An architect is designing a legal document analysis system that must process contracts averaging 180,000 tokens. The pipeline requires 30 sequential clauses to be cross-referenced against a regulatory database, generating detailed reasoning chains for each. The team is debating between claude-3-5-sonnet-20241022 and claude-3-opus-20240229. Latency is secondary; accuracy and completeness of reasoning is the primary requirement. Which model selection rationale is most defensible?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — c is correct because claude-3-5-sonnet-20241022 scores at or above claude-3-opus on most complex reasoning benchmarks including graduate-level STEM and law while costing significantly less per token; when latency is tolerable, Sonnet is the rational default for most high-accuracy tasks. A is wrong because framing Sonnet as 'strictly superior for all long-document tasks' overstates the case — the selection depends on benchmark evidence, not a blanket rule.
Full explanation below image
Full Explanation
C is correct because claude-3-5-sonnet-20241022 scores at or above claude-3-opus on most complex reasoning benchmarks including graduate-level STEM and law while costing significantly less per token; when latency is tolerable, Sonnet is the rational default for most high-accuracy tasks. A is wrong because framing Sonnet as 'strictly superior for all long-document tasks' overstates the case — the selection depends on benchmark evidence, not a blanket rule. B is wrong because 'deliberate generation pattern' is not a documented architectural advantage of Opus; this characterization conflates verbosity with accuracy. D is wrong because both claude-3-5-sonnet-20241022 and claude-3-opus-20240229 share the same 200K token context window; Opus has no window advantage.