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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 TaskUse This Model
Quick email or translationStandard
Regular business analysisThinking Mini
Complex strategic workThinking – Large
Excel/CSV file analysisData Analysis
PDF or Word document reviewDocument Analysis
Current news or market dataWeb Search (BASIC plan)

Complete Model Comparison Table

ModelSpeedCostContext WindowBest ForAvailable On
Standard⚡⚡⚡ Fast💰 Low32k tokens (~24k words)Chat, email, translation, quick tasksFREE, LIGHT, BASIC
Thinking Mini⚡⚡ Medium💰💰 Medium64k tokens (~48k words)Daily analysis, reports, reasoningLIGHT, BASIC
Thinking – Large⚡ Slower💰💰💰 High200k tokens (~150k words)Strategic analysis, complex documentsBASIC
Data Analysis⚡⚡ Medium💰💰 Medium64k tokensCSV, Excel, numerical dataLIGHT, BASIC
Document Analysis⚡⚡ Medium💰💰 Medium128k tokens (~96k words)PDFs, Word docs, contractsLIGHT, BASIC
Web Search⚡⚡ Medium💰💰 Medium32k tokensCurrent information, researchBASIC 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"


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)

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:

  1. Draft with Standard or Thinking Mini
  2. Review the output
  3. Refine with same model if good enough
  4. 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:

  1. Split it into sections and analyze separately
  2. Upgrade to a model with larger context window
  3. 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):

ModelShort PromptMedium PromptLong Document
Standard2-5 sec5-10 sec10-20 sec
Thinking Mini5-10 sec10-20 sec20-40 sec
Thinking – Large10-20 sec20-40 sec40-90 sec
Data Analysis5-10 sec10-20 sec20-40 sec
Document Analysis5-10 sec10-20 sec20-40 sec
Web Search10-15 sec15-30 sec30-60 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:

  1. Start with Standard to draft outline
  2. Switch to Thinking Mini for section expansion
  3. 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:

  1. Start with cheaper model
  2. Evaluate quality
  3. 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 ║
╚═══════════════════════════════════════════╝

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