Model routing, backed by benchmark evidence.
TokenRoute compares prompt workloads across local, private, and BYOK cloud models, then turns the evidence into route decisions and paid benchmark intelligence.
The result includes recommendation, fallback order, score evidence, latency, and confidence.
A benchmark intelligence layer for AI model selection.
Not another generic gateway. TokenRoute decides what your gateway, app, or agent should route to.
Benchmark packs
Repeatable runs across candidate models with score, latency, cost, failures, and raw output evidence.
Route-decision API
Apps and agents ask which model to use for a workload under quality, latency, and cost constraints.
Policy exports
Push advisory fallback order and thresholds into gateways such as LiteLLM or your own router.
Benchmark intelligence
Paid plans include aggregate model/category intelligence from TokenRoute-owned benchmark corpuses.
Bring your models. Keep your stack.
TokenRoute is the glue layer between model catalogs, local connectors, gateways, CI, and production apps.
Make model changes defensible.
No blind routing
Every recommendation links back to benchmark evidence.
BYOK friendly
Use local, private, and cloud models without TokenRoute carrying inference spend.
Intelligence included
Paid plans get benchmark intelligence without customer prompt reuse.
Adoption-first pricing for model-routing teams.
Bring your own provider keys. Paid plans include benchmark intelligence, route-decision usage, and evidence history; provider inference remains BYOK/local.
Free
Useful trial for validating a real workload before committing.
Builder
RecommendedLow-friction plan for builders, small apps, and client experiments.
Team
Shared benchmark evidence for early AI product and platform teams.
Start with a benchmark pack, inspect the evidence, then use paid benchmark intelligence to choose model routes with more confidence.