Command R
Command R is a legacy integration reference; keep it only while you identify a current replacement.
Use it for
- Teams maintaining an existing integration
- Workloads that can use a 128k context window
- Buyers comparing 4 tracked provider routes
Do not use it for
- New production launches
- Vision or document-understanding workloads
- Family
- Command R
- Released
- 2024-04-04
- Context
- 128k
- Parameters
- 104B*
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Cheapest of 6 routes · OpenRouter
About
Command R is a 35-billion parameter large language model developed by Cohere, tailored for enterprise-scale AI applications. It is optimized for long-context tasks such as retrieval-augmented generation (RAG) and tool use, emphasizing high performance coupled with strong accuracy. This model excels in reasoning, summarization, and question answering across ten key languages. Its use spans various enterprise applications, automating complex tasks that involve interacting with systems like CRMs, APIs, and databases. The model can process up to 128,000 tokens and integrates seamlessly with Cohere's Embed and Rerank models, enhancing accuracy and efficiency in large-scale tasks. Additionally, a more powerful iteration, Command R+ with 104 billion parameters, offers even greater capabilities.
Command R is a model. The structured metadata tracks a 128k-token context window and structured outputs. This page tracks provider routes through AWS Bedrock, Cohere API, Microsoft Foundry, and 3 more, with the cheapest tracked route listed at $0.15 input and $0.6 output per 1M tokens. Headline tracked benchmarks include Google-Proof Q&A 53.4, HellaSwag 90.8, and HumanEval 77.8.
Top use-case fit: coding, agents, and build tasks
Coding
1 relevant benchmark in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 6Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| OpenRouter | $0.150 | $0.600 | Serverless |
| AWS Bedrock | $0.500 | $1.50 | Serverless |
| Cohere API | $0.500 | $1.50 | Serverless |
| Microsoft Foundry | $0.500 | $1.50 | Serverless |
Capabilities
Benchmark peer barsfor Coding
Benchmark scores(4)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Google-Proof Q&A | 53.4 | diamond | research |
| HellaSwag | 90.8 | 10-shot | research |
| HumanEval | 77.8 | pass@1 | https://cohere.com/blog/command-r-plus |
| Massive Multitask Language Understanding | 80.2 | 5-shot | https://cohere.com/blog/command-r-plus |
Migration checks
No linked migration route is available for this model yet.