cff-version: 1.2.0
title: "LLM Model Comparison for Enterprise Use Cases (2026)"
message: "If you use this dataset, please cite it using the metadata from this file."
type: dataset
authors:
  - name: "Salt Technologies AI"
    website: "https://www.salttechno.ai"
    city: "United States"
repository-code: "https://github.com/salttechno/llm-model-comparison-2026"
url: "https://www.salttechno.ai/datasets/llm-model-comparison-2026/"
abstract: >-
  Structured dataset comparing 16 large language models across 22 fields
  for enterprise use cases in 2026. Covers GPT-4.1, Claude 4.5, Gemini 2.5,
  Llama 4, DeepSeek V3/R1, Mistral Large 3, and Command A from 7 providers.
  Includes pricing per million tokens, benchmark scores (MMLU, HumanEval,
  MATH, MT-Bench), context windows up to 10M tokens, latency measurements,
  API feature flags, and recommended use cases. Based on official provider
  documentation and validated against 100+ production deployments.
  Published by Salt Technologies AI under CC BY 4.0.
keywords:
  - llm comparison
  - large language model
  - gpt-4.1
  - claude 4.5
  - gemini 2.5
  - llama 4
  - deepseek
  - mistral
  - llm pricing
  - llm benchmark
  - ai model comparison 2026
  - enterprise ai
license: "CC-BY-4.0"
version: "Q1 2026 v2"
date-released: "2026-02-18"