DeepSeek: R1 Distill Llama 70B vs Mistral Large 2407
Head-to-head API pricing and cost comparison between DeepSeek’s DeepSeek: R1 Distill Llama 70B and Mistral’s Mistral Large 2407. Prices auto-refresh daily from OpenRouter.
DeepSeek: R1 Distill Llama 70B is 65% cheaper for input tokens; DeepSeek: R1 Distill Llama 70B also wins on output tokens.
Side-by-side comparison
| Spec | DeepSeek: R1 Distill Llama 70B | Mistral Large 2407 |
|---|---|---|
| Input price (per 1M) | $0.70 | $2.00 |
| Cached input (per 1M) | — | $0.20 |
| Output price (per 1M) | $0.80 | $6.00 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | — | — |
| Context window | 131K | 131K |
| Vision support | No | No |
| Caching support | No | 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: R1 Distill Llama 70B | Mistral Large 2407 | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $15.30 | $66.00 | $50.70 DeepSeek: R1 Distill Llama 70B wins |
10K req/day 1500in / 500out tokens | $435.00 | $1,800 | $1,365 DeepSeek: R1 Distill Llama 70B wins |
100K req/day 3000in / 800out tokens | $8,220 | $32,400 | $24,180 DeepSeek: R1 Distill Llama 70B wins |
1M req/day 8000in / 2000out tokens | $216,000 | $840,000 | $624,000 DeepSeek: R1 Distill Llama 70B wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, DeepSeek: R1 Distill Llama 70B or Mistral Large 2407?
For input tokens, DeepSeek: R1 Distill Llama 70B is roughly 65% cheaper at $0.70/1M vs $2.00/1M. For output tokens, DeepSeek: R1 Distill Llama 70B wins at $0.80/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
DeepSeek: R1 Distill Llama 70B has a context window of 131K tokens. Mistral Large 2407 offers 131K 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: R1 Distill Llama 70B or Mistral Large 2407?
Choose DeepSeek: R1 Distill Llama 70B if you’re already on the DeepSeek stack, want broad ecosystem support, or prefer its lower input price. Choose Mistral Large 2407 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.