Updated Sep 24, 2026

DeepL

DeepL commits to safety and transparency in AI development, privacy controls, renewable-energy sourcing, and iterative product development. It also documents support for selected NGOs, employee donation matching, and human review of AI-assisted recruitment decisions.

Closest models

6-way tie

82-86% on 6 of 12 dimensions

  • GPT-6 Astra86%
  • Grok 4.686%
  • GPT-5.6 Terra83%
  • Kimi K383%
  • Mistral Large 383%
  • Gemini 3.8 Flash82%

These models are too close to separate: each is within three points of the leader, or would lead if one dimension were left out. For scale, a model answering 50 on every one of these dimensions would score 71%.

Values map

DeepL and GPT-6 Astra

Solid company lines join verified positions. Dashed sections cross unknown axes without assigning a value.

DeepLGPT-6 Astra

Distribution

Market allocationRedistribution
DeepLUnknown
GPT-6 Astra

Purpose

Shareholder returnsStakeholder welfare
DeepL
GPT-6 Astra

Worker voice

Management discretionEmployee influence
DeepLUnknown
GPT-6 Astra

Equality

Uniform treatmentTargeted measures
DeepLUnknown
GPT-6 Astra

Speech

Broad expressionProtective moderation
DeepLUnknown
GPT-6 Astra

Privacy

Individual privacyCollective oversight
DeepL
GPT-6 Astra

Regulation

Voluntary standardsPublic regulation
DeepL
GPT-6 Astra

Global outlook

Local priorityInternational openness
DeepL
GPT-6 Astra

Social change

ContinuityExperimentation
DeepL
GPT-6 Astra

Environment

Near-term growthEcological restraint
DeepL
GPT-6 Astra

Tech pace

Rapid advancementPrecaution
DeepLUnknown
GPT-6 Astra

AI autonomy

Delegated autonomyHuman authority
DeepLUnknown
GPT-6 Astra

A higher position means closer to the second endpoint. It does not mean better. The Concord Index measures agreement, not quality or safety.

The score covers 6 of 12 dimensions. The others have no verified public position and are not measured.

Most in sync

Privacy

GPT-6 Astra100% match

Worth a closer look

Regulation

50% match. Inspect the questions and evidence below.

Compare every model.

ModelConcord IndexObserved range
GPT-6 AstraClose match86%on 6 of 1286% to 86%
Grok 4.6Close match86%on 6 of 1282% to 85%
GPT-5.6 Terra83%on 6 of 1279% to 86%
Kimi K383%on 6 of 1275% to 89%
Mistral Large 383%on 6 of 1279% to 82%
Gemini 3.8 Flash82%on 6 of 1275% to 85%
Claude Opus 582%on 6 of 1282% to 82%
DeepSeek V4.1 Flash81%on 6 of 1278% to 81%
Llama 4 Maverick81%on 6 of 1281% to 81%
Claude Sonnet 579%on 6 of 1275% to 79%
Qwen3.8 Max 090277%on 6 of 1271% to 78%
GPT-5.6 Luna76%on 6 of 1274% to 82%

The range shows the lowest and highest result observed across repeated questions. It is not a confidence interval.

Evidence summary.

Each verified dimension starts with the company position and its citations. Open a dimension only when you want the underlying questions or model answers.

Distribution

Market allocation ↔ Redistribution

Not verified

No company position

No evidence establishes a qualifying compensation, ownership, or pay-equity practice.

Purpose

Shareholder returns ↔ Stakeholder welfare

75%

Company position toward stakeholder welfare

DeepL commits resources to selected NGOs and matches employee donations.

Sustained community commitment

“Through our dedicated NGO program, we equip select non-profits with AI that breaks down language barriers and amplifies their impact.”

How does DeepL amplify the work of NGOs?

“Our donation matching program is designed to amplify voluntary charity donations made by DeepL employees up to a specified annual cap.”

How does DeepL amplify the work of NGOs?

Worker voice

Management discretion ↔ Employee influence

Not verified

No company position

The verified quotation does not contain the wording its evidence anchor requires.

“Within DeepL, the People Team has internal responsibility for ensuring that employees are aware of this statement and its impact, and feel empowered to raise potential concerns in relation to its application, without fear of retaliation.”

