ravimyakala/modelindex

ModelIndex — Monthly AI Cost Planner

ModelIndex helps teams plan realistic AI costs before shipping to production.

This Hugging Face Space demonstrates the core ModelIndex planning model using a small set of canonical scenarios.

What this demo shows

• —Scenario-based monthly AI cost estimation
• —Expected cost as the planning baseline
• —Best and Worst ranges to understand variance and risk
• —Explicit, transparent assumptions

How to read the results

Expected

• —Planned usage with normal variance
• —This is the number teams should plan against

Best

• —Optimistic conditions
• —Lower retries, smoother traffic

Worst

• —Compounding degraded behavior
• —Higher retries, bursts, and inefficiencies

These are not modes — they are context boundaries.

Why ModelIndex exists

Benchmarks and leaderboards do not reflect production usage.

Real systems have:

• —Uneven traffic
• —Retries and failures
• —Bursts and buffers
• —Long context windows
• —Caching inefficiencies

ModelIndex models this behavior explicitly so teams can make informed decisions.

What this Space is

• —A production planning demo
• —A transparent cost model
• —A decision-support surface

What this Space is not

• —A benchmark
• —A leaderboard
• —A prompt playground

Full Product

This Space is intentionally limited.

For full scenario configuration, model comparison, saved scenarios, and advanced controls, use the complete Cost Simulator:

👉 http://modelindex.io

Built for engineers, product teams, and AI owners planning real production systems.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference