Model Quick Reference
Your at-a-glance guide to choosing the right AI model for every task.
Quick Selection Guide
Need to decide in 10 seconds?
| Your Task | Use This Model |
|---|---|
| Quick email or translation | Standard |
| Regular business analysis | Thinking Mini |
| Complex strategic work | Thinking – Large |
| Excel/CSV file analysis | Data Analysis |
| PDF or Word document review | Document Analysis |
| Current news or market data | Web Search (BASIC plan) |
Complete Model Comparison Table
| Model | Speed | Cost | Context Window | Best For | Available On |
|---|---|---|---|---|---|
| Standard | ⚡⚡⚡ Fast | 💰 Low | 32k tokens (~24k words) | Chat, email, translation, quick tasks | FREE, LIGHT, BASIC |
| Thinking Mini | ⚡⚡ Medium | 💰💰 Medium | 64k tokens (~48k words) | Daily analysis, reports, reasoning | LIGHT, BASIC |
| Thinking – Large | ⚡ Slower | 💰💰💰 High | 200k tokens (~150k words) | Strategic analysis, complex documents | BASIC |
| Data Analysis | ⚡⚡ Medium | 💰💰 Medium | 64k tokens | CSV, Excel, numerical data | LIGHT, BASIC |
| Document Analysis | ⚡⚡ Medium | 💰💰 Medium | 128k tokens (~96k words) | PDFs, Word docs, contracts | LIGHT, BASIC |
| Web Search | ⚡⚡ Medium | 💰💰 Medium | 32k tokens | Current information, research | BASIC only |
Legend:
- ⚡⚡⚡ = Responses in seconds
- ⚡⚡ = Balanced speed
- ⚡ = Takes time but worth it for complex tasks
- 💰 = Minimal cost per request
- 💰💰 = Moderate cost
- 💰💰💰 = Higher cost (use for important tasks)
Model Profiles - One Page
Standard General Purpose
When to use:
- Email drafting and responses
- Text translation (DE/FR/IT/EN)
- Simple summarization
- Quick questions
- Content formatting
- Basic writing tasks
Strengths:
- Very fast response time
- Low cost per token
- Good for iteration
- Excellent multilingual support
Limitations:
- Less depth in complex analysis
- Shorter context window
- Not ideal for long documents
Typical use: "Draft a professional email thanking client for meeting"
Thinking Mini
When to use:
- Business memos and reports
- Meeting summaries
- Data interpretation
- Comparative analysis
- Decision support
- Regular analytical tasks
Strengths:
- Balanced reasoning depth and speed
- Good analytical capabilities
- Medium context window
- Cost-effective for daily use
Limitations:
- Not as deep as Thinking – Large
- May struggle with very complex multi-step reasoning
Typical use: "Analyze this sales data and identify top 3 trends"
Thinking – Large
When to use:
- Strategic planning documents
- Complex financial analysis
- Multi-document synthesis
- High-stakes client deliverables
- Detailed research
- Long-form content creation
Strengths:
- Deepest reasoning capability
- Largest context window (200k tokens)
- Handles very complex tasks
- Excellent for comprehensive analysis
Limitations:
- Slower response time
- Higher cost per request
- Overkill for simple tasks
Typical use: "Create strategic analysis from these 5 reports totaling 100 pages"
Data Analysis
When to use:
- Spreadsheet analysis
- CSV file processing
- Sales/financial data review
- Trend identification
- Statistical summaries
- Numerical calculations
Strengths:
- Optimized for structured data
- Understands tables and formulas
- Good with numbers
- Identifies patterns in data
Limitations:
- Less effective on unstructured text
- Not designed for creative writing
Typical use: "Analyze this monthly sales CSV and identify products declining >10%"
Document Analysis
When to use:
- PDF summarization
- Contract review
- Report analysis
- Multi-document comparison
- Information extraction
- Document due diligence
Strengths:
- Handles long PDFs well
- Good at extraction
- Understands document structure
- Large context window (128k)
Limitations:
- Not optimized for data/spreadsheets
- Better for reading than creating
Typical use: "Extract key obligations from this 50-page service contract"
Web Search
When to use:
- Market research
- Current news summaries
- Recent industry developments
- Fact-checking current events
- Competitive intelligence
- Real-time information needs
Strengths:
- Access to current web information
- Can cite recent sources
- Combines search with reasoning
- Swiss market focus possible
Limitations:
- Only available on BASIC plan
- Results depend on search quality
- Not a replacement for deep research
Typical use: "Summarize major Swiss fintech developments this month"
Decision Tree
Start here: What's your primary need?
