AI Rate Card

DeepSeek V3.2 vs Mistral Large 2.1: API price and specs

DeepSeek V3.2 is 89% cheaper than Mistral Large 2.1 on input price.

DeepSeek V3.2 is 94% cheaper than Mistral Large 2.1 on output price.

DeepSeek V3.2 is 91% cheaper than Mistral Large 2.1 on a 1M-in / 200k-out workload.

DeepSeek V3.2 has a 28.1% larger context than Mistral Large 2.1.

FieldDeepSeek V3.2Mistral Large 2.1
Lowest input, per 1M$0.22$2.00 +809.1%
Median input, per 1M$0.30$2.00 +566.7%
Lowest output, per 1M$0.33$6.00 +1718.2%
Median output, per 1M$0.50$6.00 +1100%
Lowest unit price——
Cost of 1M in + 200k out$0.29$3.20 +1018.9%
Context164K128K +22%
Max output164K33K +80%
Providers293 +89.7%
RegionsEU, GLOBAL, US—
Acceptstextimage, text
Returnstexttext
TypeText modelsText models
Free optionnono
Cheapest providertokengoaihubmix

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, helicone, io-net

Frequently asked questions

Which is cheaper, DeepSeek V3.2 or Mistral Large 2.1?

DeepSeek V3.2 is 89% cheaper than Mistral Large 2.1 on input price. DeepSeek V3.2 is 94% cheaper than Mistral Large 2.1 on output price. DeepSeek V3.2 is 91% cheaper than Mistral Large 2.1 on a 1M-in / 200k-out workload.

Which has the larger context, DeepSeek V3.2 or Mistral Large 2.1?

DeepSeek V3.2: 164K tokens; Mistral Large 2.1: 128K tokens.

Where can I use both DeepSeek V3.2 and Mistral Large 2.1?

aihubmix, helicone, io-net