LLM technical matrix
Next layerRow-level comparison for context, spend, deployment and open-weight posture.
This page is intentionally lighter than the matrix. It exists to send you to the right LLM decision layer before the tables start repeating the same argument.
Boundary rule
Decision layers
Vendor, model, scenario and workflow
Models in matrix
Raw technical rows
Providers
Vendor posture lanes
Recipes live
Practical operating flows
Vendor
This is the vendor layer. Stay there until the operating posture is narrow enough.
Model
Use the matrix for context, price, deployment and open-weight details.
Scenario
Use it for coding, multimodal, long reasoning, cost-sensitive and local-open picks.
Operation
This is the practical layer for review loops, retrieval, browser workers and local-first flows.
Row-level comparison for context, spend, deployment and open-weight posture.
Vendor-level comparison for managed API, multimodal, self-host and price posture.
Scenario-first picks when the question is which model lane fits the task.
Operational playbooks for coding review, retrieval, browser flows and local-first execution.
| Layer | Primary question | Use when | Avoid when |
|---|---|---|---|
| Provider compare | Which vendor posture fits the problem? | You are still choosing between managed API, multimodal, self-host or router-friendly lanes. | The choice is already between concrete model rows. |
| LLM technical matrix | What do the rows look like technically? | You need context, spend, deployment and open-weight details before testing. | You still need a scenario-first or workflow-first recommendation. |
| Model fit radar | Which model lane fits this task fastest? | You need quick picks for coding, multimodal, long reasoning or cheap routing. | You need raw vendor or row-level detail first. |
| Workflow recipes | How should this lane run in practice? | Provider and model choice are narrow enough and the next problem is execution. | You still do not know what to buy or compare. |