| 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" |
|
|
