{
  "schema_version": "openagent.resource.v1",
  "id": "res_llama_4",
  "slug": "llama-4",
  "status": "published",
  "identity": {
    "name": "Llama 4",
    "one_liner": "Meta's flagship open MoE model family with Scout (109B, 10M context) and Maverick (400B, rivaling GPT-5 on coding).",
    "short_description": "Meta's flagship open MoE model family with Scout (109B, 10M context) and Maverick (400B, rivaling GPT-5 on coding)."
  },
  "classification": {
    "resource_type": "model",
    "primary_category": "models",
    "subcategories": [
      "open-weights",
      "local-ai",
      "local-inference",
      "self-hosted",
      "tool-calling"
    ]
  },
  "positioning": {
    "why_it_matters": "Llama 4 represents Meta's latest open MoE model family, with Scout offering an unprecedented 10M token context window and Maverick rivaling GPT-5 on coding benchmarks, making it a top contender for open model evaluation.",
    "best_for": [
      "Developers evaluating open MoE models with extreme long-context needs",
      "Teams comparing Llama 4 Maverick against GPT-5 for coding and reasoning workloads",
      "Builders who need a permissively licensed open model with multiple size variants"
    ],
    "not_for": [
      "Teams that cannot review the Llama 4 Community License terms before deployment",
      "Use cases requiring verified multimodal input beyond text-based reasoning"
    ],
    "use_cases": [
      "local-ai",
      "self-hosted-ai"
    ],
    "target_audience": [
      "developer",
      "researcher"
    ],
    "maturity": "active"
  },
  "decision_signals": {
    "deployment_modes": [
      "local",
      "self_hosted",
      "cloud"
    ],
    "open_source": true,
    "local_first": true,
    "self_hostable": true,
    "has_api": false,
    "has_gui": false,
    "supports_mcp": false,
    "supports_docker": false
  },
  "facts": {
    "license": "Llama 4 Community License",
    "pricing_model": "open_source",
    "github_stars": 7500,
    "github_repo_full_name": "meta-llama/llama-models",
    "last_verified_at": "2026-06-16"
  },
  "capabilities": {
    "core_capabilities": [
      "local-inference",
      "inference"
    ],
    "integrations": [
      "GitHub",
      "Hugging Face"
    ],
    "interfaces": [
      "docs",
      "demo"
    ]
  },
  "links": {
    "primary_url": "https://github.com/meta-llama/llama-models",
    "items": [
      {
        "type": "github",
        "label": "GitHub",
        "url": "https://github.com/meta-llama/llama-models"
      }
    ]
  },
  "media": {},
  "tags": {
    "category": [
      "model",
      "open-source"
    ],
    "capability": [
      "local-inference",
      "inference"
    ],
    "constraint": [
      "open-source",
      "open-weights",
      "self-hosted",
      "local-first"
    ],
    "scenario": [
      "local-ai",
      "self-hosted-ai"
    ]
  },
  "relationships": {},
  "machine_readable": {
    "canonical_url": "https://www.openagent.bot/models/llama-4",
    "json_url": "https://www.openagent.bot/models/llama-4.json",
    "markdown_url": "https://www.openagent.bot/models/llama-4.md"
  },
  "seo": {
    "title": "Llama 4: AI Model — Meta's flagship open MoE model family with Scout (109B, 10M context) and Maverick (400B, rivaling GPT-5 on coding).",
    "description": "Llama 4 is an open-source open-source model. Meta's flagship open MoE model family with Scout (109B, 10M context) and Maverick (400B, rivaling GPT-5 on coding).. 了解 Llama 4 是什么、适合谁、怎么用。包含官方链接、开源状态和替代方案。"
  },
  "timestamps": {
    "created_at": "2026-06-16T00:00:00.000Z",
    "updated_at": "2026-06-16T00:00:00.000Z",
    "published_at": "2026-06-16T00:00:00.000Z"
  }
}