Curiosity · AI Model
Command R+
Command R+ is Cohere's 104B open-weights flagship — released in multiple refreshes through 2024–2025 and purpose-engineered for retrieval-augmented generation, tool use, and enterprise workflows. Weights are public for research under CC-BY-NC, with commercial production served through Cohere's API.
Model specs
- Vendor
- Cohere
- Family
- Command R
- Released
- 2024-08
- Context window
- 128,000 tokens
- Modalities
- text
- Input price
- $2.5/M tok
- Output price
- $10/M tok
- Pricing as of
- 2026-04-20
Strengths
- Best-in-class grounded citation behavior for RAG
- Strong structured function calling and tool use
- Broad multilingual coverage — English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, Chinese
- Open weights available on Hugging Face for research and evaluation
Limitations
- CC-BY-NC license blocks commercial self-host — must use Cohere API for production
- Trails newer open models on general reasoning benchmarks
- Per-token API pricing higher than open self-host alternatives
- Text-only — no native vision or audio
Use cases
- Enterprise RAG pipelines with high-fidelity grounded citations
- Multi-step tool-use agents with structured function calling
- Multilingual customer support across ten major languages
- Document-heavy workflows with 128K context
Benchmarks
| Benchmark | Score | As of |
|---|---|---|
| MMLU | ≈75% | 2024-08 |
| HumanEval | ≈70% | 2024-08 |
| MIRACL (RAG) | ≈62% | 2024-08 |
Frequently asked questions
What makes Command R+ different?
Command R+ is tuned specifically for enterprise RAG — grounded citations, structured tool use, and multilingual retrieval quality. It's engineered to be a drop-in generation engine for vector-DB pipelines rather than a general chat model.
Is Command R+ truly open-source?
Weights are published on Hugging Face under CC-BY-NC — free for research and non-commercial use. Commercial production deployments require Cohere's paid API, so it's 'open weights' but not open-source in the OSI sense.
When should I pick Command R+ over Llama 3.3 70B?
Pick Command R+ when RAG fidelity and built-in citation support are the main requirement, or when you want Cohere's tool-use ergonomics. Pick Llama 3.3 70B for fully open self-host and broader community support.
Sources
- Cohere — Command R+ blog — accessed 2026-04-20
- Hugging Face — CohereForAI/c4ai-command-r-plus — accessed 2026-04-20