Claude Haiku 4.5 vs Claude Sonnet 4.6 for Business
Winner: Claude Haiku 4.5. In our Business tests (strategic_analysis, structured_output, faithfulness) Claude Haiku 4.5 and Claude Sonnet 4.6 tie with identical task scores of 4.67 and the same task rank (16 of 52). Because they deliver the same measured Business capability on our 3-test suite, the decisive factor for Business users is cost-efficiency: Haiku’s input/output costs are 1 and $5 per mTok versus Sonnet’s 3 and $15 per mTok. Haiku 4.5 is the better choice when you need the same strategic/reporting quality at materially lower runtime cost. Sonnet 4.6 remains relevant when stricter safety calibration and stronger creative problem-solving are required (Sonnet scores 5 vs Haiku’s 2 on safety_calibration and 5 vs 4 on creative_problem_solving in our tests).
anthropic
Claude Haiku 4.5
Benchmark Scores
External Benchmarks
Pricing
Input
$1.00/MTok
Output
$5.00/MTok
modelpicker.net
anthropic
Claude Sonnet 4.6
Benchmark Scores
External Benchmarks
Pricing
Input
$3.00/MTok
Output
$15.00/MTok
modelpicker.net
Task Analysis
What Business demands: the Business task (strategic analysis, reporting, decision support) prioritizes three capabilities: strategic_analysis (nuanced tradeoff reasoning), structured_output (JSON/schema compliance for reports and dashboards), and faithfulness (sticking to source data). In our testing both Claude Haiku 4.5 and Claude Sonnet 4.6 score identically on those three benchmarks (strategic_analysis 5, structured_output 4, faithfulness 5 → task score 4.6667 each). Supporting capabilities that matter for business workflows include long_context (retrieval across long briefs), tool_calling (automation and function orchestration), agentic_planning (project decomposition), and safety_calibration (compliance and refusal behavior). On those proxies both models tie on long_context (5) and tool_calling (5) and agentic_planning (5), but Sonnet outperforms Haiku on safety_calibration (5 vs 2) and creative_problem_solving (5 vs 4) in our tests — important if you need stricter compliance handling or more inventive, non-obvious recommendations. Sonnet also posts external-style scores useful for adjacent tasks (e.g., SWE-bench Verified 75.2% and AIME 2025 85.8%), which we attribute to Epoch AI; those external numbers are supplementary and not the primary signal for Business in this payload.
Practical Examples
Where Claude Haiku 4.5 shines for Business
- High-volume reporting pipelines: produces the same strategic summaries and faithful outputs as Sonnet in our 3-test Business suite while costing less (input cost 1 vs 3, output $5 vs $15 per mTok), lowering runtime bills for recurring reports.
- Embedded decision-support in customer-facing apps: equal scores on strategic_analysis and faithfulness mean Haiku can drive dashboards and executive summaries with lower latency and cost.
- Long-form consolidation (large briefs, 30K+ token contexts): both models scored 5 on long_context and tool_calling, so Haiku delivers equivalent retrieval and function orchestration at lower cost.
Where Claude Sonnet 4.6 shines for Business
- Compliance-sensitive workflows: Sonnet scores 5 vs Haiku’s 2 on safety_calibration in our tests, so Sonnet is better at refusing harmful or out-of-policy requests and making conservative compliance calls.
- High-stakes creative strategy: Sonnet scored 5 vs Haiku’s 4 on creative_problem_solving, useful for novel product strategies or non-obvious market solutions.
- Cross-disciplinary technical/verificational tasks: Sonnet includes higher external-style scores (SWE-bench Verified 75.2% and AIME 2025 85.8% per Epoch AI) — supplementary signals that may matter if business work overlaps with technical code review or advanced math verification.
Bottom Line
For Business, choose Claude Haiku 4.5 if you need identical measured strategic, structured, and faithful output at materially lower runtime cost (input cost 1 vs 3; output $5 vs $15 per mTok) and plan high-volume or embedded deployments. Choose Claude Sonnet 4.6 if your Business use cases require stricter safety calibration, stronger creative problem-solving, or you value Sonnet’s higher supplementary scores on technical external tests (SWE-bench Verified 75.2%, AIME 2025 85.8% — Epoch AI).
How We Test
We test every model against our 12-benchmark suite covering tool calling, agentic planning, creative problem solving, safety calibration, and more. Each test is scored 1–5 by an LLM judge. Read our full methodology.