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.

Writing on a budget

Find an active text model that writes well while keeping one task at or under $0.08.

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

At most $0.08 a task; writing still ranked.

Requirements

model.class = text-generator: Writing needs a model that generates text.
model.lifecycle = active: An active model is still supported by its lab or provider.
offering.cost_per_task <= 0.08: The offering must stay within the per-task budget.

Preferences

writing: Prefer stronger writing among offerings inside the budget.
-offering.cost_per_task: Prefer the cheaper task among offerings inside the budget.

Applied template spec

spec_version

where

model.class = text-generator
model.lifecycle = active
offering.cost_per_task <= 0.08

optimize

weights

writing: 0.5
-offering.cost_per_task: 0.5

Worked answer

Decision status: partial.

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

This is a partial answer. Unknown facts or missing objective evidence can leave eligible candidates unranked.

probability bands: a model joins the leader when P(its score >= the leader's) >= 0.25 under the score posteriors; a weighted capability with an 80% interval wider than 2.8 is not enough evidence

Score and score interval use the objective's dimensionless normalised units. Cost per task is for the engine-selected offering and the applied spec's task size. When task size is omitted, the engine uses its documented default. P(best) is the engine probability. Unavailable means the engine did not return a value. Thin evidence is undetermined and is not a recommendation.

Thin evidence: undetermined

Model	Score	Score interval	P(best)	Cost per task, USD	Capability estimates and intervals
`google/gemini-3-7-flash`	0.751761	[-0.139308, 1.642829]	0.2305	0.045	writing: 0.434597365; interval [-1.064541992, 1.933736721]; benchmarks 3; direct benchmarks 0
`google/gemini-3-8-flash`	0.698032	[-0.193036, 1.589101]	0.2064	0.045	writing: 0.344204382; interval [-1.154934975, 1.843343738]; benchmarks 3; direct benchmarks 0
`google/gemini-2-5-flash`	0.538323	[-0.352746, 1.429391]	0.1463	0.022	writing: -0.265119831; interval [-1.764259188, 1.234019525]; benchmarks 3; direct benchmarks 0
`meta/muse-spark-1-3`	0.288887	[-0.900368, 1.478143]	0.1371	0.067	writing: -0.018325411; interval [-2.019136338, 1.982485515]; benchmarks 1; direct benchmarks 0
`zhipu/glm-5-3`	0.247469	[-0.643599, 1.138538]	0.0731	0.0736	writing: 0.009738247; interval [-1.489401109, 1.508877604]; benchmarks 3; direct benchmarks 0
`meta/muse-spark-1-1`	0.195135	[-0.99412, 1.38439]	0.1158	0.067	writing: -0.176054846; interval [-2.176865772, 1.824756081]; benchmarks 1; direct benchmarks 0
`zhipu/glm-5-2`	0.083995	[-0.807074, 0.975063]	0.0475	0.0736	writing: -0.265292672; interval [-1.764432028, 1.233846685]; benchmarks 3; direct benchmarks 0
`deepseek/deepseek-v4-pro`	0.043662	[-0.847406, 0.93473]	0.0425	0.06864	writing: -0.406605901; interval [-1.905745257, 1.092533456]; benchmarks 3; direct benchmarks 0

Unknown requirements

Some candidates may qualify. Missing facts:

offering.cost_per_task
writing

Engine warnings

cite_only_not_machine_verified
not_separable
proxy_evidence_only

Decision dec_a7fdb7e734fc2521731fbca2 on public snapshot snap_745a6b4354bbc69a.

What this template teaches

The budget is a Must; inside it, cost and quality share the ranking equally.

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

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