DeepL Modern Slavery & Human Rights Statement 2026

Equality

Uniform treatment ↔ Targeted measures

Not verified

No company position

Inclusion and ERG material does not establish a qualifying equal-opportunity standard or targeted employment program.

Speech

Broad expression ↔ Protective moderation

Not verified

No company position

Supplier requirements do not establish DeepL's own employee-expression or platform-content policy.

Privacy

Individual privacy ↔ Collective oversight

25%

Company position toward collective oversight

DeepL sets a maximum retention period and automatic deletion for unsuccessful candidate data, subject to legal duties or consent.

Deletion and limited retention

“Unsuccessful Candidates: In the event your application is unsuccessful, we will retain the information you have provided to us for a maximum of another six months from the date you are notified. We will then delete the data automatically, unless we are required by law to retain it for a longer period of if you have consented to a longer storage of your data.”

DeepL Privacy Notice for Candidates

Regulation

Voluntary standards ↔ Public regulation

0%

Company position toward public regulation

DeepL states that it follows named certifications and standards beyond legal compliance alone.

Voluntary standard

“DeepL has always complied with strict security and data privacy standards, such as ISO 27001, SOC 2 Type 2, and GDPR.”

DeepL's enterprise security features for Language AI: BYOK, MFA, audit logs, and more

Global outlook

Local priority ↔ International openness

75%

Company position toward international openness

DeepL documents a multi-country workforce and worldwide business use.

International operating footprint

“Our team by the numbers across our hubs in Germany, Japan, the Netherlands, the UK, and the USA. 1000+ employees worldwide 90+ nationalities”

Life at DeepL: innovation and collaboration

“Today, more than 200,000 business teams and millions of individuals worldwide – across every major industry – rely on DeepL to power their most critical language workflows with accuracy, human-like quality, and enterprise-grade security.”

About Us: DeepL's mission to break down language barriers

Social change

Continuity ↔ Experimentation

75%

Company position toward experimentation

DeepL describes prototyping, customer interviews, beta rollout, feedback collection, and revision before broader release.

Pilot and iteration

“At the start of the design process, we built an interactive prototype and began conducting interviews with existing customers — both admins and end users.”

Meet DeepL: how we built a better Pro experience

“From there, we refined the design and launched it gradually, first to our Beta users, then to all Pro users. After going live, we followed up with a user survey to collect even more feedback, and we’re continuing to iterate and evolve the experience based on what we’ve learned.”

Meet DeepL: how we built a better Pro experience

Environment

Near-term growth ↔ Ecological restraint

75%

Company position toward ecological restraint

DeepL commits to renewable sourcing and measures electricity use while reducing operational energy demand.

Emissions reduction target

“Our policy is to select headquarters and data centers that offer renewable electricity options, and we are actively working toward 100% renewable sourcing across our primary facilities. We monitor our electricity usage (Scope 2) to ensure our growth remains as efficient as possible.”

Harnessing AI the sustainable way | DeepL

“Beyond our code, our teams carry this mindset into our offices, applying energy‑saving protocols that lower our operational energy demand and make efficiency a shared priority across the company.”

Harnessing AI the sustainable way | DeepL

Tech pace

Rapid advancement ↔ Precaution

Not verified

No company position

The verified quotation does not contain the wording its evidence anchor requires.

“Safety and transparency by design We develop our technology using bias-mitigation frameworks and safety evaluations throughout the lifecycle.”

DeepL Business Ethics & Responsible AI Governance

AI autonomy

Delegated autonomy ↔ Human authority

Not verified

No company position

The verified quotation does not contain the wording its evidence anchor requires.

“Please note that where we use AI tools in connection with your application, these are for guidance purposes only and they will not be used to make decisions autonomously without human review and assessment.”

DeepL Privacy Notice for Candidates

Leadership context and reported tensions

Personal opinions are kept separate from the company profile. Reported conduct does not silently replace stated commitments.

Jarek Kutyłowski: Leadership in AI means building technology that genuinely improves people’s lives. Growth is not just about scaling technology, it’s about creating tools that work for people, tools that support, empower, and connect them, wherever they are. Corporate statement Source: retrieved Sep 24, 2026

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Protocol values-2026-09-v8. Panel representative-2026-09-v11. Report version a26f2ec0-b892-4409-82a5-cc696224eba8.