Not all AI models are created equal. GPT-4 excels at complex reasoning but can be slow. Claude is great for detailed explanations but sometimes over-explains. Gemini is fast and factual but less creative. Specialized models dominate in specific domains like math or coding.
So here's the question: during an exam or important assessment, why should you be locked into just one AI model? Wouldn't it be better to choose the best model for each specific question type? That's exactly what Latvik enables with its multi-model support.
The Problem with Single-Model AI Tools
When you use ChatGPT, you're locked into using GPT models. When you use Claude, you can only access Anthropic's models. Each AI tool gives you access to its own models only.
This creates several problems:
- Suboptimal answers: You're using whatever model the tool provides, even if another model would answer better
- Multiple accounts: To access different models, you need accounts with multiple services
- Tab management nightmare: Switching between AI models means switching between browser tabs or windows
- Can't compare: Hard to see which model gives the best answer for your specific question
- During exams: Impossible to switch models when you're in a locked testing environment
How Latvik Solves This: Unified Multi-Model Access
Latvik takes a different approach. It's not tied to any single AI provider. Instead, it gives you access to multiple AI models through one unified interface—the always-on-top overlay.
Here's what you get:
- GPT-4 and GPT-4 Turbo: OpenAI's flagship models for complex reasoning and general knowledge
- Claude (Sonnet and Opus): Anthropic's models known for nuanced understanding and detailed explanations
- Gemini Pro: Google's fast, factual model excellent for quick answers
- Specialized math models: Models optimized specifically for mathematical problem-solving
- Code-focused models: AI trained specifically on programming tasks
- Additional models: Access to newer models as they're released
All accessible from one dropdown menu in the Latvik overlay. No tab switching, no multiple accounts, no complexity.
Which Model for Which Question Type?
Different AI models have different strengths. Here's a guide to choosing the right model during exams or assessments:
Use GPT-4 For:
- Complex reasoning questions: Multi-step logic problems, philosophical questions, scenarios requiring deep analysis
- Essay questions: Well-structured, coherent long-form answers
- Creative tasks: Writing prompts, brainstorming, ideation
- Scenario-based problems: Business case studies, ethical dilemmas, real-world applications
- General knowledge: Broad subject matter that requires understanding connections
Use Claude For:
- Detailed explanations: When you need step-by-step reasoning shown clearly
- Nuanced questions: Topics requiring careful interpretation and context awareness
- Literature and humanities: Analysis of texts, historical context, philosophical depth
- Ethical scenarios: Questions about ethics, morality, social issues
- Writing quality: When the writing style and tone matter most
Use Gemini For:
- Factual recall: Quick facts, dates, definitions, terminology
- Speed: When you need an answer fast and time is limited
- Straightforward questions: Direct questions with clear, definitive answers
- Multiple choice: Quick evaluation of answer choices
- General knowledge: Broad topics where factual accuracy matters most
Use Specialized Math Models For:
- Calculus: Integration, differentiation, limits, series
- Linear algebra: Matrix operations, vector spaces, eigenvalues
- Statistics: Probability, distributions, hypothesis testing
- Differential equations: ODEs, PDEs, Laplace transforms
- Complex calculations: Any problem requiring precise mathematical computation
Use Code Models For:
- Programming exams: Coding questions, algorithm problems, debugging
- Syntax help: Language-specific syntax and best practices
- Code review: Finding bugs or improving existing code
- Algorithm design: Optimal approaches to computational problems
- Technical interviews: Live coding questions during interviews
Real Example: Using Multiple Models on One Exam
Let me show you how this works in practice. Imagine you're taking a comprehensive Computer Science exam with various question types:
Question 1: Algorithm Analysis (Use GPT-4)
"Explain why quicksort has O(n²) worst-case complexity but O(n log n) average-case complexity. Discuss the conditions that lead to each case."
This requires complex reasoning about algorithmic behavior. GPT-4 provides a thorough, well-structured explanation covering worst-case scenarios (already sorted arrays), average-case analysis, and the role of pivot selection.
Question 2: Programming Syntax (Switch to Code Model)
"Write a Python function to reverse a linked list in-place."
You switch to a code-specialized model with one click. It provides clean, optimized Python code with proper handling of edge cases and time complexity O(n).
Question 3: Quick Fact Check (Switch to Gemini)
"In what year was Python first released?"
