Advanced~2h
Reasoning Models & Extended Thinking in LLM CoreInterview Readiness Check
The o-series, Claude extended thinking, DeepSeek R1, Gemini thinking. When to use, prompting differences, budgeting thinking tokens, routing patterns, and how reasoning combines with tool use..
reasoning modelextended thinkingo-serieso3o4-miniDeepSeek R1QwQthinking tokensRLVRtest-time compute
Learning path
How LLMs Are BuiltTool / Function Calling Deep-Dive→Reasoning Models & Extended Thinking ← you are here
Try a sample question
What is the primary architectural difference between OpenAI's o1 and standard GPT-4o that explains o1's stronger performance on complex reasoning tasks?
A.o1 uses an ensemble of smaller models whose outputs are averaged together
B.o1 has a larger number of parameters than GPT-4o, giving it more raw capacity
C.o1 is fine-tuned specifically on math datasets, so it only performs better on math problems
D.o1 uses a chain-of-thought reasoning phase before producing its final answer, spending additional compute tokens to think through the problem step-by-step
Sign up free to take the full check and see the answer with an explanation.
What this module tests
- Conceptual understanding of reasoning models & extended thinking fundamentals
- Trade-offs and design decisions in real system scenarios
- reasoning model and extended thinking — applied knowledge
- Interview-style reasoning and explanation quality
Free to start
Take the Reasoning Models & Extended Thinking check →
10 questions · Dimension scoring · AI coach feedback · Shareable result
Test your knowledge — free →No credit card · Takes 10–15 min
Frequently asked questions
- What does the Reasoning Models & Extended Thinking check test?
- The check covers the o-series, claude extended thinking, deepseek r1, gemini thinking. when to use, prompting differences, budgeting thinking tokens, routing patterns, and how reasoning combines with tool use.. Questions span beginner to advanced difficulty and test both conceptual understanding and practical trade-off reasoning.
- What keywords should I know for Reasoning Models & Extended Thinking?
- Key concepts include: reasoning model, extended thinking, o-series, o3, o4-mini, DeepSeek R1, QwQ, thinking tokens, RLVR, test-time compute. These frequently appear in llm core interviews at product and infrastructure companies.
- How many questions are in the check?
- Each check has 10 questions — a mix of MCQ and short-answer. You get scored by dimension (e.g., scalability, consistency) so you know exactly where to focus.
- How long does it take to study Reasoning Models & Extended Thinking?
- Most engineers spend around 2 hours on this module. The check itself takes about 10–15 minutes. You can retake it up to 3 times per day.
- What prerequisite knowledge do I need before Reasoning Models & Extended Thinking?
- Reasoning Models & Extended Thinking builds on How LLMs Are Built and Tool / Function Calling Deep-Dive. Complete those first for the best results.
- Is reasoning model, extended thinking, o-series covered?
- Yes. The Reasoning Models & Extended Thinking module covers reasoning model, extended thinking, o-series among other key concepts. The check includes questions that reflect real llm core interview patterns.