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AI / Claude Models Basics Interview Questions

What is Claude's max_tokens parameter and how does it relate to the context window?

The max_tokens parameter sets the maximum number of output tokens Claude will generate in a single response. It is a hard cap — Claude will stop generating once it reaches this limit, potentially truncating its response mid-sentence.

# max_tokens is required in the Messages API
response = client.messages.create(
    model="claude-opus-4-8",
    max_tokens=1024,   # Claude generates at most 1024 output tokens
    messages=[{"role": "user", "content": "Write a detailed essay."}]
)

# Check if Claude stopped due to max_tokens
if response.stop_reason == "max_tokens":
    print("Response was cut off — increase max_tokens or use a longer window")
elif response.stop_reason == "end_turn":
    print("Claude naturally finished its response")

# Relationship:
# context_window = input_tokens + max_tokens (reserved output)
# Available input = context_window - max_tokens
# e.g. for Opus 4.8: 1,000,000 - 1024 = 998,976 tokens available for input
max_tokens limits by model
ModelMaximum allowed max_tokensDefault if not set
Claude Fable 5128,000N/A — required parameter
Claude Opus 4.8128,000N/A — required parameter
Claude Sonnet 5128,000N/A — required parameter
Claude Haiku 4.564,000N/A — required parameter

max_tokens is a required parameter in the Messages API — the request will fail without it. Setting it to the maximum value is usually wasteful; choose a value appropriate for the expected response length. The stop_reason field in the response tells you why Claude stopped generating.

What does the stop_reason value 'max_tokens' indicate in a Claude API response?
If Claude Opus 4.8 has a 1 million token context window and you set max_tokens to 10,000, how many tokens are available for input?

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