Simple factual question. Switch to Gemini for a fast answer: "1991." No need for detailed explanation; speed and accuracy matter here.
Question 4: Ethical Scenario (Switch to Claude)
"Discuss the ethical implications of using facial recognition technology in public spaces. Consider privacy, security, and social equity."
This requires nuanced thinking about ethics and social impact. Claude excels here, providing a balanced discussion of multiple perspectives with careful consideration of competing values.
In this single exam, you've used four different AI models, each chosen for its specific strength. And you did it all from one interface, with no tab switching, in a way that's completely invisible to screen recording.
The Comparison Advantage
Sometimes you're not sure which model will give the best answer. With Latvik, you can ask the same question to multiple models and compare responses:
- Ask GPT-4 the question and see its answer
- Switch to Claude and ask the same question
- Compare the two responses
- Choose the better answer or synthesize both
This takes maybe 10 seconds total—much faster than opening separate browser tabs for ChatGPT and Claude, especially during a timed exam.
Model Switching During Live Exams
During a proctored exam with screen recording active, switching between different AI websites would be impossible. But with Latvik, switching models is:
- Invisible: The model switch happens in the overlay, not captured by screen recording
- Instant: One click in a dropdown menu, takes less than a second
- Seamless: Your exam window stays in focus the entire time
- Flexible: Change models as often as you want based on question type
Specialized Models for Specific Exams
Latvik's multi-model approach really shines for specialized exams:
Engineering Exams
Use specialized engineering models for technical calculations, GPT-4 for conceptual explanations, and code models for any programming components.
Medical/Healthcare Exams
Claude for nuanced clinical scenarios and ethical questions, Gemini for quick fact recall of drug names or symptoms, GPT-4 for differential diagnosis reasoning.
Business/Finance Exams
GPT-4 for case studies and strategic questions, specialized financial models for calculations, Gemini for quick definition recalls.
Law Exams
Claude for nuanced legal reasoning and case analysis, GPT-4 for essay questions, Gemini for quick statute or case citations.
Performance and Speed Differences
Different models have different response times. Understanding this helps you choose wisely during timed exams:
- Gemini: Fastest responses, typically 1-2 seconds
- GPT-4 Turbo: Fast, 2-3 seconds for most questions
- Claude Sonnet: Medium speed, 3-5 seconds
- GPT-4: Slower but most thorough, 5-8 seconds for complex questions
- Specialized models: Speed varies; math models can be very fast for calculations
During a timed exam, this means using faster models when time is tight and more thorough models when you have time to spare.
Future-Proof: New Models Added Automatically
AI is evolving rapidly. New models release frequently, each with potential improvements. When you're locked into a single AI provider, you only get their new models.
With Latvik, new models from any provider get added to the platform. When GPT-5 releases, when Claude 4 comes out, when Google releases Gemini Ultra—you get access through the same Latvik interface. No new accounts, no new tools to learn, just more options in your model dropdown.
Cost Efficiency
Accessing multiple AI models usually means multiple subscriptions:
- ChatGPT Plus: $20/month for GPT-4
- Claude Pro: $20/month for Claude Opus
- Gemini Advanced: $20/month for Gemini Ultra
- Total: $60/month
Latvik provides access to all these models through one subscription at a fraction of the total cost. You pay once and get everything.
Smart Model Selection: Auto-Detection
In future updates, Latvik will offer smart model selection that automatically chooses the best model based on your question type:
- Detect math notation → use math model
- Detect code syntax → use code model
- Detect essay prompt → use GPT-4
- Detect quick fact question → use Gemini
This removes even the need to manually switch, making AI assistance completely automatic and optimized.
Conclusion: The Power of Choice
AI models each have unique strengths and weaknesses. Being locked into a single model means getting suboptimal answers for many questions. Having access to multiple models but needing to switch between browser tabs defeats the purpose during exams or focused work.
Latvik solves both problems. You get access to GPT-4, Claude, Gemini, and specialized models all in one always-on-top interface. Switching between them takes one click and remains completely invisible to screen recording.
Whether you're taking a comprehensive exam with varied question types, working on complex projects that need different AI approaches, or simply want the best answer for each specific query, Latvik's multi-model support gives you the flexibility and power to choose the right AI for every situation.
Stop settling for one AI model. Get them all with Latvik.