LLMs · in Open-weight LLM stack
Meta AI for Open-weight LLM stack
Default open-weight model in the Open-weight LLM stack stack. Llama 3.x and 4 cover most general tasks. Hosted on Groq for fast inference, on Together for breadth, or self-hosted on your own GPUs via Ollama / vLLM. Open weights mean you keep the option to leave any provider.
· 1 weeks ago
Where Meta AI fits in the workflow
- 1Pick the model for the use case
Llama 3.x for general; Llama 4 for the heavy reasoning tasks; Mistral Large for EU + nuanced French/Spanish; Codestral when the task is code generation specifically.
- 2Pick the host
Don't self-host until you have to. Groq is fastest for Llama; Together is broadest. Mistral La Plateforme for hosted Mistral. Self-host only when data-residency or cost-at-scale forces you.
Cost in this stack
$10 (Groq / Together API)
Of the $15/mo hosted inference, low volume budget
Tool pricing
Free chat · Open weights · API via Groq/Together metered
Alternatives to Meta AI at this step
Other tools in the Open-weight LLM stack stack
See the full Open-weight LLM stack stack
Workflow, costs at three usage tiers, prompts, pitfalls.
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