AI Rate Card

Qwen3 14B vs granite-4.2-30b: API price and specs

Qwen3 14B is 56% cheaper than granite-4.2-30b on input price.

Qwen3 14B is 65% cheaper than granite-4.2-30b on output price.

Qwen3 14B is 60% cheaper than granite-4.2-30b on a 1M-in / 200k-out workload.

granite-4.2-30b has a 0.1% larger context than Qwen3 14B.

FieldQwen3 14Bgranite-4.2-30b
Lowest input, per 1M$0.07$0.16 +128.6%
Median input, per 1M$0.12$0.16 +33.3%
Lowest output, per 1M$0.23$0.65 +185.1%
Median output, per 1M$0.24$0.65 +170.8%
Lowest unit price——
Cost of 1M in + 200k out$0.12$0.29 +150.9%
Context131K +0.1%131K
Max output131K—
Providers123 +75%
RegionsEU, USUS
Acceptstexttext
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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-4.2-30b?

Qwen3 14B is 56% cheaper than granite-4.2-30b on input price. Qwen3 14B is 65% cheaper than granite-4.2-30b on output price. Qwen3 14B is 60% cheaper than granite-4.2-30b on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3 14B or granite-4.2-30b?

Qwen3 14B: 131K tokens; granite-4.2-30b: 131K tokens.

Where can I use both Qwen3 14B and granite-4.2-30b?

deepinfra, edenai, huggingface