1. Is your task about current/recent events?
- YES → Web Search (BASIC plan required)
- NO → Continue to #2
2. Are you working with data files (CSV, Excel)?
- YES → Data Analysis
- NO → Continue to #3
3. Are you working with documents (PDF, Word)?
- YES → Document Analysis (for reading) or Thinking Large (for analysis)
- NO → Continue to #4
4. How complex is the reasoning required?
- Simple (email, translation, quick question) → Standard
- Moderate (business memo, data review, analysis) → Thinking Mini
- Complex (strategy, synthesis, critical decisions) → Thinking – Large
Usage Patterns by Professional Role
Asset Manager / Wealth Management
Daily: Standard (emails), Web Search (market news)
Weekly: Thinking Mini (client letters), Data Analysis (portfolio screening)
Monthly: Thinking – Large (investment memos), Document Analysis (research reports)
Retail Business Owner
Daily: Standard (customer emails), Data Analysis (quick sales check)
Weekly: Data Analysis (inventory), Thinking Mini (marketing content)
Monthly: Thinking Mini (performance reports), Thinking – Large (strategic planning)
Professional Services (Legal, Consulting)
Daily: Standard (client emails), Thinking Mini (memos)
Weekly: Document Analysis (contract review), Thinking Large (proposals)
Monthly: Thinking – Large (research synthesis), Web Search (regulatory updates)
Executive / CEO
Daily: Standard (communications), Web Search (news)
Weekly: Thinking Mini (team updates)
Monthly: Thinking – Large (board materials), Document Analysis (strategic review)
CFO / Finance Team
Daily: Standard (emails)
Weekly: Data Analysis (variance reports), Thinking Mini (commentary)
Monthly: Thinking – Large (board packs), Data Analysis (budget analysis)
Cost Optimization Strategies
Start Cheap, Upgrade When Needed
Workflow pattern:
- Draft with Standard or Thinking Mini
- Review the output
- Refine with same model if good enough
- Upgrade to Thinking – Large only if more depth needed
Example:
Round 1 (Standard): "Draft proposal outline" → Fast, cheap outline
Round 2 (Thinking Mini): "Expand section 3" → More detail added
Round 3 (Thinking – Large): "Add strategic analysis" → Deep insights only where needed
Result: 70% cost savings vs. using Thinking – Large for everything
Right-Size Your Model Choice
Cost comparison for same task:
- Standard: 1x cost
- Thinking Mini: 3x cost
- Thinking – Large: 8x cost
Use expensive models strategically:
- Client-facing deliverables
- High-stakes decisions
- Complex analysis where quality matters most
Use cheaper models freely:
- Internal communications
- Rough drafts
- Exploratory work
- Iteration and refinement
Batch Similar Tasks
Efficient batching:
- Process all emails in one session (Standard)
- Analyze all data files together (Data Analysis)
- Review all contracts consecutively (Document Analysis)
Why it saves:
- Maintains context
- Reduces switching time
- Allows pattern reuse
Context Window Guide
What Fits in Each Model?
