ModelSpec is an analysis of alternatives for AI models: it decides which models fit a job from your requirements, sourced benchmarks and real cost, and shows its work.

General assistant, fastest

Find an active assistant whose offering streams output fastest, among models within 1.0 of the strongest response-quality estimate.

Worked example as of 2026-09-23, from the public data image.

The fastest of the strong; only models within 1.0 of the strongest response-quality estimate compete, and speed decides among them.

Requirements

• model.class = text-generator: A conversational assistant needs a text-generating model.
• model.lifecycle = active: An active model is still supported by its lab or provider.
• chat_preference >= best(1.0): Keep only models whose response-quality estimate is within 1.0 of the strongest eligible model's; speed decides among them. A gap of 1.0 can be measurable but is not decisive.

Preferences

• offering.speed.throughput: Among the models the floor keeps, prefer the offering that produces output tokens fastest.

Worked answer

Decision status: no_feasible.

No recommendation: the public image has no answer with enough evidence.

Unknown requirements

Some candidates may qualify. Missing facts:

• chat_preference
• offering.speed.throughput

Missing evidence and possible changes

• no model that meets the requirements has a value for offering.speed.throughput

Decision dec_37e6991b8a97bec17812c309 on public snapshot snap_05a963d2477ac2fb.

What this template teaches

Strength is a floor relative to the strongest eligible model, so speed can never buy it back. Speed is a Prefer, not a gate. An offering without a measured speed may qualify but is not ranked, so this tier answers only once speeds are published.

The live board uses current data. Its answer can change as evidence changes.

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