AI Rate Card

Qwen3 235B-A22B vs Ministral 14B: API price and specs

Ministral 14B is 17% cheaper than Qwen3 235B-A22B on input price.

Ministral 14B is 72% cheaper than Qwen3 235B-A22B on output price.

Ministral 14B is 38% cheaper than Qwen3 235B-A22B on a 1M-in / 200k-out workload.

FieldQwen3 235B-A22BMinistral 14B
Lowest input, per 1M$0.18 +20%$0.15
Median input, per 1M$0.21 +5.5%$0.20
Lowest output, per 1M$0.54 +260%$0.15
Median output, per 1M$0.80 +300%$0.20
Lowest unit price——
Cost of 1M in + 200k out$0.29 +60%$0.18
Context262K262K
Max output82K +68%256K
Providers132 +84.6%
RegionsUSEU, GLOBAL
Acceptsimage, text, videoimage, pdf, text
Returnstexttext
TypeText modelsText models
Free optionnono
Cheapest providerdeepinfraedenai

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 235B-A22B or Ministral 14B?

Ministral 14B is 17% cheaper than Qwen3 235B-A22B on input price. Ministral 14B is 72% cheaper than Qwen3 235B-A22B on output price. Ministral 14B is 38% cheaper than Qwen3 235B-A22B on a 1M-in / 200k-out workload.

Which has the larger context, Qwen3 235B-A22B or Ministral 14B?

Qwen3 235B-A22B: 262K tokens; Ministral 14B: 262K tokens.

Where can I use both Qwen3 235B-A22B and Ministral 14B?

edenai, vercel