Selecting foundation models: benchmarks, capabilities, tradeoffs

Lesson 2 of 4 in Designing GenAI Solutions and Selecting Models.

Model selection is examined through three different instruments: performance benchmarks, capability analysis, and limitation evaluation. Benchmarks (public leaderboards, task-specific suites) are a cheap first filter across the catalog. Capability analysis checks the non-negotiables: modality (text, vision, embeddings), context window, tool/function-calling support, languages, customization options. Limitation evaluation is the professional half everyone skips: maximum output length, latency profile, Regional availability, quota ceilings, data-handling terms.

The verdict, though, never comes from a leaderboard: it comes from your evaluation on your data. Bedrock model evaluation runs candidate models against your task set with automatic metrics, human review workflows, or LLM-as-a-judge scoring — turning the PoC's anecdotes into a comparable score per model.

The selection axes — and where each answer comes from
AxisThe question it answersWhere to check

Capability fit

Can it do the task at all — reasoning depth, vision, tool use, languages?

Model card capabilities + a task-sample PoC

Context window

Do the documents, history, and retrieved chunks fit per request?

Model card limits vs your real payload sizes

Latency profile

Does P95 meet the SLO at production payload sizes?

Measured in the PoC — never assumed from model size

Token economics

What does a request cost at projected volume?

Input/output token counts from the PoC × published rates

Customization support

Does it support fine-tuning / adapters if the roadmap needs them?

Bedrock customization support per model; SageMaker for full control

Hard constraints

Regional availability, residency, quotas, provider terms

Regional model listings + service quotas — filters, not preferences

Interactive sorting exercise: Sort each requirement into what it is for model selection: a hard constraint that filters the catalog, a capability the model must demonstrate, or an economics question your PoC must measure.

Interactive checkpoint quiz (2 questions) — open this page in a browser to take it.