Methodology
Eligible candidates first pass capability and context gates. The economy route favors known low token cost; the premium route favors published performance and provider coverage. The workload mix produces a blended estimate.
Model Selection
AI Model Router Planner
Design a two-tier model routing policy from traffic mix, context, capability, price, and benchmark rank.
Interactive Tool
Build a Scenario
WorkloadBoth routes must pass this capability gate.
| Result | Value | How to read it |
|---|---|---|
| Economy route | Llama-3.1-8B-Instruct | Meta · $0.05 / 1M input |
| Premium route | Claude Fable 5 | Anthropic · published rank 1 |
| Economy allocation | 80% | Routine traffic share. |
| Premium allocation | 20% | Difficult traffic share. |
| Blended monthly cost | $2,026.40 | List-price token estimate across the two routes. |
Routing Sketch
Send requests that pass the confidence and complexity gate to Llama-3.1-8B-Instruct. Escalate low-confidence, high-complexity, or failed requests to Claude Fable 5. Preserve one fallback and log the route decision.
This is a planning tool. It does not execute traffic, hold provider keys, measure classifier accuracy, or provide a production routing gateway.
Inputs
What the Calculation Needs
| Input | How it is used |
|---|---|
| Workload | The capability gate applied to both routing tiers. |
| Difficult traffic share | Requests reserved for the premium route. |
| Context and volume | Minimum context plus monthly input and output tokens. |
| Quality priority | How strongly published benchmark rank influences the premium route. |
How to Interpret the Result
Use this as a policy sketch, then validate a real classifier and fallback path on labeled production examples. The page does not execute or proxy traffic.
Boundaries
What the Result Does Not Prove
- Routing errors can cost more than using one model.
- Benchmark rank may not represent the routed task.
- Provider reliability, residency, latency, and rate limits require separate controls.
Catalog values retain their source and freshness on the linked model, provider, benchmark, or comparison page. Editable scenario assumptions are not Model Markets measurements.
Continue the Analysis
Related Tools
| Tool | Next question |
|---|---|
| Model Selector | Turn workload constraints into a short, inspectable model shortlist instead of a universal best-model claim. |
| Price vs Performance | Screen for models that combine useful published performance with acceptable token economics. |
| Rate Limit Calculator | Size an AI API quota from peak behavior rather than monthly averages. |
Questions
Model Router FAQs
What does the AI Model Router Planner calculate?+
Split routine and difficult requests across eligible models without pretending one model is optimal for every call. It returns suggested economy and premium routes, traffic allocation, blended cost, and explicit routing rules.
Does the AI Model Router Planner use current model data?+
Where the calculation needs model facts, it uses the current Model Markets catalog snapshot updated 2026-09-02. User-entered assumptions remain clearly editable, and unsupported values stay unknown rather than being inferred.
What should I verify before using the AI Model Router Planner result?+
Routing errors can cost more than using one model. Benchmark rank may not represent the routed task. Provider reliability, residency, latency, and rate limits require separate controls. Open the linked canonical records and primary sources before making a production or purchasing decision.