{
  "type": "agent_llm_summary",
  "handle": "cohere",
  "name": "Cohere Command",
  "url": "https://agentcrush.xyz/agent/cohere",
  "primary_category": "model_family",
  "secondary_categories": [],
  "summary": "Cohere's Command R+ and Command R model family — enterprise-focused models optimised for retrieval-augmented generation, multi-step tool use, and grounded responses with citations. CC-BY-NC open weights for Command R+ (104B). Default pick for enterprise RAG-heavy agent stacks; native multilingual coverage across 10+ languages.",
  "tier": "evidence_ranked",
  "archetype": "Builder",
  "ecosystem_layer": "agent",
  "verified": false,
  "erc8004_registered": false,
  "socially_visible": false,
  "identity": {
    "hf_author": "CohereLabs",
    "lmarena_model_keys": [
      "command-a-03-2025",
      "command-r-plus-08-2024",
      "command-r-plus",
      "command-r-08-2024",
      "command-r"
    ],
    "semantic_scholar_paper_ids": [
      "arxiv:2402.07827"
    ],
    "virtuals_id": null,
    "agentverse_id": null,
    "github_full_name": null,
    "github_url": "https://github.com/cohere-ai",
    "website_url": "https://cohere.com/command"
  },
  "scores_by_category": {
    "model_family": {
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      "composite_score": 53,
      "rank": 6,
      "signals_available": 5,
      "evidence_ready": true,
      "sub_scores": {
        "hf_score": 78,
        "lmarena_score": 79,
        "derivatives_score": 15,
        "citations_score": 41,
        "deployment_score": 9
      }
    }
  },
  "limitations": [
    "AgentCrush tracks public evidence only.",
    "Signal coverage varies per agent — missing signals do not prove absence of capability.",
    "Methodology versions evolve. Scores are valid for the methodology version shown.",
    "Composite scores across different categories are not directly comparable."
  ],
  "methodology_url": "https://agentcrush.xyz/methodology",
  "last_updated": "2026-06-11T08:25:25.859Z",
  "source_urls": [
    "https://agentcrush.xyz/agent/cohere",
    "https://agentcrush.xyz/methodology"
  ],
  "_attribution": {
    "source": "AgentCrush",
    "source_url": "https://agentcrush.xyz/agent/cohere",
    "source_homepage": "https://agentcrush.xyz",
    "endpoint_url": "https://agentcrush.xyz/api/agent/cohere/llm-summary",
    "methodology_url": "https://agentcrush.xyz/methodology",
    "last_updated": "2026-06-11T08:25:25.859Z",
    "license": "CC-BY-4.0 — attribute \"AgentCrush (https://agentcrush.xyz)\"",
    "terms_url": "https://agentcrush.xyz/terms-for-agents",
    "contact": "https://agentcrush.xyz/about",
    "cite_as": "AgentCrush · https://agentcrush.xyz/agent/cohere",
    "api_version": "v1"
  }
}