The AI models that can hold the most text at once, largest context window first. The largest listed is Llama 4 Scout (Meta) at up to 10M tokens. A larger window lets a model reason over more of your documents, code, or conversation in a single call.
ModelProviderContextInput /MOutput /MAccess
Llama 4 ScoutEfficientVery long context tasks and efficient on device or single GPU deployment.
Of the models Vikshy tracks, Llama 4 Scout (Meta) has the largest listed context window, up to 10M tokens. Context is how much text (roughly, words plus code plus formatting) a model can consider at once.
Does a bigger context window mean a better model?
Not on its own. A large window helps with long documents and codebases, but capability, latency, and price still matter. Compare those in the table above.