegionsUSUS
Acceptstexttext
Returnstexttext
TypeText modelsText models
Free optionnono
Cheapest providerrequestyaihubmix

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, edenai

Frequently asked questions

Which is cheaper, Qwen 2.5 72B Instruct or Llama 3.3 Nemotron Super 49B v1.5?

Llama 3.3 Nemotron Super 49B v1.5 is 52% cheaper than Qwen 2.5 72B Instruct on input price. Llama 3.3 Nemotron Super 49B v1.5 is 39% cheaper than Qwen 2.5 72B Instruct on a 1M-in / 200k-out workload.

Which has the larger context, Qwen 2.5 72B Instruct or Llama 3.3 Nemotron Super 49B v1.5?

Qwen 2.5 72B Instruct: 131K tokens; Llama 3.3 Nemotron Super 49B v1.5: 131K tokens.

Where can I use both Qwen 2.5 72B Instruct and Llama 3.3 Nemotron Super 49B v1.5?

aihubmix, deepinfra, edenai