name: shogun-model-list
description: >
All AI CLI tools × available models × required subscriptions × Bloom max capability.
Reference table for choosing which models to use in multi-agent-shogun.
Trigger: "model list", "what models", "model comparison", "which models can I use",
"モデル一覧", "モデル比較", "どのモデルが使える"
/shogun-model-list — Model Capability Reference
Overview
Displays a complete reference table of all AI CLI tools, models, required subscriptions,
and maximum Bloom cognitive level per model. Use this before configuring capability_tiers
in config/settings.yaml.
When to Use
- "What models can I use with my subscription?"
- "Which model handles L5 tasks?"
- "Compare Claude vs Codex model tiers"
- "Show me all models" / "モデル一覧"
- Before running
/shogun-bloom-config to understand the landscape
Instructions
Output the reference tables below directly to the user. No tool calls required.
Bloom's Taxonomy — Quick Reference
| Level |
Category |
Task Examples |
| L1 |
Remember |
File copy, template apply, data format |
| L2 |
Understand |
Summarize, explain, translate |
| L3 |
Apply |
Implement known patterns, generate boilerplate |
| L4 |
Analyze |
Debug, code review, root cause analysis |
| L5 |
Evaluate |
Architecture review, design trade-off judgment |
| L6 |
Create |
Novel architecture, requirements design, strategy |
Claude Code (Anthropic)
Subscription Plans
| Plan |
Monthly |
Opus 4.6 |
Sonnet 4.6 |
Haiku 4.5 |
Extended Thinking |
| Free |
$0 |
✗ |
✓ |
✓ |
✗ |
| Pro |
$20 |
✓ |
✓ |
✓ |
✓ |
| Max 5x |
$100 |
✓ |
✓ |
✓ |
✓ |
| Max 20x |
$200 |
✓ |
✓ |
✓ |
✓ |
Pro/Max 5x/Max 20x have the same model access. The difference is usage quota (5x/20x = multiplier of Pro).
Claude Models × Bloom Capability
| Model |
Bloom Max |
Best For |
Notes |
claude-haiku-4-5-20251001 |
L3 |
High-volume L1-L3 tasks, fast responses |
$1/$5/M; SWE-bench 73.3% (4pp below Sonnet 4.5); extended thinking available |
claude-sonnet-4-6 |
L5 |
Code review, analysis, orchestration |
Best balance — $3/$15/M; SWE-bench 79.6%, 1M context |
claude-opus-4-6 |
L6 |
Novel design, strategy, architecture |
$5/$25/M; SWE-bench 80.8% (only 1.2pp above Sonnet 4.6); use for true L6 only |
Extended Thinking (available Pro+): Adds ~1 Bloom level of effective capability on complex reasoning tasks.
Fixed Agent Assignments (Recommended)
| Agent |
Recommended Model |
Bloom Use |
Reason |
| Shogun (You) |
claude-opus-4-6 |
L6 |
Strategic decisions, final review |
| Karo (Manager) |
claude-sonnet-4-6 |
L4-L5 |
Task orchestration; Opus is overkill here |
| Gunshi (Strategist) |
claude-opus-4-6 |
L5-L6 |
Deep QC, architecture evaluation |
| Ashigaru 1–7 |
Configured via capability_tiers |
L1-L3 |
Workers — routed by Bloom level |
OpenAI Codex CLI
Subscription Plans
| Plan |
Monthly |
Spark |
gpt-5.3-codex |
codex-mini |
codex-max |
| Free / Go ($8) |
$0–$8 |
✗ |
✗ (limited) |
✗ |
✗ |
| Plus |
$20 |
✗ (Pro only) |
✓ |
✓ |
✓ |
| Pro |
$200 |
✓ |
✓ |
✓ |
✓ |
gpt-5.3-codex-spark requires ChatGPT Pro ($200). ChatGPT Plus ($20) does NOT include Spark.
Codex Models × Bloom Capability
| Model |
Bloom Max |
Best For |
Notes |
gpt-5.3-codex-spark |
L3 |
High-volume L1-L3 tasks at 1000+ tok/sec |
Separate quota from gpt-5.3-codex; blazing fast |
gpt-5-codex-mini |
L2 |
Minimal quota usage for trivial tasks |
Lightweight alternative to Spark |
gpt-5.3-codex |
L4 |
Analysis, debugging, code review |
Standard workhorse |
gpt-5.1-codex-max |
L5 |
Complex analysis, design evaluation |
Highest Codex capability |
L6 gap: No Codex model reliably handles novel creative design (L6). For L6 tasks, Claude Opus is recommended.
