Artificial Analysis Strategy and Ops Index Scores Frontier Models on Business Work — Opus 5.5 Leads at 64
Artificial Analysis maintains a vertical benchmark index for strategy and operations work, and its current rankings give a different view of frontier model performance than the general intelligence leaderboard. Claude Opus 5.5 (Max, Default Fallback) leads at 64. Opus 5.5 (Xhigh, Default Fallback) places second at 62. Claude Fable 5.1 (Max, Default Fallback) ranks third at 60.
The index is independent. Artificial Analysis tests models directly rather than relying on vendor-reported numbers. Results are updated as new models are released.
What the Index Measures
The Strategy and Ops Index evaluates performance across four capability areas:
- Business knowledge: Factual accuracy and depth on business, legal, and operational topics
- Agentic knowledge work: Multi-step research and synthesis tasks without direct human intervention
- Agentic tool use across business apps: Model ability to correctly invoke and coordinate tools that mirror enterprise software integrations
- Long-context analysis: Performance on tasks requiring reasoning across extended documents — contracts, financial reports, research dossiers
The output metric is a composite score per model, measured alongside weighted average task completion time and output token counts. The combination allows buyers to compare both capability and inference cost when selecting a model for strategy and operations workloads.
What the Scores Reveal
The separation between Opus 5.5 configurations is narrow: Max (64) versus Xhigh (62) is a two-point gap on a scale where Fable 5.1 — the top-ranked model on LiveBench 2.0 and the strongest performer on coding and browser use benchmarks — scores 60.
That ranking inverts the pattern seen on LiveBench. On LiveBench 2.0, Claude Fable 5.1 leads the overall ranking at 88.0, with Opus 5.5 at 86.5. The Strategy and Ops Index narrows that gap significantly and places Opus 5.5 ahead. The divergence reflects the task composition: strategy and operations work emphasises long-horizon business reasoning over the browser use and pure coding tasks where Fable 5.1 most strongly differentiates.
Effort configuration matters here in a way the general intelligence leaderboard partly obscures. Opus 5.5 at Max effort (64) outperforms both Opus 5.5 at Xhigh effort (62) and a different model — Fable 5.1 — at its maximum (60). For enterprise buyers whose workloads fit the strategy and operations profile, effort scaling on Opus 5.5 delivers measurable returns.
Enterprise Model Selection vs General Benchmarks
The Strategy and Ops Index is one of several vertical indexes Artificial Analysis runs alongside its general intelligence ranking. It is relevant specifically when the evaluation criterion is business task performance rather than overall model capability.
The distinction has practical consequences for procurement. A buyer evaluating models for contract review, competitive research, or workflow automation across business apps is asking a different question than a buyer benchmarking general reasoning quality. The general intelligence index answers the latter; the Strategy and Ops Index targets the former.
The current top-three placement — Opus 5.5 Max, Opus 5.5 Xhigh, Fable 5.1 — suggests that for enterprise knowledge work, Anthropic’s post-September 2026 model generation holds the lead across both effort tiers. Fable 5.1 ranks just below two configurations of a model released three weeks later than its own launch.
Rankings are updated as new models are submitted. Gemini 4 Argon and GPT-6.1 Sol, both active on LiveBench and Arena leaderboards, have not been confirmed in the top three.