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Model details
Command A
Command A is Cohere's generative enterprise-oriented language model in the Command A family, positioned as a foundation model for demanding production workloads. According to Cohere and Cohere Labs documentation surfaced through third-party cataloging, it advances core capabilities in multilingual understanding, retrieval-augmented generation, code synthesis, and agentic tool use, reflecting a deliberate emphasis on the kinds of tasks organizations face when integrating language technology into real business processes rather than purely open-ended chat. The model is openly available through the CohereLabs/c4ai-command-a-03-2025 repository on Hugging Face, with downloadable GGUF quantizations and an Ollama distribution that make self-hosting practical for teams that need to keep data on their own infrastructure.
For practitioners, Command A fits scenarios that combine retrieval-heavy question answering with tool-using agents, multilingual customer interactions, and code generation embedded in larger pipelines. The publicly available GGUF and Ollama artifacts, along with the linked Cohere research paper on arXiv, suggest an ecosystem geared toward transparent deployment and continued study, while the Cohere documentation and official Command A blog post offer deeper guidance on prompting, RAG patterns, and tool integration. Compared with Cohere's later Command A+ variant, which adopts a mixture-of-experts design and multimodal inputs, the original Command A remains a text-only, RAG-and-tool-friendly workhorse aimed at teams that want an open, locally runnable enterprise model without paying for the larger successor's footprint.
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- Model key
- cohere/command-a
- Release date
- Mar 13, 2025
- Last updated
- Mar 13, 2025
- Knowledge cutoff
- 2024-08-31
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $2.50
- Output token cost
- $10.00
Limits
- Output tokens
- 8,192 tokens
- Context window
- 256,000 tokens
Transparent token rates
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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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