Qwen2.5-Coder-32B-Instruct vs Llama 3.3 Nemotron Super 49B v1.5: API price and specs

Qwen2.5-Coder-32B-Instruct is 45% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on input price.

Qwen2.5-Coder-32B-Instruct is 62% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on output price.

Qwen2.5-Coder-32B-Instruct is 53% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on a 1M-in / 200k-out workload.

Field	Qwen2.5-Coder-32B-Instruct	Llama 3.3 Nemotron Super 49B v1.5
Lowest input, per 1M	$0.06	$0.11 +83.3%
Median input, per 1M	$0.66 +65%	$0.40
Lowest output, per 1M	$0.15	$0.40 +166.7%
Median output, per 1M	$1.00 +150%	$0.40
Lowest unit price	—	—
Cost of 1M in + 200k out	$0.09	$0.19 +111.1%
Context	131K	131K
Max output	41K +68.8%	131K
Providers	9	3 +66.7%
Regions	GLOBAL	US
Accepts	text	text
Returns	text	text
Type	Text models	Text models
Free option	no	no
Cheapest provider	deepinfra	aihubmix

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-Coder-32B-Instruct or Llama 3.3 Nemotron Super 49B v1.5?

Qwen2.5-Coder-32B-Instruct is 45% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on input price. Qwen2.5-Coder-32B-Instruct is 62% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on output price. Qwen2.5-Coder-32B-Instruct is 53% cheaper than Llama 3.3 Nemotron Super 49B v1.5 on a 1M-in / 200k-out workload.

Which has the larger context, Qwen2.5-Coder-32B-Instruct or Llama 3.3 Nemotron Super 49B v1.5?

Qwen2.5-Coder-32B-Instruct: 131K tokens; Llama 3.3 Nemotron Super 49B v1.5: 131K tokens.

Where can I use both Qwen2.5-Coder-32B-Instruct and Llama 3.3 Nemotron Super 49B v1.5?

aihubmix, deepinfra, edenai