# Anthropic LoRA / Custom Domain Fine-Tuned Inference (anthropic-fine-tuned-custom) Pricing & Spec Oracle (`ai-model-spec-anthropic-fine-tuned-custom`)
- **Status**: 200 OK | **Latency**: 1ms | **Cached**: true
- **Primary Authority**: 100% Platform AI Model Benchmark Registry
- **License & Trust**: 100% Platform Deterministic Compute / Open Reference (computed_by_platform)
- **Verified At (UTC)**: 2026-10-27T13:56:43.226Z
- **Data Freshness**: cached
## Structured Data
```json
{
  "model_id": "anthropic/fine-tuned-custom",
  "provider": "Anthropic",
  "tier": "LoRA / Custom Domain Fine-Tuned Inference",
  "context_window_tokens": 200000,
  "max_output_tokens": 50000,
  "pricing_usd_per_1m_tokens": {
    "input": 3.9,
    "output": 19.5,
    "cached_input": 0.975
  },
  "supported_capabilities": "Enterprise Domain-Specific Execution",
  "supports_mcp_tools": true,
  "workload_simulation": {
    "calls_per_day": 1000,
    "daily_cost_usd": 17.55,
    "monthly_cost_usd": 526.5
  }
}
```
> **AI Agent Hint**: Agent Data Hub: ask anything via GET /api/v1/ask?q=..., whole tasks via /api/v1/bundles, up to 10 calls via POST /api/v1/batch. Add compact=1 or fields=a,b to save tokens. Docs: /llms.txt