Claude Sonnet 4.6 vs GPT-5.4 for Business

What Business demands: accurate strategic analysis, faithful sourcing, and strict structured output (JSON/tables) for reporting, automation, and downstream systems. In our testing the Business task uses strategic_analysis, structured_output, and faithfulness as the core tests. GPT-5.4 leads on the composite Business score (5.0 vs 4.6667) and holds the top task rank (1/52) in our suite. Component evidence from our tests: strategic_analysis ties (both 5), faithfulness ties (both 5), but structured_output is GPT-5.4: 5 vs Claude Sonnet 4.6: 4 — that gap explains GPT-5.4's edge for schema compliance and machine-readable reporting. Additional supportive signals: Sonnet scores higher on tool_calling (5 vs 4), classification (4 vs 3), and creative_problem_solving (5 vs 4), which matter for agentic workflows, routing, and idea generation. Cost and I/O: both models have identical output cost per mTok ($15) but GPT-5.4 has a lower input cost per mTok ($2.5 vs Sonnet's $3) and accepts file inputs (modality shows text+image+file->text), which can matter when ingesting spreadsheets or archives. Where available, supplementary external measures also favor GPT-5.4: on SWE-bench Verified it scores 76.9% vs Sonnet's 75.2% (Epoch AI), and on AIME 2025 GPT-5.4 scores 95.3% vs Sonnet 85.8% (Epoch AI), which supports GPT-5.4's numerical and analysis strengths in third-party math/coding benchmarks.

Scenario: Automated monthly executive report — Winner: GPT-5.4. Why: structured_output 5 lets you reliably generate strict JSON/CSV outputs for dashboards; task rank 1/52 reduces manual cleanup. Scenario: Multi-step deal orchestration (CRM updates, calendar actions, contract snippets) — Winner: Claude Sonnet 4.6. Why: tool_calling 5 and classification 4 give Sonnet an edge coordinating functions and routing tasks to APIs. Scenario: Competitive strategy brainstorming and unusual, non-obvious growth ideas — Winner: Claude Sonnet 4.6. Why: creative_problem_solving 5 vs GPT-5.4's 4 produces more diverse feasible options in our tests. Scenario: Financial model verification and high-precision numeric analysis — Winner: GPT-5.4. Why: stronger external math benchmarks (AIME 95.3% vs 85.8% on Epoch AI) and tied faithfulness indicate more reliable numeric reasoning for modeling. Scenario: Processing mixed documents (images + spreadsheets + archived files) into a unified report — Winner: GPT-5.4. Why: modality includes file input and structured_output 5 supports clean exports to downstream systems.

For Business, choose Claude Sonnet 4.6 if you need best-in-class tool orchestration, classification, or creative problem generation (tool_calling 5, creative_problem_solving 5). Choose GPT-5.4 if you need the most reliable structured outputs, top-ranked Business task performance (5.0 vs 4.667 in our testing), and better numeric/external-benchmark performance (SWE-bench Verified 76.9% and AIME 95.3% per Epoch AI). Also note GPT-5.4 has slightly lower input cost ($2.5 vs $3 per mTok) and supports file inputs, which matters for document-heavy workflows.