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.
| Field | DeepSeek V3.2 | Mistral 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% |
| Context | 164K | 128K +22% |
| Max output | 164K | 33K +80% |
| Providers | 29 | 3 +89.7% |
| Regions | EU, GLOBAL, US | — |
| Accepts | text | image, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | tokengo | aihubmix |
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
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