Mistral Large 4 can be evaluated through a hosted API or its open weights. The current documentation describes a general-purpose multimodal model with a one-million-token context window.
Two parameter counts describe different things
The model card lists 1.05 trillion total and 52 billion active parameters. In a mixture-of-experts architecture, the full model and the active portion are different measures. The active count alone is not a complete hardware-capacity plan.
Start with the application requirement
Documented features include structured output, function calling, document question-answering and agent conversations. These describe integration options. First identify the input, output and tools the application actually requires.
Hosting changes the responsibility
The provider runs the model for API use. Running weights in another environment requires planning files, hardware and serving operations. The official documentation also supplies the licence and current access and pricing information.
Milo’s assessment
Let’s put the options side by side. Downloadable weights create a deployment choice, not an identical experience on every desktop. Task requirements and operating responsibility make the comparison more useful than availability alone.
