Kimi K3.1 Pro (2.8T parameters, 1M context)

Open weights & AI Act facts

Factual characteristics of this model's weights — stated, not certified. Under the EU AI Act, whether a deployment is compliant depends on the model, your role and your use case.

Open weights

Weights public — use governed by the licence above

AI Act class

GPAI — general-purpose AI

Systemic risk

Not assessed by us — training compute not published, or too close to the 10²⁵ FLOP threshold to call

Data retention

None at Frontière AI; Verda states it stores no request, keeps context only in an in-memory inference cache cleared within 2 hours, never trains on it and shares nothing with the model maker

Frontière Verified

Our 6-criteria checklist for this model. Each criterion is assessed independently — a checkmark means we ran, recorded and passed the check; an empty circle means not confirmed yet.

Compliance evidence

Provider facts for this model's serving path, as documented by Frontière AI; the retention row quotes each provider's own documentation where it exists. Dates reflect the most recent documented audit of each fact.

Last verified: 2026-11-06

Provider / operator

Verda

Country

Germany

Ownership / control

Finnish company (Verda Cloud Oy, Helsinki; formerly DataCrunch) — backed mainly by Nordic investors, no non-EU parent found

Jurisdiction

EU — Verda runs inference on its own GPUs in its own European data centres, with no sub-processor; Kimi K3.1 Pro runs in Germany (Verda documentation, 4 November 2026). Contract under Finnish law

Deployment

Managed cloud inference (Verda's own GPU cloud, Germany)

Data retention

None at Frontière AI; Verda states it stores no request, keeps context only in an in-memory inference cache cleared within 2 hours, never trains on it and shares nothing with the model maker

Frontière AI retains neither prompts nor completions from API calls; processing is structured to fit a short DPA (Art. 28 GDPR). DPA and subprocessor documentation available on request.

What its label means

This model is run by a French provider (OVHcloud or Scaleway), in data centres in France. It is not a US company, so the CLOUD Act does not reach it the way it reaches a US provider, and under GDPR a foreign court order is only enforceable in the EU through an international agreement (Article 48). That is the SecNumCloud principle — who controls the operator matters more than where the servers sit — applied as a label, not a qualification: this service is not SecNumCloud-qualified. Our gateway runs in Vercel's Paris region (a US company): your prompts pass through it without being stored.

Sovereignty Score — 90/100

Deterministic 0–100 score computed from the five factors below — ownership, hosting jurisdiction, cloud-provider control, data retention, deployment control. Full methodology: How Frontière AI determines sovereignty →

Operating-company ownership

40/40

Hosting jurisdiction (observed)

30/30

Cloud-provider control

10/15

Data retention

10/10

Deployment control

0/5

Effective provider assessed: verda.

Calling it

The API is OpenAI-compatible. Change base_url and the key, then use this model id:

client = OpenAI(
    base_url="https://getfrontiereai.eu/api/v1",
    api_key=os.environ["FRONTIERE_KEY"],
)

reply = client.chat.completions.create(
    model="kimi-k3.1-pro",
    messages=[{"role": "user", "content": "Bonjour"}],
)

One key covers the whole catalog — you switch models by changing a single string.

Pricing

The price you see is the price debited from your prepaid balance, margin and VAT included — not an infrastructure cost. No subscription: top up from €10; calls are refused once the balance reaches zero, and a call already running can take it slightly below — deducted from your next top-up.

What will it cost you?

Pick a workload or type your own token counts: the estimate uses the prices above, margin and VAT included.

FAQ

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