AI / Claude Models Basics Interview Questions
What is the effort parameter in Claude and which models support it?
The effort parameter allows you to trade intelligence for latency and cost within a single model — rather than switching to a different model. It is available on recent Opus and Sonnet models.
| Level | Behaviour | Use case |
|---|---|---|
| low | Fastest, least compute — lighter reasoning | Simple tasks, classification, short responses |
| medium | Balanced compute | General purpose tasks |
| high (default on Opus 4.8) | Strong reasoning — default on Opus 4.8 | Most coding, analysis, complex tasks |
| xhigh | Maximum reasoning — highest latency and cost | Hardest coding problems, high-autonomy agentic work |
# Using the effort parameter message = client.messages.create( model="claude-opus-4-8", max_tokens=4096, effort="xhigh", # use max reasoning for this hard task messages=[{"role": "user", "content": "Solve this complex algorithmic problem..."}] ) # For simpler tasks, use lower effort to save time and cost message_fast = client.messages.create( model="claude-opus-4-8", max_tokens=256, effort="low", messages=[{"role": "user", "content": "What is 12 + 7?"}] )
Model support: the effort parameter is available on Claude Opus 4.8 and Claude Opus 4.7. The documentation recommends tuning effort as a first lever before switching models. The xhigh effort level on Opus 4.8 is described as the best setting for coding and high-autonomy agentic tasks.
Note: fast mode (a related but distinct feature) on Claude Opus 4.7 is deprecated with removal scheduled for July 24, 2026.
What is the main purpose of the effort parameter in Claude?
Which effort level is recommended for complex coding and high-autonomy agentic tasks on Claude Opus 4.8?
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