Cohere: Command R (08-2024) vs Meta: Llama 3.1 70B Instruct
Head-to-head API pricing and cost comparison between Cohere’s Cohere: Command R (08-2024) and Meta’s Meta: Llama 3.1 70B Instruct. Prices auto-refresh daily from OpenRouter.
Cohere: Command R (08-2024) is 63% cheaper for input tokens; Meta: Llama 3.1 70B Instruct wins on output tokens at $0.40/1M.
Side-by-side comparison
| Spec | Cohere: Command R (08-2024) | Meta: Llama 3.1 70B Instruct |
|---|---|---|
| Input price (per 1M) | $0.15 | $0.40 |
| Cached input (per 1M) | — | — |
| Output price (per 1M) | $0.60 | $0.40 |
| 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) | Meta: Llama 3.1 70B Instruct | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $5.85 | $8.40 | $2.55 Cohere: Command R (08-2024) wins |
10K req/day 1500in / 500out tokens | $157.50 | $240.00 | $82.50 Cohere: Command R (08-2024) wins |
100K req/day 3000in / 800out tokens | $2,790 | $4,560 | $1,770 Cohere: Command R (08-2024) wins |
1M req/day 8000in / 2000out tokens | $72,000 | $120,000 | $48,000 Cohere: Command R (08-2024) wins |
Adjust input/output token counts, request volume, batch & cached pricing.
Related comparisons
- Anthropic: Claude Haiku 4.5 vs Cohere: Command R (08-2024)Compare pricing →
- Anthropic: Claude Opus 4.7 vs Cohere: Command R (08-2024)Compare pricing →
- Anthropic: Claude Sonnet 4.6 vs Cohere: Command R (08-2024)Compare pricing →
- Cohere: Command R+ (08-2024) vs Meta: Llama 3.1 70B InstructCompare pricing →
Frequently asked questions
Which is cheaper, Cohere: Command R (08-2024) or Meta: Llama 3.1 70B Instruct?
For input tokens, Cohere: Command R (08-2024) is roughly 63% cheaper at $0.15/1M vs $0.40/1M. For output tokens, Meta: Llama 3.1 70B Instruct wins at $0.40/1M. 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. Meta: Llama 3.1 70B Instruct 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 Meta: Llama 3.1 70B Instruct?
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 Meta: Llama 3.1 70B Instruct for Meta’s ecosystem, or its cheaper output tokens. 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.