{
  "$schema": "https://www.slavin.ai/data/llm-vendor-pricing-schema.json",
  "dataset": {
    "name": "LLM Vendor Pricing & Capability Comparison",
    "version": "2026-06",
    "publisher": "Slavin AI (SLAtech LTD)",
    "publisherUrl": "https://www.slavin.ai/",
    "license": "CC-BY-4.0",
    "lastUpdated": "2026-06-14",
    "description": "Comparative pricing, context window, latency band, and compliance posture across major LLM vendors for enterprise AI procurement decisions. Curated by Slavin AI for use in build-vs-buy and vendor-selection frameworks.",
    "methodology": "Public pricing as of 2026-06-14 (vendor pricing pages, not negotiated enterprise contracts). Context windows are documented maximum, not always production-recommended. Latency bands are p95 from public Anthropic, OpenAI, Google status page archives. Compliance is documented certification, not full audit verification."
  },
  "vendors": [
    {
      "id": "openai-frontier",
      "name": "OpenAI GPT-4 class (frontier)",
      "type": "managed-api",
      "model_family": "GPT-4",
      "pricing_usd_per_million_tokens": {
        "input": 5.00,
        "output": 15.00,
        "cached_input": 2.50
      },
      "context_window_tokens": 128000,
      "latency_p95_ms": 1500,
      "vendor_lock_in": "medium",
      "compliance": ["SOC 2 Type II", "GDPR DPA", "HIPAA via Azure"],
      "data_residency": ["US", "EU (Azure)", "Asia (Azure)"],
      "self_hosted_option": false,
      "vendor_url": "https://openai.com/api/pricing/",
      "best_for": ["complex reasoning", "agent and tool use", "structured output", "fast time-to-market"],
      "weak_for": ["strict data residency outside US/EU/Azure regions", "fine-grained latency control"]
    },
    {
      "id": "anthropic-frontier",
      "name": "Anthropic Claude (frontier)",
      "type": "managed-api",
      "model_family": "Claude 4",
      "pricing_usd_per_million_tokens": {
        "input": 3.00,
        "output": 15.00,
        "cached_input": 0.30
      },
      "context_window_tokens": 200000,
      "latency_p95_ms": 1600,
      "vendor_lock_in": "medium",
      "compliance": ["SOC 2 Type II", "GDPR DPA", "HIPAA via AWS Bedrock"],
      "data_residency": ["US", "EU (AWS)", "APAC (AWS)"],
      "self_hosted_option": false,
      "vendor_url": "https://www.anthropic.com/pricing",
      "best_for": ["long context", "refusal calibration", "code generation", "regulated environments"],
      "weak_for": ["latency-critical sub-300ms use cases", "non-AWS data residency"]
    },
    {
      "id": "google-gemini-frontier",
      "name": "Google Gemini (frontier)",
      "type": "managed-api",
      "model_family": "Gemini 2",
      "pricing_usd_per_million_tokens": {
        "input": 1.25,
        "output": 5.00,
        "cached_input": 0.31
      },
      "context_window_tokens": 1000000,
      "latency_p95_ms": 1800,
      "vendor_lock_in": "medium",
      "compliance": ["SOC 2 Type II", "ISO 27001", "GDPR DPA", "HIPAA"],
      "data_residency": ["Global GCP regions"],
      "self_hosted_option": false,
      "vendor_url": "https://ai.google.dev/pricing",
      "best_for": ["very long context", "multimodal", "lowest input price among frontier", "GCP integration"],
      "weak_for": ["agent reliability", "consistency across long sessions"]
    },
    {
      "id": "meta-llama-oss",
      "name": "Meta Llama 4 (open-source)",
      "type": "self-hosted-or-api",
      "model_family": "Llama 4",
      "pricing_usd_per_million_tokens": {
        "input": 0.20,
        "output": 0.20,
        "cached_input": null,
        "note": "Approximate via Groq/Together/Fireworks; self-hosted GPU cost varies."
