Models & Providers
Selecting the right model for a specific task and budget.
What does models & providers cover?
Comparing foundation models, providers, pricing and capability trade-offs for business workloads.
Definitions in this cluster
Large language model
A large language model is a neural network trained on very large text corpora to predict the next token in a sequence…
Fine-tuning
Fine-tuning further trains an existing model on your own examples so it adopts a specific format, tone or…
Context window
The context window is the maximum amount of text — measured in tokens — a model can consider in a single request…
Token
A token is the unit of text a language model processes — roughly three-quarters of an English word. Model pricing…
Inference
Inference is the act of running a trained model to produce an output. In business terms it is the recurring per-request…
Guides & analysis
Choosing an LLM for Your Business: GPT vs Gemini vs Claude in 2026
A candid comparison of the leading LLMs for business use — tool-use, latency, multilingual quality, cost, and where each one loses.