# Model Recommendation Console

Stage: Preview

Audience: Buyers choosing models or API providers

## Summary

A decision console that maps use-case constraints to a model shortlist across quality, latency, price, context, privacy, and deployment surface.

## Buyer Problem

Model selection becomes noisy when every provider is evaluated through generic demos. The console starts from workload constraints and produces a shortlist with fallback routes and cost envelopes.

## Metrics

- Fit score
- Latency budget
- Monthly cost
- Fallback coverage

## Deliverables

- Model shortlist
- Fallback map
- Monthly cost envelope
- Pre-production test plan

## Buyer Questions

- Which model should handle the expensive path?
- Where can a cheaper router or fallback be used?
- What latency and privacy constraints change the answer?
- What benchmark evidence is still missing?

## Demo State

Preview decision console; next release should connect to live provider pricing and benchmark run imports.

Demo readiness: 82/100

Missing for live demo:
- Product walkthrough video
- Client-approved example
- Real run export

## Connected Evidence

- [Models, Agents & Hardware](/models)
- [Cost Efficiency Index](/leaderboards#cost-efficiency-index)
- [Cost curves article](/articles/cost-curves-for-frontier-reasoning-models)

## Visual Preview

![Model Recommendation Console live Studio preview screenshot](/reports/studio/previews/model-recommendation-console.png)