An aggregation-first routing layer that helps teams try many model families quickly.
OpenRouter vs Together AI often shows up in the same shortlist, but they solve different problems.
Teams often evaluate both when looking for a unified entry point, but one is more aggregator-like while the other feels closer to inference supply and infrastructure.
A more infrastructure-like inference route for teams thinking more seriously about supply and technical depth.
If you mainly want to try many routes quickly, OpenRouter is often the cleaner first door.
If you are already thinking about supply depth, inference characteristics, and infrastructure choices, Together deserves deeper evaluation.
Leave real usage notes, not another benchmark chart
Share what happened in actual work: which model felt steadier, which one helped with coding, review, writing, translation, or long-context tasks.