MASE Business AI Benchmark

Executive Summary

We evaluated 8 leading AI models across 70 real-world business tasks spanning document processing, data analysis, business writing, customer communication, code generation, knowledge retrieval, and strategic planning.

Overall Results

Complete Rankings

Score Interpretation Guide

• 9.0+: Exceptional — ready for autonomous deployment
• 8.0-8.9: Excellent — production-ready with light oversight
• 7.0-7.9: Good — suitable for assisted workflows
• 6.0-6.9: Adequate — requires human review
• <6.0: Not recommended for business use

Category Breakdown

Document Processing (20%)

Contract extraction, invoice parsing, financial report summarization, multi-document comparison, compliance analysis

Data Analysis (18%)

SQL generation, spreadsheet formulas, trend analysis, statistical interpretation, financial modeling

Business Writing (17%)

Executive summaries, cold outreach, bad news delivery, proposals, performance reviews, technical translation

"Claude outputs read like they were written by a senior professional. GPT-5.2 is good but occasionally sounds like a business textbook. The gap between tier 1 and tier 2 models is noticeable to experienced executives." — Evaluator Panel

Customer Communication (15%)

Technical support, escalation handling, onboarding sequences, churn prevention, multilingual support

Code Generation (12%)

API integrations, ETL pipelines, spreadsheet automation, webhooks, CI/CD configs, bot development

Knowledge Retrieval / RAG (10%)

Policy QA, multi-document synthesis, contradiction detection, temporal reasoning, appropriate refusal

Reasoning & Planning (8%)

Project decomposition, resource allocation, risk assessment, decision matrices, scenario planning

Cost-Adjusted Rankings

MASE-Cost Score = (MASE-Quality Score × 1000) / Average Task Cost in Cents. Higher = better value per dollar.

Key Findings & Surprises

The Frontier Gap Has Narrowed

The difference between #1 (Claude Opus 4.6, 8.72) and #5 (Claude Sonnet 4.5, 8.19) is only 6.5%. Two years ago, the gap between frontier and mid-tier models was 20%+. Most businesses can use efficiency-tier models for most tasks.

Cost-Effectiveness Doesn't Mean Sacrifice

Claude Sonnet 4.5 achieves 94% of Opus's quality at 60% of the cost. For a company running 100K tasks/month, this represents $2,000/month in savings with minimal quality impact.

Consistency Matters More Than Peak Performance

Claude models showed the lowest variance across runs. In production, predictability often matters more than occasional brilliance. A model that's reliably 8.5 beats one that's sometimes 9.5 and sometimes 7.0.

GPT-5.2 Pro Rarely Beats GPT-5.2

Despite costing 6x more, GPT-5.2 Pro only outperformed standard GPT-5.2 on 23% of tasks. The extended reasoning capability helped on complex planning and edge-case analysis, but for typical business tasks, standard GPT-5.2 is the better choice.

Claude Dominates Business Writing

We expected GPT models to be more competitive on writing tasks. Instead, Claude Opus 4.6 and Sonnet 4.5 ranked #1 and #2. Human evaluators consistently rated Claude outputs as "more natural" and "less robotic."

Recommendations by Use Case

Citation

@misc{mase-bab-results-2026q1,
  title={MASE Business AI Benchmark: February 2026 Results},
  author={Mase Services LLC},
  year={2026},
  month={February},
  url={https://mase-services.com/research/benchmark/february-2026}
}