Preferences > Benchmarks: Model Routing for How Teams Actually Build
Official Schedule Context
- Date/time: 2026-07-01 · 12:05pm-12:25pm
- Track/room: AI Architects: AI Factories · Leadership 2
- Speaker(s): Archana Kamath, Tyler Gillam
- Session type/status: session · confirmed
Official Description
There is no best model. There's only the right model for a given task, and the right model depends
on your team's preferences, not a benchmark score. This talk makes the case for preference-aligned
routing: choosing models by the constraints that actually matter — cost, latency, task type, model
preference — instead of a single leaderboard number. We'll demo a sub-200ms routing decision running
on a purpose-built 30B MoE model with no application code changes, walk through real coding
workflows routing most traffic to open models without losing accuracy, and show where this goes
next: evals, caching, and personalization.
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