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"Seeking the optimal conversion from energy to intelligence"

Moonshot AI is the provider behind Kimi, an LLM and agent platform focused on long contexts, coding, deep research, documents, spreadsheets, slides, web search, and multimodal processing. The Kimi API offers models such as Kimi K2.6, K2.5, K2, and Moonshot-v1.
Moonshot AI

LLM “Seeking the optimal conversion from energy to intelligence”

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4.2/10 KIFOX Score – Limited

Location: Singapore MOONSHOT AI PTE. LTD., Singapore Ltd.

Function Calling AI Agents LLM API Multimodal AI Open Source Model Programming Reasoning Model Language Model Text Generation
Other Pay-as-you-go API Flexible, usage-based billing according to input and output tokens, model selection, and, where applicable, document/tool usage; suitable for developers and small teams.

Kimi K2.6 / K2.5 / K2 / Moonshot V1 Model families for multimodal or text-based tasks, long context, coding, agents, reasoning, and dialogue tasks.

Enterprise Solutions & Customization For medium-sized and large companies with flexible rate limits, multi-project deployments, support, SLA-oriented reliability, and individual agreements according to the platform page.

Target audience
Moonshot AI / Kimi is suitable for developers, knowledge workers, research teams, analysts, consultants, lawyers, product teams, and companies that want to combine long documents, web research, coding, spreadsheets, and agents in one AI workflow.

Outstanding features
Kimi combines large language models with integrated tools for web search, code execution, Excel, memory, fetch, and file processing. The platform is particularly strong in long-context tasks, deep research, coding agents, and office-adjacent workflows.

Main use cases
Kimi is used for programming, research, document analysis, market analysis, spreadsheet work, legal pre-screening, presentations, deep research, and agent automation.

Usage & notes
For non-critical research, Kimi is practical; for personal or confidential data, caution is advised because the API terms allow content use for service improvement, and EU-only/DPA is not clearly documented publicly.

Target audienceAssessment
Private individualsConditionally – Kimi Chat can be used, but this provider assessment is primarily relevant here as an API/LLM platform.
Self-employed / freelancersYes, technically oriented – suitable for research, coding, agents, long-context tasks, and API integration.
SMEsConditionally – powerful models, but the data protection, transfer, and contractual situation must be reviewed.
Large enterprisesConditionally – enterprise contact available, but no verified EU DPA/data processing agreement structure was found publicly.
Developers / teamsYes – strong focus on OpenPlatform, API, long context, tool calling, web search, code runner, and agents.
Privacy-sensitive organizationsRather critical – server location Singapore, model training/service improvement with user content possible according to policy, no verified data processing agreement found publicly.

Moonshot AI / Kimi – Model overview

Model / familyTypeBest suited for
kimi-k2.6Current multimodal Kimi modelCoding, agents, long execution, visual and text-based tasks, autonomous workflows. (Moonshot AI)
kimi-k2.5Multimodal Kimi modelDialogue, agents, text and image input, thinking/non-thinking mode. (Moonshot AI)
kimi-k2-0905-previewK2 modelAgentic coding, frontend development, context processing. (Kimi API Platform)
kimi-k2-0711-previewK2 MoECoding, agents, reasoning; 1T total / 32B active according to the Kimi-K2 documentation. (Kimi API Platform)
kimi-k2-turbo-previewFast K2 variantLow latency, fast agent and chat workflows. (Kimi API Platform)
kimi-k2-thinkingReasoning modelMulti-step tool reasoning, complex research, deep thinking. (Kimi API Platform)
kimi-k2-thinking-turboFast reasoning variantFaster deep reasoning and agent tasks. (Kimi API Platform)
moonshot-v1-8kText modelShort chat, text, and API tasks. (Kimi API Platform)
moonshot-v1-32kText modelMedium-length documents, summaries, chat. (Kimi API Platform)
moonshot-v1-128kLong-context text modelLong documents, RAG, legal or technical text analysis. (Kimi API Platform)
moonshot-v1-8k-vision-previewVision modelShort multimodal image/text tasks. (Kimi API Platform)
moonshot-v1-32k-vision-previewVision modelImage analysis with medium context. (Kimi API Platform)
moonshot-v1-128k-vision-previewLong-context vision modelMultimodal documents, long image/text contexts. (Kimi API Platform)
kimi-latest / kimi-thinking-previewDeprecatedNot recommended for new projects. (Kimi API Platform)

Hosting & Data

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
?

1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.

2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.

3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.

4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.

5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.

6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.

7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options

✅ = well covered ⚠️ = partial / indirect ❓ = not available / unclear
On-prem / local hosting
Private cloud / data center
EU SaaS / Managed
Hybrid ⚠️
DPA / AVV
No training on customer data
Open source / transparency path ⚠️

On-prem / local hosting: indirect / not available

The website does not mention any on-premises or local deployment of the Moonshot/Kimi models on the customer’s own infrastructure. There are only references to the local use of external tools such as OpenClaw or MoonPalace, not to a self-hostable model offering.

