DeepSeek: DeepSeek V3.2 Speciale vs Mistral Large
Head-to-head API pricing and cost comparison between DeepSeek’s DeepSeek: DeepSeek V3.2 Speciale and Mistral’s Mistral Large. Prices auto-refresh daily from OpenRouter.
DeepSeek: DeepSeek V3.2 Speciale is 86% cheaper for input tokens; DeepSeek: DeepSeek V3.2 Speciale also wins on output tokens.
Side-by-side comparison
| Spec | DeepSeek: DeepSeek V3.2 Speciale | Mistral Large |
|---|---|---|
| Input price (per 1M) | $0.29 | $2.00 |
| Cached input (per 1M) | $0.06 | $0.20 |
| Output price (per 1M) | $0.43 | $6.00 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | — | — |
| Context window | 164K | 128K |
| Vision support | No | No |
| Caching support | Yes | Yes |
| Batch API | No | No |
| Reasoning capability | No | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | DeepSeek: DeepSeek V3.2 Speciale | Mistral Large | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $6.89 | $66.00 | $59.11 DeepSeek: DeepSeek V3.2 Speciale wins |
10K req/day 1500in / 500out tokens | $193.80 | $1,800 | $1,606 DeepSeek: DeepSeek V3.2 Speciale wins |
100K req/day 3000in / 800out tokens | $3,617 | $32,400 | $28,783 DeepSeek: DeepSeek V3.2 Speciale wins |
1M req/day 8000in / 2000out tokens | $94,740 | $840,000 | $745,260 DeepSeek: DeepSeek V3.2 Speciale wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, DeepSeek: DeepSeek V3.2 Speciale or Mistral Large?
For input tokens, DeepSeek: DeepSeek V3.2 Speciale is roughly 86% cheaper at $0.29/1M vs $2.00/1M. For output tokens, DeepSeek: DeepSeek V3.2 Speciale wins at $0.43/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
DeepSeek: DeepSeek V3.2 Speciale has a context window of 164K tokens. Mistral Large offers 128K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.
Should I use DeepSeek: DeepSeek V3.2 Speciale or Mistral Large?
Choose DeepSeek: DeepSeek V3.2 Speciale if you’re already on the DeepSeek stack, want broad ecosystem support, or prefer its lower input price. Choose Mistral Large for Mistral’s ecosystem, or its differentiated capabilities. Run a small benchmark on your own prompts before committing — price is only one axis.
How are these prices kept current?
Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: May 28, 2026.