Standard (32k tokens ≈ 24,000 words):
- ~50 pages of text
- ~100 emails
- Short to medium reports
Thinking Mini (64k tokens ≈ 48,000 words):
- ~100 pages of text
- Multiple quarterly reports
- Medium-length contracts
Document Analysis (128k tokens ≈ 96,000 words):
- ~200 pages of text
- Long contracts or manuals
- Multiple related documents
Thinking – Large (200k tokens ≈ 150,000 words):
- ~300 pages of text
- Comprehensive research projects
- Multiple large documents for comparison
Data Analysis (64k tokens):
- Large spreadsheets (thousands of rows)
- Multiple CSV files
- Complex financial models
Practical tip: If your document exceeds the context window, either:
- Split it into sections and analyze separately
- Upgrade to a model with larger context window
- Extract and upload only the relevant portions
Quality Indicators
When Standard is Enough
✅ Output is accurate and appropriate
✅ Tone and style are correct
✅ Task is straightforward
✅ Speed matters more than depth
When to Upgrade to Thinking Mini
⚠️ Standard output is too generic
⚠️ Need more analytical depth
⚠️ Comparative analysis required
⚠️ Multiple factors to consider
When to Use Thinking – Large
🔴 Thinking Mini lacks strategic insight
🔴 High-stakes client deliverable
🔴 Complex multi-step reasoning needed
🔴 Synthesizing many sources
🔴 Critical business decision
Speed Benchmarks
Typical response times (approximate):
| Model | Short Prompt | Medium Prompt | Long Document |
|---|---|---|---|
| Standard | 2-5 sec | 5-10 sec | 10-20 sec |
| Thinking Mini | 5-10 sec | 10-20 sec | 20-40 sec |
| Thinking – Large | 10-20 sec | 20-40 sec | 40-90 sec |
| Data Analysis | 5-10 sec | 10-20 sec | 20-40 sec |
| Document Analysis | 5-10 sec | 10-20 sec | 20-40 sec |
| Web Search | 10-15 sec | 15-30 sec | 30-60 sec |
Note: Times vary based on prompt complexity, file size, and system load
Plan-Specific Model Access
FREE Plan
- Standard ✅
- Thinking Mini ❌
- Thinking – Large ❌
- Data Analysis ❌
- Document Analysis ❌
- Web Search ❌
LIGHT Plan
- Standard ✅
- Thinking Mini ✅
- Thinking – Large ❌
- Data Analysis ✅
- Document Analysis ✅
- Web Search ❌
BASIC Plan
- Standard ✅
- Thinking Mini ✅
- Thinking – Large ✅
- Data Analysis ✅
- Document Analysis ✅
- Web Search ✅ (Exclusive to BASIC)
Quick Tips
Switching Models Mid-Conversation
You can change models during a conversation!
Example workflow:
- Start with Standard to draft outline
- Switch to Thinking Mini for section expansion
- Switch to Thinking – Large for final strategic polish
The new model sees the full conversation history.
When in Doubt
Default choices that work for most people:
- Daily work: Standard + Thinking Mini (LIGHT plan)
- Professional use: Add Document Analysis + Data Analysis
- Executive/strategic: Add Thinking – Large + Web Search (BASIC plan)
Testing New Tasks
When trying something new:
- Start with cheaper model
- Evaluate quality
- Upgrade only if necessary
Printable Quick Reference Card
╔═══════════════════════════════════════════╗
║ SCHATZI AI MODEL QUICK REFERENCE ║
╠═══════════════════════════════════════════╣
║ ║
║ STANDARD ║
║ • Email, translation, quick tasks ║
║ • Fast & cheap ║
║ ║
║ THINKING MINI ║
║ • Regular analysis & reports ║
║ • Daily professional work ║
║ ║
║ THINKING – LARGE ║
║ • Strategy & complex analysis ║
║ • High-stakes deliverables ║
║ ║
║ DATA ANALYSIS ║
║ • CSV/Excel files ║
║ • Spreadsheet analysis ║
║ ║
║ DOCUMENT ANALYSIS ║
║ • PDF & Word documents ║
║ • Contract review ║
║ ║
║ WEB SEARCH (BASIC only) ║
║ • Current news & research ║
║ • Recent developments ║
║ ║
╠═══════════════════════════════════════════╣
║ DECISION RULE: ║
║ Start simple → upgrade if needed ║
╚═══════════════════════════════════════════╝
Related Resources
- Model Comparison: Detailed comparison
- Model Profiles: Complete specifications
- Choosing the Right Model: Decision guide
Save this quick reference for fast model selection during your daily work!