Private Cloud / Data Center: Unclear

The homepage mentions enterprise solutions and “security and compliance assurance,” but the website does not specify a dedicated private cloud deployment, an isolated EU/EEA data center, or comparable controlled hosting models.

EU SaaS / Managed: unclear

A managed SaaS offering is clearly identifiable, but EU/EEA data residency or an EU/EEA data center are not specified on the website. Therefore, EU SaaS operations cannot be verified.

Hybrid: Partially

OpenClaw describes a local or self-hosted agent path that can be combined with Kimi as an external model provider. This indirectly indicates a hybrid usage model, though it is not an officially described hybrid product with data protection or EU hosting guarantees.

SLA / DPA: unclear

Although an “Order Form” is mentioned in the Terms, no DPA or publicly available data processing agreement is provided on the website.

No Training: Unclear

No clear disclaimer can be found on the website stating that prompts, uploads, chat histories, or outputs will not be used to train general-purpose models. On the contrary, MoonPalace refers to the export of BadCase data to improve model capabilities; no opt-out option is specified on the website.

Open Source / Transparency Path: Partial

There is a discernible transparency path regarding open-source references: Kimi K2.5 is described as “open-source SoTA,” Kimi CLI is referred to as an open-source AI agent, and OpenClaw is described as an open-source/self-hosted platform. However, the actual hosting, compliance, and sovereignty options for the core offering are only partially documented.

Data Processing

The website describes an API/cloud model with file uploads, file storage, and various official tools. This suggests that external data processing by the provider is likely. For enterprise customers, data protection and compliance safeguards are mentioned in general terms. Specific details regarding data location, storage location, retention periods, subprocessors, international data transfers, or EU/EEA data residency are not provided on the website.

Conclusion

For users in Europe, based on the specified domain, it is not possible to provide reliable evidence of GDPR-compliant use. Positive aspects include the availability of legal documents, Enterprise-specific information, and a certain degree of open-source and local integration options. However, the key compliance evidence required for EU/EEA use is missing for a positive or even merely qualified assessment.

Sources

On-prem / local hosting
Private cloud / data center
EU SaaS / Managed
Hybrid ⚠️
DPA / AVV
No training on customer data
Open source / transparency path ⚠️

On-prem / local hosting: indirect / not available

The website does not mention any on-premises or local deployment of the Moonshot/Kimi models on the customer’s own infrastructure. There are only references to the local use of external tools such as OpenClaw or MoonPalace, not to a self-hostable model offering.

Private Cloud / Data Center: Unclear

The homepage mentions enterprise solutions and “security and compliance assurance,” but the website does not specify a dedicated private cloud deployment, an isolated EU/EEA data center, or comparable controlled hosting models.

EU SaaS / Managed: unclear

A managed SaaS offering is clearly identifiable, but EU/EEA data residency or an EU/EEA data center are not specified on the website. Therefore, EU SaaS operations cannot be verified.

Hybrid: Partially

OpenClaw describes a local or self-hosted agent path that can be combined with Kimi as an external model provider. This indirectly indicates a hybrid usage model, though it is not an officially described hybrid product with data protection or EU hosting guarantees.

SLA / DPA: unclear

Although an “Order Form” is mentioned in the Terms, no DPA or publicly available data processing agreement is provided on the website.

No Training: Unclear

No clear disclaimer can be found on the website stating that prompts, uploads, chat histories, or outputs will not be used to train general-purpose models. On the contrary, MoonPalace refers to the export of BadCase data to improve model capabilities; no opt-out option is specified on the website.

Open Source / Transparency Path: Partial

There is a discernible transparency path regarding open-source references: Kimi K2.5 is described as “open-source SoTA,” Kimi CLI is referred to as an open-source AI agent, and OpenClaw is described as an open-source/self-hosted platform. However, the actual hosting, compliance, and sovereignty options for the core offering are only partially documented.

Data Processing

The website describes an API/cloud model with file uploads, file storage, and various official tools. This suggests that external data processing by the provider is likely. For enterprise customers, data protection and compliance safeguards are mentioned in general terms. Specific details regarding data location, storage location, retention periods, subprocessors, international data transfers, or EU/EEA data residency are not provided on the website.

Conclusion

For users in Europe, based on the specified domain, it is not possible to provide reliable evidence of GDPR-compliant use. Positive aspects include the availability of legal documents, Enterprise-specific information, and a certain degree of open-source and local integration options. However, the key compliance evidence required for EU/EEA use is missing for a positive or even merely qualified assessment.

Sources

Strengths & weaknesses at a glance

Strengths Weaknesses
• Strong agent and coding focus. • GDPR situation for EU companies unclear.
• 256K context in current Kimi-K2 models. • API Terms allow the use of content for the development/improvement of the services.
• Tools for research, Excel, code, and documents. • No publicly documented EU-only operation and no publicly found DPA.
• Open Kimi-K2 path for self-hosting/research. • According to the documentation, K2 predecessor models are being discontinued.

Data last updated: 6. May 2026

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