Model Matrix Skill

Use this skill to choose the best model per category using a blended score and policy constraints.

Core Policy

• Use the cheapest model that preserves quality.
• If Anthropic is excluded, auto-promote #2.
• Only swap model routes when score delta is material and confidence is high.

Weights

• Real task evals: 45%
• Benchmarks: 30%
• Sentiment (X/Reddit): 20%
• Cost: 5%

Effective Routing (Current)

• Research / Planning: Gemini 3.1 Pro
• Complex Coding / Complex Tasks / Enterprise Discussion: GPT-5.3 Codex
• Routine Coding + Repeat Cron Ops: GPT-5-mini
• Citizen Sentiment (X): Grok (x_search)
• Photo/Image: Gemini image stack
• Video intelligence trends: Grok ecosystem

Daily Scorecard Template

| Category | Real Eval (45) | Bench (30) | Sentiment (20) | Cost (5) | Raw Score (/100) | Raw #1 | Effective #1 | Confidence | |---|---:|---:|---:|---:|---:|---|---|---:| | Research | | | | | | | | | | Planning | | | | | | | | | | Coding (complex) | | | | | | | | | | Coding (routine) | | | | | | | | | | Creative Writing | | | | | | | | | | Enterprise Discussion | | | | | | | | | | Citizen Sentiment (X) | | | | | | | | |

Notes

• If Anthropic returns, include it in raw ranking and let policy choose effective winner.
• MiniMax remains trial-only unless quality holds over 7 days.