Capability Summary (All Models, Cross-CLI)
| Model |
CLI |
Bloom Max |
Min Subscription |
Notes |
gpt-5-codex-mini |
Codex CLI |
L2 |
ChatGPT Plus |
Lightweight, minimal quota |
claude-haiku-4-5-20251001 |
Claude Code |
L3 |
Claude Free |
Best Claude cost-efficiency; SWE-bench 73.3% |
gpt-5.3-codex-spark |
Codex CLI |
L3 |
ChatGPT Pro |
1000+ tok/s; Terminal-Bench 58.4% |
gpt-5.3-codex |
Codex CLI |
L4 |
ChatGPT Plus |
Terminal-Bench 77.3%; 400K+ context |
claude-sonnet-4-6 |
Claude Code |
L5 |
Claude Free |
$3/$15/M; SWE-bench 79.6%; 1M context; math +27pt vs Sonnet 4.5 |
gpt-5.1-codex-max |
Codex CLI |
L5 |
ChatGPT Plus |
Highest Codex capability |
claude-opus-4-6 |
Claude Code |
L6 |
Claude Pro |
$5/$25/M; SWE-bench 80.8%; reserve for true L6 tasks |
Next Step
To generate a ready-to-paste capability_tiers YAML for your subscription:
/shogun-bloom-config
Or tell the Shogun: "set up capability tiers for my subscription"
Converted and distributed by TomeVault — claim your Tome and manage your conversions.
1---2name: yohey-w-multi-agent-shogun-shogun-model-list3description: ---4---5---6name: shogun-model-list7description: >8 All AI CLI tools × available models × required subscriptions × Bloom max capability.9 Reference table for choosing which models to use in multi-agent-shogun.10 Trigger: "model list", "what models", "model comparison", "which models can I use",11 "モデル一覧", "モデル比較", "どのモデルが使える"12---1314# /shogun-model-list — Model Capability Reference1516## Overview1718Displays a complete reference table of all AI CLI tools, models, required subscriptions,19and maximum Bloom cognitive level per model. Use this before configuring `capability_tiers`20in `config/settings.yaml`.2122## When to Use2324- "What models can I use with my subscription?"25- "Which model handles L5 tasks?"26- "Compare Claude vs Codex model tiers"27- "Show me all models" / "モデル一覧"28- Before running `/shogun-bloom-config` to understand the landscape2930## Instructions3132Output the reference tables below directly to the user. No tool calls required.3334---3536## Bloom's Taxonomy — Quick Reference3738| Level | Category | Task Examples |39|-------|----------|---------------|40| L1 | Remember | File copy, template apply, data format |41| L2 | Understand | Summarize, explain, translate |42| L3 | Apply | Implement known patterns, generate boilerplate |43| L4 | Analyze | Debug, code review, root cause analysis |44| L5 | Evaluate | Architecture review, design trade-off judgment |45| L6 | Create | Novel architecture, requirements design, strategy |4647---4849## Claude Code (Anthropic)5051### Subscription Plans5253| Plan | Monthly | Opus 4.6 | Sonnet 4.6 | Haiku 4.5 | Extended Thinking |54|------|---------|----------|------------|-----------|-------------------|55| Free | $0 | ✗ | ✓ | ✓ | ✗ |56| Pro | $20 | ✓ | ✓ | ✓ | ✓ |57| Max 5x | $100 | ✓ | ✓ | ✓ | ✓ |58| Max 20x | $200 | ✓ | ✓ | ✓ | ✓ |5960> Pro/Max 5x/Max 20x have the same model access. The difference is usage quota (5x/20x = multiplier of Pro).6162### Claude Models × Bloom Capability6364| Model | Bloom Max | Best For | Notes |65|-------|-----------|----------|-------|66| `claude-haiku-4-5-20251001` | **L3** | High-volume L1-L3 tasks, fast responses | $1/$5/M; SWE-bench 73.3% (4pp below Sonnet 4.5); extended thinking available |67| `claude-sonnet-4-6` | **L5** | Code review, analysis, orchestration | Best balance — $3/$15/M; SWE-bench 79.6%, 1M context |68| `claude-opus-4-6` | **L6** | Novel design, strategy, architecture | $5/$25/M; SWE-bench 80.8% (only 1.2pp above Sonnet 4.6); use for true L6 only |6970> **Extended Thinking** (available Pro+): Adds ~1 Bloom level of effective capability on complex reasoning tasks.7172### Fixed Agent Assignments (Recommended)7374| Agent | Recommended Model | Bloom Use | Reason |75|-------|------------------|-----------|--------|76| Shogun (You) | `claude-opus-4-6` | L6 | Strategic decisions, final review |77| Karo (Manager) | `claude-sonnet-4-6` | L4-L5 | Task orchestration; Opus is overkill here |78| Gunshi (Strategist) | `claude-opus-4-6` | L5-L6 | Deep QC, architecture evaluation |79| Ashigaru 1–7 | Configured via `capability_tiers` | L1-L3 | Workers — routed by Bloom level |8081---8283## OpenAI Codex CLI8485### Subscription Plans8687| Plan | Monthly | Spark | gpt-5.3-codex | codex-mini | codex-max |88|------|---------|-------|---------------|------------|-----------|89| Free / Go ($8) | $0–$8 | ✗ | ✗ (limited) | ✗ | ✗ |90| Plus | $20 | ✗ (**Pro only**) | ✓ | ✓ | ✓ |91| Pro | $200 | ✓ | ✓ | ✓ | ✓ |9293> **gpt-5.3-codex-spark requires ChatGPT Pro ($200).** ChatGPT Plus ($20) does NOT include Spark.9495### Codex Models × Bloom Capability9697| Model | Bloom Max | Best For | Notes |98|-------|-----------|----------|-------|99| `gpt-5.3-codex-spark` | **L3** | High-volume L1-L3 tasks at 1000+ tok/sec | Separate quota from gpt-5.3-codex; blazing fast |100| `gpt-5-codex-mini` | **L2** | Minimal quota usage for trivial tasks | Lightweight alternative to Spark |101| `gpt-5.3-codex` | **L4** | Analysis, debugging, code review | Standard workhorse |102| `gpt-5.1-codex-max` | **L5** | Complex analysis, design evaluation | Highest Codex capability |103104> **L6 gap**: No Codex model reliably handles novel creative design (L6). For L6 tasks, Claude Opus is recommended.105106---107108## Capability Summary (All Models, Cross-CLI)109110| Model | CLI | Bloom Max | Min Subscription | Notes |111|-------|-----|-----------|-----------------|-------|112| `gpt-5-codex-mini` | Codex CLI | L2 | ChatGPT Plus | Lightweight, minimal quota |113| `claude-haiku-4-5-20251001` | Claude Code | **L3** | Claude Free | Best Claude cost-efficiency; SWE-bench 73.3% |114| `gpt-5.3-codex-spark` | Codex CLI | L3 | **ChatGPT Pro** | 1000+ tok/s; Terminal-Bench 58.4% |115| `gpt-5.3-codex` | Codex CLI | L4 | ChatGPT Plus | Terminal-Bench 77.3%; 400K+ context |116| `claude-sonnet-4-6` | Claude Code | L5 | Claude Free | $3/$15/M; SWE-bench 79.6%; 1M context; math +27pt vs Sonnet 4.5 |117| `gpt-5.1-codex-max` | Codex CLI | L5 | ChatGPT Plus | Highest Codex capability |118| `claude-opus-4-6` | Claude Code | L6 | Claude Pro | $5/$25/M; SWE-bench 80.8%; reserve for true L6 tasks |119120---121122## Next Step123124To generate a ready-to-paste `capability_tiers` YAML for your subscription:125126```127/shogun-bloom-config128```129130Or tell the Shogun: "set up capability tiers for my subscription"131132---133> Converted and distributed by [TomeVault](https://tomevault.io/claim/yohey-w) — claim your Tome and manage your conversions.134<!-- tomevault:4.0:skill_md:2026-04-11 -->
tomevault-io