Download datapackage.json from salttechno/LLM-Model-Comparison-2026: direct link, hf CLI and curl.
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https://huggingface.co/datasets/salttechno/LLM-Model-Comparison-2026/resolve/main/datapackage.json
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3.71 kB
| { | |
| "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" } | |
| ] | |
| } | |
| } | |
| ] | |
| } | |