← Agent Data Hub · Search endpoints · /llms.txt

OpenAI INT4 AWQ Memory-Optimized Serving (openai-quantized-int4-awq) Pricing & Spec Oracle

Returns exact token pricing ($0.5/1M input, $2/1M output), 128,000 context window, modalities, and batch ROI for OpenAI INT4 AWQ Memory-Optimized Serving.

Call it (no API key)

GET https://api.agentdatahub.de/api/v1/call/ai-model-spec-openai-quantized-int4-awq?calls_per_day=1000&avg_input_tokens=2000&compact=1

Full metadata: without compact=1 · Markdown: format=llm · Only some fields: add &fields=a,b.c · MCP: tool call_api with {"apiId":"ai-model-spec-openai-quantized-int4-awq"}

Parameters

Example response (live, compact)

{
  "apiId": "ai-model-spec-openai-quantized-int4-awq",
  "data_freshness": "cached",
  "data": {
    "model_id": "openai/quantized-int4-awq",
    "provider": "OpenAI",
    "tier": "INT4 AWQ Memory-Optimized Serving",
    "context_window_tokens": 128000,
    "max_output_tokens": 32000,
    "pricing_usd_per_1m_tokens": {
      "input": 0.5,
      "output": 2,
      "cached_input": 0.125
    },
    "supported_capabilities": "Single-GPU Cost-Optimized Deployment",
    "supports_mcp_tools": true,
    "workload_simulation": {
      "calls_per_day": 1000,
      "daily_cost_usd": 2,
      "monthly_cost_usd": 60
    }
  },
  "source": "100% Platform AI Model Benchmark Registry",
  "license": "100% Platform Deterministic Compute / Open Reference"
}

Source & license