DeepSeek V3 0324 vs Mistral Large 2
Direct comparison between deepseek and mistral for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: DeepSeek V3 0324
- · DeepSeek V3 0324: One of the cheapest models with serious coding quality
- · Mistral Large 2: EU-hosted — GDPR-friendly without US data export
Spec comparison
| Spec | DeepSeek V3 0324 | Mistral Large 2 |
|---|---|---|
| Provider | deepseek | mistral |
| Input per 1M tokens | $0.27 / 1M | $2.00 / 1M |
| Output per 1M tokens | $1.12 / 1M | $6.00 / 1M |
| Context window | 128,000 tok | 128,000 tok |
| Max output | 8,192 tok | 8,192 tok |
| Tool calling | ||
| JSON mode | ||
| Structured output |
DeepSeek V3 0324 — strengths
- +One of the cheapest models with serious coding quality
- +MoE architecture — low active parameters per token
- +Solid on math, comparable to western mid-tier models
Mistral Large 2 — strengths
- +EU-hosted — GDPR-friendly without US data export
- +Strong on European languages (DE, FR, IT, ES)
- +Solid tool calling and JSON mode
DeepSeek V3 0324 — weaknesses
- −Compliance concerns for some EU/US enterprise contexts
- −Knowledge cutoff stronger on Chinese sources than western ones
Mistral Large 2 — weaknesses
- −Code quality behind Sonnet 4.6 and GPT-5.4
- −No native vision