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Get Started Free →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"
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 34% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -4% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 71% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -3% | 0% |
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.
/shogun-bloom-config to understand the landscapeOutput the reference tables below directly to the user. No tool calls required.
| 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 |
| 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).
| 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.
| 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 |
| 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.
| 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.
| 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 |
To generate a ready-to-paste capability_tiers YAML for your subscription:
/shogun-bloom-configOr tell the Shogun: "set up capability tiers for my subscription"
Other measured skills in the registry, with their headline benchmark lift.