# Model Mix

Break down Claude Code usage by model family (Opus / Sonnet / Haiku) from the Agent...

- Repository: https://github.com/hoangsonww/Claude-Code-Agent-Monitor (1136 stars)
- Category: AI and agents
- License: MIT
- Last updated: 2026-10-31
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -g -a claude-code -y`
Codex: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -g -a codex -y`
Cursor: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -g -a cursor -y`
Gemini CLI: `npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add hoangsonww/Claude-Code-Agent-Monitor`

## Description

Break down Claude Code usage by model family (Opus / Sonnet / Haiku) from the Agent Monitor dashboard, each family's share of tokens, share of cost, and the spots where an expensive model is doing cheap work. Pulls per-model token and cost splits from /api/pricing/cost, current rates from /api/pricing, fleet token totals from /api/analytics, and per-session model assignment from /api/sessions. Use when deciding model routing or whether to downshift work to a cheaper tier.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Model Mix

See where your tokens and dollars go by model family, and where to re-route work.

## Input

The user provides: **$ARGUMENTS**

This may be: empty (analyze the whole fleet), "today" / "this week" / a date range, or a focus like "where is Opus overused?". When empty, analyze all data from `/api/pricing/cost` and `/api/sessions`.

## Data Sources

| Endpoint | Returns |
|----------|---------|
| `GET /api/pricing/cost` | `{ total_cost, breakdown: [{ model, input_tokens, output_tokens, cache_read_tokens, cache_write_tokens, cost, matched_rule }] }`, per-model token and cost split |
| `GET /api/pricing` | `{ pricing: [{ model_pattern, display_name, input_per_mtok, output_per_mtok, cache_read_per_mtok, cache_write_per_mtok }] }`, rates per family |
| `GET /api/analytics` | `tokens` totals (total_input, total_output, total_cache_read, total_cache_write, baselines pre-summed), `agent_types` for delegation context |
| `GET /api/sessions?limit=200` | Session list, model, cwd, started_at, ended_at, inline `cost`, metadata (JSON: thinking_blocks, turn_count, total_turn_duration_ms, usage_extras) |

### How families and rates work

Map each `model` in the cost breakdown to a family from its `matched_rule` / `display_name`:

| Family | Input $/Mtok | Output $/Mtok | Cache Read $/Mtok | Cache Write $/Mtok |
|--------|-------------|--------------|-------------------|-------------------|
| Opus 4.5/4.6 | $5 | $25 | $0.50 | $6.25 |
| Sonnet 4/4.5/4.6 | $3 | $15 | $0.30 | $3.75 |
| Haiku 4.5 | $1 | $5 | $0.10 | $1.25 |

`cost = (tokens / 1M) × rate_per_mtok` summed over the 4 token types; longest `model_pattern` wins. Opus output costs ~5× Sonnet and ~5× Haiku per token, so a family's **cost share routinely exceeds its token share**, that gap is the routing signal.

## Report Sections

The rest: https://github.com/hoangsonww/Claude-Code-Agent-Monitor/blob/HEAD/plugins/ccam-analytics/skills/model-mix/SKILL.md