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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"
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