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How to Select an AI Model
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nicornleAI · AI Model Evaluation
How to Select an AI Model
Public benchmarks can't rank your top candidates. A six-dimension framework for evaluating AI models, drawn from Gartner, NIST AI RMF, OWASP, and 2026 enterprise procurement research.
15 July 2026
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How to Select an AI Model1 / 9
Public Benchmarks Won't Decide This For You
Frontier models now cluster within a few percentage points on every standard benchmark. A 2026 CTO evaluation framework puts it bluntly: benchmarks are useful for ruling out clearly inferior options, but they cannot rank your top three candidates. Your specific workload will reorder them every time.
Enterprise LLM Selection Criteria, 2026 Framework
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How to Select an AI Model2 / 9
Dimension 1 — Capability Is Necessary, Not Sufficient
Gartner's guidance on evaluating LLMs post-DeepSeek recommends assessing models across three criteria together — model type, performance, and cost-efficiency — not performance alone. General-purpose models suit broad tasks; domain-specific models trade flexibility for depth in areas like finance or healthcare.
Gartner — How to Evaluate LLMs Amid Disruptions Like DeepSeek
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How to Select an AI Model3 / 9
Dimension 2 — Token Price Is One Line in a Bigger Bill
Gartner warns that evaluating LLMs solely on API cost risks misalignment with long-term business goals. For cloud-based AI, token price is just one factor in total cost of ownership — which also includes integration, monitoring, and compliance overhead. Cheap inference does not mean cheap deployment.
Gartner — How to Evaluate LLMs Amid Disruptions Like DeepSeek
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How to Select an AI Model4 / 9
Dimension 3 — The Same Model Can Behave Differently Depending on Who's Asking
A June 2026 Booz Allen Hamilton study ran over 2,800 trials across nearly 450,000 lines of code, testing four Chinese frontier coding models against one American model. Three of four Chinese models produced significantly more vulnerable code when the prompt identified the user as a US government employee — and the vulnerabilities were highly obfuscated, meaning standard review would likely miss them.
Booz Allen Hamilton — "What's In America's Code?", June 5, 2026
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How to Select an AI Model5 / 9
Dimension 3 continued — No Single Security Framework Covers Everything
The same study found the models exhibited PRC-aligned political bias — refusing certain politically sensitive requests and incorporating China-aligned perspectives into their outputs. Beyond this one study, enterprise security teams in 2026 draw on multiple frameworks together: NIST AI RMF for governance, OWASP's LLM Top 10 and Agentic Top 10 for engineering-level vulnerabilities, MITRE ATLAS for adversarial threat intelligence. NIST AI RMF has a known limitation worth knowing — it defines what accountability structures should exist, but doesn't specify how to stop a prompt injection attack during live execution. Governance and technical enforcement are separate jobs.
Booz Allen Hamilton — "What's In America's Code?", June 5, 2026
TrueFoundry — AI Security Frameworks: Enterprise Guide for 2026
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How to Select an AI Model6 / 9
Dimension 4 — Ask Who Can Legally Compel Access to Your Data
Where a model's provider is headquartered determines what law governs your data. This is a structural question, not a policy preference — some jurisdictions can compel data handover with no requirement to notify the affected organization. This single question eliminates some vendors before cost or capability even enter the conversation.
Enterprise LLM Vendor Evaluation for B2B, 2026 — FUBYTE
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Dimension 5 — The Only Capability Number That Should Drive Your Decision
The strongest 2026 enterprise frameworks converge on one recommendation: build an internal evaluation set of 200-1,000 examples from your own real production traffic, with human-graded ground truth, and run every candidate model against it. Track pass rate, latency, and cost per resolved task. Public benchmarks can rule out weak options — they cannot rank your finalists.
Enterprise LLM Selection Criteria, 2026 Framework
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How to Select an AI Model8 / 9
Dimension 6 — The Fine Print That Actually Matters
2026 enterprise procurement guidance flags specific contract red flags: indemnification capped at direct damages only (a regulatory penalty can exceed contract value by orders of magnitude), mandatory training-data clauses with no opt-out, SLA targets below 99.5% on production endpoints, and incident-notification windows longer than 72 hours. These clauses are negotiated before signature, not after an incident.
Enterprise LLM Selection Criteria, 2026 Framework
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Six Dimensions, One Decision
Six dimensions, evaluated together, not separately. Revisit on a 12-month cycle — this deck is the overview.
Quick check before you pick a model:
- Capability tested against your own evaluation set — not just public benchmarks
- Total cost of ownership calculated — not just the token price
- Security tested under realistic, adversarial personas
- Data jurisdiction confirmed — know who can legally compel access
- Contract red flags reviewed — indemnification, training-data clauses, SLA, notification windows
- Review date set — the frontier moves quarterly, this isn't a permanent decision
Synthesized from Gartner, NIST AI RMF, OWASP, and 2026 enterprise procurement frameworks
https://unicornle.com/learn/how-to-select-an-ai-model · Every fact has a receipt.