AI Rate Card

Qwen3 14B vs Ministral 14B: API price and specs

Qwen3 14B is 53% cheaper than Ministral 14B on input price.

Ministral 14B is 34% cheaper than Qwen3 14B on output price.

Qwen3 14B is 36% cheaper than Ministral 14B on a 1M-in / 200k-out workload.

Ministral 14B has a 100.1% larger context than Qwen3 14B.

FieldQwen3 14BMinistral 14B
Lowest input, per 1M$0.07$0.15 +114.3%
Median input, per 1M$0.12$0.20 +66.7%
Lowest output, per 1M$0.23 +52%$0.15
Median output, per 1M$0.24 +20%$0.20
Lowest unit price——
Cost of 1M in + 200k out$0.12$0.18 +55.7%
Context131K +50%262K
Max output131K +48.8%256K
Providers122 +83.3%
RegionsEU, USEU, GLOBAL
Acceptstextimage, pdf, text
Returnstexttext
TypeText modelsText models
Free optionnono
Cheapest providersiliconflowedenai

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

edenai, vercel

Frequently asked questions

Which is cheaper, Qwen3 14B or Ministral 14B?

Qwen3 14B is 53% cheaper than Ministral 14B on input price. Ministral 14B is 34% cheaper than Qwen3 14B on output price. Qwen3 14B is 36% cheaper than Ministral 14B on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3 14B or Ministral 14B?

Qwen3 14B: 131K tokens; Ministral 14B: 262K tokens.

Where can I use both Qwen3 14B and Ministral 14B?

edenai, vercel