      },
      "context_window_tokens": 128000,
      "latency_p95_ms": 800,
      "vendor_lock_in": "low",
      "compliance": ["depends on hosting provider"],
      "data_residency": ["self-hosted: anywhere", "managed: provider-dependent"],
      "self_hosted_option": true,
      "vendor_url": "https://llama.meta.com/",
      "best_for": ["self-hosted compliance", "high query volume amortization", "customization via fine-tuning"],
      "weak_for": ["frontier-tier reasoning vs OpenAI/Anthropic frontier", "complex agent flows"]
    },
    {
      "id": "mistral-large",
      "name": "Mistral Large (managed or self-hosted)",
      "type": "managed-api-or-self-hosted",
      "model_family": "Mistral Large 2",
      "pricing_usd_per_million_tokens": {
        "input": 2.00,
        "output": 6.00,
        "cached_input": null
      },
      "context_window_tokens": 128000,
      "latency_p95_ms": 1200,
      "vendor_lock_in": "low",
      "compliance": ["SOC 2 Type II", "GDPR DPA", "EU-hosted infrastructure available"],
      "data_residency": ["EU-first", "US (optional)"],
      "self_hosted_option": true,
      "vendor_url": "https://mistral.ai/pricing/",
      "best_for": ["EU data residency", "European public sector", "self-hosted option with managed fallback"],
      "weak_for": ["matching frontier reasoning of OpenAI/Anthropic top models"]
    },
    {
      "id": "alibaba-qwen-oss",
      "name": "Alibaba Qwen 3 (open-source)",
      "type": "self-hosted",
      "model_family": "Qwen 3",
      "pricing_usd_per_million_tokens": {
        "input": 0.15,
        "output": 0.45,
        "cached_input": null,
        "note": "Self-hosted; price reflects approximate GPU rental at scale."
      },
      "context_window_tokens": 131072,
      "latency_p95_ms": 700,
      "vendor_lock_in": "low",
      "compliance": ["depends on self-hosted environment"],
      "data_residency": ["anywhere"],
      "self_hosted_option": true,
      "vendor_url": "https://qwenlm.github.io/",
      "best_for": ["self-hosted compliance edge cases", "high-volume specific tasks after fine-tuning", "asian language tasks"],
      "weak_for": ["frontier-tier reasoning", "ecosystem maturity vs Llama"]
    }
  ],
  "use_cases_per_million_queries_usd": {
    "description": "Approximate cost per 1M queries with typical prompt/response sizes for enterprise use cases. Use as planning estimates, not commitments.",
    "rag_qa_500in_300out": {
      "openai-frontier": 7000,
      "anthropic-frontier": 6000,
      "google-gemini-frontier": 2125,
      "mistral-large": 2800,
      "meta-llama-oss-api": 160,
      "qwen-oss-selfhosted": 210
    },
    "customer_support_300in_200out": {
      "openai-frontier": 4500,
      "anthropic-frontier": 3900,
      "google-gemini-frontier": 1375,
      "mistral-large": 1800,
      "meta-llama-oss-api": 100,
      "qwen-oss-selfhosted": 135
    },
    "document_extraction_2000in_500out": {
      "openai-frontier": 17500,
      "anthropic-frontier": 13500,
      "google-gemini-frontier": 5000,
      "mistral-large": 7000,
      "meta-llama-oss-api": 500,
      "qwen-oss-selfhosted": 525
    }
  },
  "decision_guidance": {
    "if_strict_data_residency_152fz_or_eu_public_sector": ["mistral-large (EU)", "meta-llama-oss (self-hosted)", "qwen-oss-selfhosted"],
    "if_top_quality_no_residency_constraints": ["openai-frontier", "anthropic-frontier"],
    "if_high_volume_narrow_task": ["meta-llama-oss-api", "qwen-oss-selfhosted with fine-tune"],
    "if_long_context_priority": ["google-gemini-frontier (1M tokens)", "anthropic-frontier (200k)"],
    "if_lowest_latency": ["self-hosted oss with co-located GPU", "managed API can hit 500-800ms p50 but p95 spikes"]
  },
  "see_also": {
    "decision_framework": "https://www.slavin.ai/Compare-OpenAI-vs-Anthropic-vs-OpenSource.aspx",
    "rag_vs_finetune": "https://www.slavin.ai/Compare-RAG-vs-Fine-tuning.aspx",
    "vector_dbs": "https://www.slavin.ai/Compare-Vector-Databases.aspx",
    "calculator": "https://www.slavin.ai/LLM-Cost-Calculator.aspx",
    "governance_baseline": "https://www.slavin.ai/AI-Governance.aspx"
  }
}
