Layer 02 — Models
The best model in the world, per request
Every request goes to the model best suited to it: frontier reasoning for hard problems, faster models for everything else. One endpoint, no lock-in.
“What’s our uptime?”xfast
“Draft a reply”fast
“Chart signup trends”balanced
“Root-cause the 401s”deep
TierModelBest forp50Cost
- xfastgpt-5.6-luna-lowlookups & FAQs121ms1×
- fastgemini-3.7-flashsummaries & drafts180ms1.3×
- balancedgpt-5.6-sol-mediumanalysis & synthesis388ms~11×
- deepfable-5-xhighhard reasoning412ms~17×
Adaptive intelligence
Every request, scored and routed.
You don't pick a model per feature and hope. The router reads each request and sends it where it will be answered best, fastest, and cheapest, in that order.
Scored per request
Every request is scored and routed to a tier: xfast, fast, balanced, or deep. The hard problems get frontier reasoning; the lookups never wait behind them.
Best available, not best known
Routing targets whatever wins the job today, frontier or open-weight. When a better model ships, your traffic finds it.
Mid-stream failover
Provider 500s and rate limits reroute in flight. The user never sees a retry, and quality never quietly degrades.
Output quality
The ceiling is always the frontier.
Routing isn't a cost trick. It's how you get the best possible answer to every request: frontier intelligence where it matters, and never a mismatched model anywhere.
- 01
Think outcomes, not models
Describe the job. The router handles which model delivers the strongest result today.
- 02
The query picks the model
Intent, difficulty, and latency budget are scored on every request before it leaves Adapt.
- 03
The frontier stays open
Frontier and open-weight releases join the pool as they ship. Your endpoint never changes.
Cost
Cut token spend by up to 80%.
Most requests don't need frontier reasoning; they need a fast, cheap model that gets them right. Route the lookups and drafts to 1x-cost models, cache what repeats, and save the expensive tokens for the problems that earn them.
Token spend
everything on frontier1.0× baseline
adaptively routedup to 80% less
lookups at 1× · drafts at 1.3× · frontier only where it earns ~17×
Zero lock-in
The best model in 12 months hasn't shipped yet.
The leaderboard changes every quarter; your architecture shouldn't. With a neutral router in between, model choice stops being a bet you can lose and becomes a setting.
Best model right now
- 1fable-5-xhighhard reasoning
- 2gpt-5.6-sol-xhighanalysis & synthesis
- 3kimi-k3-maxopen-weight reasoning
- 4opus-5-highagentic coding
Neutral by design
Adapt routes to models; it does not sell you one. There is no incentive anywhere in the stack to steer your traffic.
A model is a string
Not an architecture decision, not a migration. Switching providers is a config change, shipped in an afternoon.
Future-proof by default
Whatever leads the field in 3, 6, or 12 months, your integration already speaks its language.
Never bet wrong
on a model.
The best available intelligence for every request, at the lowest cost that gets it right.