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.
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