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.

EU-only data handling

Find an offering that runs inference in an EU member state and does not train on customer data.

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

Inference in the EU, no training; quality first, cost second.

Requirements

• offering.region in {AT, BE, BG, HR, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HU, IE, IT, LT, LU, LV, MT, NL, PL, PT, RO, SE, SI, SK}: Inference must run in one of the EU's 27 member-state ISO country codes (EU Publications Office Interinstitutional Style Guide, https://style-guide.europa.eu/en/content/-/isg/topic?identifier=annex-a5-list-countries-territories-currencies, checked 2026-09-27).
• offering.data.trains_on_customer_data = No: Customer prompts and outputs must not be available for model training.

Preferences

• chat_preference: Prefer the stronger general assistant among offerings that meet the data rules.
• -offering.cost_per_task: Prefer lower task cost after the data-handling gates pass.

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:

• offering.region

Missing evidence and possible changes

• offering.region in {AT, BE, BG, CY, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LT, LU, LV, MT, NL, PL, PT, RO, SE, SI, SK}

Decision dec_2ac74b0c295f9829010720bd on public snapshot snap_05a963d2477ac2fb.

What this template teaches

Residency and training policy are Musts; quality and cost only rank offerings that pass them.

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

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