Cohere: Command R (08-2024) vs DeepSeek: R1 Distill Llama 70B
Head-to-head API pricing and cost comparison between Cohere’s Cohere: Command R (08-2024) and DeepSeek’s DeepSeek: R1 Distill Llama 70B. Prices auto-refresh daily from OpenRouter.
Cohere: Command R (08-2024) is 79% cheaper for input tokens; Cohere: Command R (08-2024) also wins on output tokens.
Side-by-side comparison
| Spec | Cohere: Command R (08-2024) | DeepSeek: R1 Distill Llama 70B |
|---|---|---|
| Input price (per 1M) | $0.15 | $0.70 |
| Cached input (per 1M) | — | — |
| Output price (per 1M) | $0.60 | $0.80 |
| Batch input (per 1M) | — | — |
| Batch output (per 1M) | — | — |
| Reasoning price (per 1M) | — | — |
| Context window | 128K | 131K |
| Vision support | No | No |
| Caching support | No | No |
| 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 | Cohere: Command R (08-2024) | DeepSeek: R1 Distill Llama 70B | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $5.85 | $15.30 | $9.45 Cohere: Command R (08-2024) wins |
10K req/day 1500in / 500out tokens | $157.50 | $435.00 | $277.50 Cohere: Command R (08-2024) wins |
100K req/day 3000in / 800out tokens | $2,790 | $8,220 | $5,430 Cohere: Command R (08-2024) wins |
1M req/day 8000in / 2000out tokens | $72,000 | $216,000 | $144,000 Cohere: Command R (08-2024) wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, Cohere: Command R (08-2024) or DeepSeek: R1 Distill Llama 70B?
For input tokens, Cohere: Command R (08-2024) is roughly 79% cheaper at $0.15/1M vs $0.70/1M. For output tokens, Cohere: Command R (08-2024) wins at $0.60/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Cohere: Command R (08-2024) has a context window of 128K tokens. DeepSeek: R1 Distill Llama 70B 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 Cohere: Command R (08-2024) or DeepSeek: R1 Distill Llama 70B?
Choose Cohere: Command R (08-2024) if you’re already on the Cohere stack, want broad ecosystem support, or prefer its lower input price. Choose DeepSeek: R1 Distill Llama 70B for DeepSeek’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: Apr 21, 2026.