CCAO-F Claude Model Fundamentals Practice Question
A machine learning engineer is comparing Claude 3 Opus and Claude 3.5 Sonnet for a complex mathematical reasoning task. The task involves multi-step proofs and requires the highest possible accuracy. Cost is not a primary concern. Which statement accurately describes the trade-off between these models for this use case?
⚠ Common exam trap
The trap here is assuming that the newest model (Claude 3.5 Sonnet) is always superior in every aspect, overlooking that Opus remains the top-tier model for the most complex reasoning.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Claude 3 Opus is designed for the most complex reasoning tasks and generally offers higher accuracy than Claude 3.5 Sonnet on such tasks, though at higher cost and latency.
For a complex mathematical reasoning task where accuracy is paramount and cost is not a concern, Claude 3 Opus is the best choice. It is the most capable model in the Claude 3 family, designed for the most demanding reasoning tasks, and generally provides higher accuracy than Claude 3.5 Sonnet, albeit with higher cost and latency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Claude 3.5 Sonnet is strictly more capable than Claude 3 Opus in all reasoning tasks.
Why it's wrong here
Claude 3.5 Sonnet outperforms Claude 3 Opus on several benchmarks, including some reasoning tasks, but it is not strictly more capable in all areas. Opus may still excel in certain complex, open-ended reasoning tasks. The statement is an overgeneralization; model capabilities vary by task, and Opus remains a top-tier model for the most demanding reasoning.
- ✗
Claude 3.5 Sonnet is always faster and more accurate than Claude 3 Opus, making it the best choice regardless of task complexity.
Why it's wrong here
Claude 3.5 Sonnet is faster and more cost-effective, but it is not always more accurate than Opus, especially on the most complex reasoning tasks. Opus is designed for maximum capability, and there are scenarios where it outperforms Sonnet. Claiming Sonnet is always more accurate is incorrect and ignores the trade-offs between the models.
- ✗
Both models have identical reasoning capabilities, so the choice should be based solely on cost.
Why it's wrong here
Claude 3 Opus and Claude 3.5 Sonnet have different capabilities; they are not identical. Opus is optimized for the highest level of reasoning, while Sonnet balances performance and efficiency. For a task requiring the utmost accuracy, Opus is likely to perform better. Ignoring capability differences and focusing only on cost would be a mistake when accuracy is the priority.
- ✓
Claude 3 Opus is designed for the most complex reasoning tasks and generally offers higher accuracy than Claude 3.5 Sonnet on such tasks, though at higher cost and latency.
Why this is correct
Claude 3 Opus is the most powerful model in the Claude 3 family, intended for highly complex reasoning where accuracy is paramount. While Claude 3.5 Sonnet is faster and more cost-effective, Opus typically provides superior performance on the most challenging reasoning tasks. Given that cost is not a concern and accuracy is critical, Opus is the appropriate choice.
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Last reviewed September 2026 · checked against the official Anthropic exam blueprint
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