Model Mix
Break down Claude Code usage by model family (Opus / Sonnet / Haiku) from the Agent...
Install
npx skills add hoangsonww/Claude-Code-Agent-Monitor --skill model-mix -g -a claude-code -y- Repository
- hoangsonww/Claude-Code-Agent-Monitor1.1k
- Category
- AI and agents
- Updated
- 5d ago
- License
- MIT
- Context cost
- Lightabout 840 tokens
- Runs scripts
- No, instructions only
What it does
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.
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.
