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.
Maths and reasoning, fastest
Find an active text model whose offering streams output fastest, among models within 1.0 of the strongest maths 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 maths estimate compete, and speed decides among them.
Requirements
model.class = text-generator: The answer must be generated as text.model.lifecycle = active: An active model is still supported by its lab or provider.maths >= best(1.0): Keep only models whose maths 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.
Applied template spec
spec_version- 1
where- model.class = text-generator
- model.lifecycle = active
- maths >= best(1.0)
optimizeweightsoffering.speed.throughput- 1.0
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:
mathsoffering.speed.throughput
Missing evidence and possible changes
- no model that meets the requirements has a value for offering.speed.throughput
Decision dec_5c5be9039b5226e360022934 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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