AI Rate Card

Qwen3 14B vs granite-4.2-3b: API price and specs

granite-4.2-3b is 57% cheaper than Qwen3 14B on input price.

granite-4.2-3b is 47% cheaper than Qwen3 14B on output price.

granite-4.2-3b is 53% cheaper than Qwen3 14B on a 1M-in / 200k-out workload.

granite-4.2-3b has a 0.1% larger context than Qwen3 14B.

FieldQwen3 14Bgranite-4.2-3b
Lowest input, per 1M$0.07 +133.3%$0.03
Median input, per 1M$0.12 +300%$0.03
Lowest output, per 1M$0.23 +90%$0.12
Median output, per 1M$0.24 +100%$0.12
Lowest unit price——
Cost of 1M in + 200k out$0.12 +114.1%$0.054
Context131K +0.1%131K
Max output131K—
Providers123 +75%
RegionsEU, USUS
Acceptstexttext
Returnstexttext
TypeText modelsText models
Free optionnono
Cheapest providersiliconflowdeepinfra

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

deepinfra, edenai, huggingface

Frequently asked questions

Which is cheaper, Qwen3 14B or granite-4.2-3b?

granite-4.2-3b is 57% cheaper than Qwen3 14B on input price. granite-4.2-3b is 47% cheaper than Qwen3 14B on output price. granite-4.2-3b is 53% cheaper than Qwen3 14B on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3 14B or granite-4.2-3b?

Qwen3 14B: 131K tokens; granite-4.2-3b: 131K tokens.

Where can I use both Qwen3 14B and granite-4.2-3b?

deepinfra, edenai, huggingface