DeepSeek V3.2 vs Mistral Large 3
DeepSeek against Mistral AI, costed on the same three workloads. DeepSeek V3.2 is cheaper on all three workloads.
DeepSeek V3.2 has been retired by its vendor. Its column shows the last rates it was sold at, kept for reference.
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Monthly bill, side by side
| Workload | DeepSeek V3.2 | Mistral Large 3 | Difference |
|---|---|---|---|
| Support chatbot 2,500 six-turn conversations a day |
$723 | $1,609 | $886 (2.2×) |
| Document summarizer 1,000 single-shot summaries a day |
$112 | $219 | $107 (2×) |
| Coding agent 200 twelve-turn sessions a day |
$606 | $1,224 | $618 (2×) |
No prompt caching and no batch discount on either side, so the comparison is like for like. Both figures assume 30 days a month.
The rate cards
| DeepSeek V3.2 | Mistral Large 3 | |
|---|---|---|
| Input, per 1M tokens | $0.28 | $0.5 |
| Output, per 1M tokens | $0.4 | $1.5 |
| Cached input | $0.028 | $0.05 |
| Context window | 164K | 262K |
| Maximum output | 164K | 262K |
| Reasoning model | yes | no |
| Vision | no | yes |
Beyond the price
- Mistral Large 3 reads up to 262K tokens of context in one request; DeepSeek V3.2 stops at 164K.
- Mistral Large 3 can write up to 262K tokens in one response, against 164K for DeepSeek V3.2.
- Only DeepSeek V3.2 is a reasoning model, so its output bill also pays for the thinking it does before it answers.
- Only Mistral Large 3 accepts images as input.
Run this comparison on your own numbers
Full detail: DeepSeek V3.2 pricing · Mistral Large 3 pricing
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- Mistral Large 3 vs Claude Haiku 4.5
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Common questions
Which is cheaper, DeepSeek V3.2 or Mistral Large 3?
DeepSeek V3.2 is cheaper on all three workloads.
How much would DeepSeek V3.2 and Mistral Large 3 cost each month?
On PromptSpend's standard workloads, per month: support chatbot: DeepSeek V3.2 $723, Mistral Large 3 $1,609 (DeepSeek V3.2 is cheaper by $886); document summarizer: DeepSeek V3.2 $112, Mistral Large 3 $219 (DeepSeek V3.2 is cheaper by $107); coding agent: DeepSeek V3.2 $606, Mistral Large 3 $1,224 (DeepSeek V3.2 is cheaper by $618). No prompt caching and no batch discount is assumed.
How do DeepSeek V3.2 and Mistral Large 3 differ apart from price?
Mistral Large 3 reads up to 262K tokens of context in one request; DeepSeek V3.2 stops at 164K. Mistral Large 3 can write up to 262K tokens in one response, against 164K for DeepSeek V3.2. Only DeepSeek V3.2 is a reasoning model, so its output bill also pays for the thinking it does before it answers. Only Mistral Large 3 accepts images as input.