AI / Claude Sonnet5 Interview questions

Why does Claude Sonnet 5 reject non-default sampling parameters?

Setting temperature, top_p, or top_k to anything other than their default values now returns an HTTP 400 error on Sonnet 5, a constraint that had already been introduced for Opus-class models earlier and is now extended to the Sonnet tier for the first time with this release.

This affects two different groups of prior use cases identically: developers who raised these parameters for more creative, varied output, and developers who lowered them, often to zero, for more deterministic output - both patterns now fail the same way.

The recommended replacement path is to control output behavior through prompting instead - explicit system prompt instructions describing the desired style, creativity, or determinism - rather than through sampling-level knobs, reflecting a broader move toward controlling behavior at the prompt and effort level rather than through low-level generation parameters.

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Non-default temperature, top_p, or top_k on Sonnet 5 now: returns an HTTP 400 error

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is silently ignored with no effect

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doubles the token cost automatically

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This constraint was: already used for Opus-class models before extending to Sonnet

✓ Correct! Well done.

removed entirely rather than added

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unique to Sonnet 5 with no precedent

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More Related questions...

What is the difference between Claude Sonnet 5 and Claude Sonnet 4.6? How does Claude Sonnet 5 compare to Claude Opus 5 in capability and cost? Why does Claude Sonnet 5 run with thinking on by default? What is the difference between adaptive thinking and manual extended thinking? Why does Claude Sonnet 5 reject non-default sampling parameters? How does the effort parameter differ between Claude Sonnet 5 and Claude Sonnet 4.6? What is the difference between the xhigh and max effort levels? Why does Claude Sonnet 5's tokenizer change matter for migration? How does Claude Sonnet 5's context window differ from Claude Sonnet 4.6's in practice? When should you disable thinking on Claude Sonnet 5? What is the difference between disabling thinking on Sonnet 5 and on Opus 5? Why does max_tokens now behave differently on Claude Sonnet 5? How does Claude Sonnet 5's prompting guidance differ from Claude Sonnet 4.6's for verbosity? What happens when you set effort to low on a genuinely complex problem? When should you raise effort instead of prompting around shallow reasoning? How does Sonnet 5's agentic capability compare to Sonnet 3.5-3.7? Why is Claude Sonnet 5 described as narrowing the gap with Opus-class models? What is the difference between Claude Sonnet 5's cyber safeguards and its predecessor's? How does Claude Sonnet 5's alignment profile compare to Claude Sonnet 4.6's? When should you choose Claude Sonnet 5 over Claude Opus 5 for a coding task? What is the difference between Claude Sonnet 5's Priority Tier support and Claude Sonnet 4.6's? How does prompt caching behavior change when migrating to Claude Sonnet 5? Why should you re-run token counting before migrating to Claude Sonnet 5? What is the difference between migrating from Sonnet 4.6 versus from Sonnet 4.5 or earlier? How does Claude Sonnet 5 handle assistant message prefilling? When would you choose Claude Sonnet 5's xhigh effort over Claude Opus 5 entirely? What is the difference between Claude Sonnet 5's response-length calibration and a fixed verbosity default? How does Claude Sonnet 5's tool-use behavior differ from Claude Sonnet 4.6's? Why doesn't lowering effort guarantee that Claude Sonnet 5 skips thinking? What is the difference between Sonnet 5 and Opus 5 on long-horizon coding? Explain the execution flow of a Claude Sonnet 5 request that omits the thinking field? How can you optimize Claude Sonnet 5 costs given the new tokenizer? How do you troubleshoot a new HTTP 400 error after migrating to Sonnet 5? Explain the internal difference between Claude Sonnet 5's effort parameter and its adaptive thinking mechanism? Which is better for a high-volume coding pipeline: Sonnet 5 or Opus 5? How do you troubleshoot a Claude Sonnet 5 response truncated at max_tokens after migration? Explain the lifecycle of a migration from Claude Sonnet 4.6 to Claude Sonnet 5? How can you optimize Claude Sonnet 5's effort setting across a fleet of subagents? How do you troubleshoot degraded reasoning quality on Claude Sonnet 5 at low effort? Explain the execution flow of Claude Sonnet 5's cyber safeguards during a request? Which is more cost-efficient on simple tasks: Sonnet 5 max or Opus 5 low effort? How can you optimize prompts migrating from Sonnet 4.6 to Sonnet 5? Explain the internal working of Claude Sonnet 5's new tokenizer relative to Claude Sonnet 4.6's? How do you troubleshoot silent cost increases after migrating to Claude Sonnet 5? Explain the execution flow of a Sonnet 5 to Opus 5 escalation pipeline? How can you optimize Claude Sonnet 5's context window usage given the tokenizer change? Which is better for agentic multi-file refactoring: Sonnet 5 or Opus 5? How do you troubleshoot manual extended thinking left over from Sonnet 4.6? Explain the lifecycle of test-time compute scaling on Sonnet 5's effort levels? How can you optimize a rollout plan from Sonnet 4.6 to Sonnet 5?

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