{
  "name": "llm-model-comparison-2026",
  "title": "LLM Model Comparison for Enterprise Use Cases (2026)",
  "description": "Structured dataset comparing 16 large language models from 7 providers across 22 fields: pricing, benchmarks, context windows, latency, API features, and recommended enterprise use cases.",
  "homepage": "https://www.salttechno.ai/datasets/llm-model-comparison-2026/",
  "version": "Q1 2026 v2",
  "created": "2026-02-18",
  "licenses": [
    {
      "name": "CC-BY-4.0",
      "path": "https://creativecommons.org/licenses/by/4.0/",
      "title": "Creative Commons Attribution 4.0 International"
    }
  ],
  "contributors": [
    {
      "title": "Salt Technologies AI",
      "path": "https://www.salttechno.ai",
      "role": "publisher"
    }
  ],
  "keywords": [
    "llm comparison",
    "large language model",
    "gpt-4.1",
    "claude 4.5",
    "gemini 2.5",
    "llama 4",
    "deepseek",
    "llm pricing 2026",
    "ai model benchmark"
  ],
  "resources": [
    {
      "name": "llm-model-comparison-2026",
      "path": "data/llm-model-comparison-2026.csv",
      "format": "csv",
      "mediatype": "text/csv",
      "encoding": "utf-8",
      "schema": {
        "fields": [
          { "name": "model", "type": "string", "description": "Model name" },
          { "name": "provider", "type": "string", "description": "Company that created/offers the model" },
          { "name": "parameters_billions", "type": "string", "description": "Parameter count in billions, or Undisclosed" },
          { "name": "context_window", "type": "string", "description": "Maximum context window size in tokens" },
          { "name": "training_cutoff", "type": "string", "description": "Training data cutoff date" },
          { "name": "input_cost_per_1m_usd", "type": "number", "description": "Cost per 1M input tokens (USD)" },
          { "name": "output_cost_per_1m_usd", "type": "number", "description": "Cost per 1M output tokens (USD)" },
          { "name": "pricing_note", "type": "string", "description": "Additional pricing context and discounts" },
          { "name": "open_source", "type": "boolean", "description": "Whether model weights are publicly available" },
          { "name": "multimodal", "type": "boolean", "description": "Supports image/video/audio input" },
          { "name": "function_calling", "type": "boolean", "description": "Supports structured function/tool calling" },
          { "name": "json_mode", "type": "boolean", "description": "Supports guaranteed JSON output" },
          { "name": "streaming", "type": "boolean", "description": "Supports streaming token output" },
          { "name": "fine_tuning", "type": "boolean", "description": "Supports fine-tuning via API or weights" },
          { "name": "enterprise_ready", "type": "boolean", "description": "Has enterprise SLAs, SOC2, and support" },
          { "name": "mmlu_score", "type": "number", "description": "MMLU score (0-100), null if not published" },
          { "name": "humaneval_score", "type": "number", "description": "HumanEval code gen score (0-100), null if not published" },
          { "name": "math_score", "type": "number", "description": "MATH score (0-100), null if not published" },
          { "name": "mt_bench_score", "type": "number", "description": "MT-Bench score (0-10), null if not published" },
          { "name": "latency_ttft_ms", "type": "string", "description": "Time-to-first-token latency" },
          { "name": "throughput_tps", "type": "string", "description": "Tokens per second throughput range" },
          { "name": "best_for", "type": "string", "description": "Recommended enterprise use cases" }
        ]
      }
    }
  ]
}