Overview
With 21 AI models available in Verve AI, choosing the right one can feel overwhelming. This guide provides practical recommendations based on interview type—but remember, personal preference matters most. Always test models in the Playground to find what works best for you.Overall Performance

Response Speed

Quick Recommendations by Interview Type
Technical Coding Interviews
Top Picks:- Claude 4.5 Sonnet - Excellent code explanations, strong debugging assistance
- Qwen3 Coder 480B - Specifically optimized for coding challenges
- DeepSeek V3.1 - Strong algorithm and data structure knowledge
- GPT-5.2 - Well-rounded for all coding questions
Model Performance Comparison
Compare model performance across different dimensions to make informed decisions:Coding Performance

Online Assessments (OA)
Top Picks:- Qwen3 Coder 480B - Built for coding assessment scenarios
- Grok Code Fast - Speed-optimized for timed challenges
- DeepSeek R1 - Deep reasoning for complex problem-solving
- GPT-5.2 - Versatile for varied OA formats
System Design Interviews
Top Picks:- Claude 4.5 Sonnet - Industry-leading for architectural thinking and trade-off analysis
- Grok 4 Reasoning - Advanced reasoning for scalability discussions
- Gemini 3 Pro - Excellent at multi-dimensional problem analysis
- DeepSeek R1 - Strong at breaking down complex systems
Behavioral Interviews
Top Picks:- GPT-5.2 - Natural, human-like responses
- Gemini 3 Flash - Strong at structuring STAR method answers
- Claude 4.5 Sonnet - Detailed, thoughtful responses
Data Science & ML Interviews
Top Picks:- Claude 4.5 Sonnet - Strong statistical reasoning and ML explanations
- Gemini 3 Pro - Advanced data analysis capabilities
- DeepSeek V3.1 - Deep technical ML knowledge
- Qwen-2.5-235B - Large-scale reasoning for complex ML topics
Case Interviews (Consulting/Business)
Top Picks:- Claude 4.5 Sonnet - Structured problem-solving and business reasoning
- GPT-5.2 - Well-rounded analytical thinking
- Gemini 3 Pro - Multi-dimensional business analysis
- Grok 4 Reasoning - Strong logical framework building
Language-Specific Interviews
Top Picks:- Claude 4.5 Sonnet - Supports multiple languages with high quality
- GPT-5.2 - Strong multilingual capabilities
- Qwen models - Excellent for Chinese-language interviews
- GLM-4P5 - Strong in Asian languages
How to Find Your Perfect Model
1
Start with the recommended model for your interview type
Use the recommendations above as your starting point based on your upcoming interview.
2
Test in Playground with real questions
Go to the Playground and test with actual questions you expect in your interview.
3
Compare 2-3 models side-by-side
Try the same question with different models to compare response style, speed, and quality.
4
Consider your personal preference
Some people prefer concise answers, others want detailed explanations. Choose what feels natural to you.
5
Test different response styles
Adjust between Concise, Explanatory, and Default modes to fine-tune the output format. For advanced customization, try creating custom response styles with personalized prompts.
6
Apply and practice
Once you find your preferred setup, apply the settings and run a mock interview session to validate.
Common Questions
Can I switch models during an interview?
Can I switch models during an interview?
No, you cannot change models mid-interview. Choose your model before starting the session and test it in the Playground first to ensure it meets your needs.
Is the most expensive/largest model always the best?
Is the most expensive/largest model always the best?
Not necessarily. Larger models like Claude 4.5 Sonnet excel at complex reasoning, but for quick coding challenges, specialized models like Grok Code Fast might be faster and more practical. It depends on your interview type and personal workflow.
Should I use different models for different interview rounds?
Should I use different models for different interview rounds?
Absolutely! Use coding-focused models for technical rounds, reasoning models for system design, and conversational models for behavioral rounds. Test each scenario in Playground first.
What if I'm doing a mixed interview (coding + system design)?
What if I'm doing a mixed interview (coding + system design)?
Start with a versatile premium model like Claude 4.5 Sonnet or GPT-5.2. These handle both coding and high-level reasoning well. You can switch mid-interview if needed.
How do I know if a model is working well for me?
How do I know if a model is working well for me?
Ask yourself:
- Are responses coming at the right speed for my interview pace?
- Do explanations feel natural and easy to understand?
- Is the technical accuracy high?
- Does the tone match what I’d say in my own words?
Can I use efficient models for real interviews?
Can I use efficient models for real interviews?
Yes! Models like GPT-5-Mini and Gemini 3 Flash are fast and capable. They’re great for rapid-fire questions or interviews where speed matters more than deep reasoning. Test them first to ensure quality meets your needs.

