AI Rate Card

Qwen2.5 7B Instruct vs Llama 3.3 Nemotron Super 49B v1.5: API price and specs

Qwen2.5 7B Instruct is 64% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on input price.

Qwen2.5 7B Instruct is 88% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on output price.

Qwen2.5 7B Instruct is 74% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on a 1M-in / 200k-out workload.

Llama 3.3 Nemotron Super 49B v1.5 has a 297.2% larger context than Qwen2.5 7B Instruct.

FieldQwen2.5 7B InstructLlama 3.3 Nemotron Super 49B v1.5
Lowest input, per 1M$0.04$0.11 +175%
Median input, per 1M$0.085$0.40 +370.6%
Lowest output, per 1M$0.05$0.40 +700%
Median output, per 1M$0.15$0.40 +166.7%
Lowest unit price——
Cost of 1M in + 200k out$0.05$0.19 +280%
Context33K +74.8%131K
Max output29K +77.5%131K
Providers93 +66.7%
RegionsUSUS
Acceptstexttext
Returnstexttext
TypeText modelsText models
Free optionnono
Cheapest providerdeepinfraaihubmix

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, Qwen2.5 7B Instruct or Llama 3.3 Nemotron Super 49B v1.5?

Qwen2.5 7B Instruct is 64% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on input price. Qwen2.5 7B Instruct is 88% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on output price. Qwen2.5 7B Instruct is 74% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on a 1M-in / 200k-out workload.

Which has the larger context, Qwen2.5 7B Instruct or Llama 3.3 Nemotron Super 49B v1.5?

Qwen2.5 7B Instruct: 33K tokens; Llama 3.3 Nemotron Super 49B v1.5: 131K tokens.

Where can I use both Qwen2.5 7B Instruct and Llama 3.3 Nemotron Super 49B v1.5?

aihubmix, deepinfra, edenai