"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”
Location: Singapore ⓘ MOONSHOT AI PTE. LTD., Singapore Ltd.
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 audience | Assessment |
|---|---|
| Private individuals | Conditionally – Kimi Chat can be used, but this provider assessment is primarily relevant here as an API/LLM platform. |
| Self-employed / freelancers | Yes, technically oriented – suitable for research, coding, agents, long-context tasks, and API integration. |
| SMEs | Conditionally – powerful models, but the data protection, transfer, and contractual situation must be reviewed. |
| Large enterprises | Conditionally – enterprise contact available, but no verified EU DPA/data processing agreement structure was found publicly. |
| Developers / teams | Yes – strong focus on OpenPlatform, API, long context, tool calling, web search, code runner, and agents. |
| Privacy-sensitive organizations | Rather 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 / family | Type | Best suited for |
|---|---|---|
| kimi-k2.6 | Current multimodal Kimi model | Coding, agents, long execution, visual and text-based tasks, autonomous workflows. (Moonshot AI) |
| kimi-k2.5 | Multimodal Kimi model | Dialogue, agents, text and image input, thinking/non-thinking mode. (Moonshot AI) |
| kimi-k2-0905-preview | K2 model | Agentic coding, frontend development, context processing. (Kimi API Platform) |
| kimi-k2-0711-preview | K2 MoE | Coding, agents, reasoning; 1T total / 32B active according to the Kimi-K2 documentation. (Kimi API Platform) |
| kimi-k2-turbo-preview | Fast K2 variant | Low latency, fast agent and chat workflows. (Kimi API Platform) |
| kimi-k2-thinking | Reasoning model | Multi-step tool reasoning, complex research, deep thinking. (Kimi API Platform) |
| kimi-k2-thinking-turbo | Fast reasoning variant | Faster deep reasoning and agent tasks. (Kimi API Platform) |
| moonshot-v1-8k | Text model | Short chat, text, and API tasks. (Kimi API Platform) |
| moonshot-v1-32k | Text model | Medium-length documents, summaries, chat. (Kimi API Platform) |
| moonshot-v1-128k | Long-context text model | Long documents, RAG, legal or technical text analysis. (Kimi API Platform) |
| moonshot-v1-8k-vision-preview | Vision model | Short multimodal image/text tasks. (Kimi API Platform) |
| moonshot-v1-32k-vision-preview | Vision model | Image analysis with medium context. (Kimi API Platform) |
| moonshot-v1-128k-vision-preview | Long-context vision model | Multimodal documents, long image/text contexts. (Kimi API Platform) |
| kimi-latest / kimi-thinking-preview | Deprecated | Not recommended for new projects. (Kimi API Platform) |
Hosting & Data
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
| On-prem / local hosting | ✅ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ❓ |
| Hybrid | ✅ |
| DPA / AVV | ❓ |
| No training on customer data | ❓ |
| Open source / transparency path | ✅ |
Overall assessment:
API/SaaS LLM platform with a strong focus on long context, coding, and agents, but without guaranteed European data residency. Kimi is provided as an API via the Kimi OpenPlatform and offers models such as Kimi K2.6, Kimi K2.5, Kimi K2, and Moonshot V1. Hosting model: SaaS/API via the Moonshot/Kimi platform; no guaranteed information available on on-prem, private cloud, or EU SaaS as a standard offering. Data processing: The Privacy Policy mentions account data, user content, communication data, log data, device/usage data, and cookies; user content may be used for service provision as well as for improvement, development, model training, and model refinement. Retention: Data is stored for as long as necessary for service provision, legitimate business purposes, security, dispute resolution, or legal obligations; account, input, and payment information, for example, is retained during active account use. Integrations/features: Kimi lists web search, memory, Excel/CSV analysis, Code Runner, QuickJS, Fetch, tool calling, and agentic workflows.
Conclusion:
Technically strong for long context, coding, research, and agents; only suitable to a limited extent for EU data protection as long as there is no verified AVV/DPA, no EU data residency, and no reliable non-training commitment for customer data. Sources: Kimi API Platform, Privacy Policy, Terms, and Pricing documentation.
| On-prem / local hosting | ✅ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ❓ |
| Hybrid | ✅ |
| DPA / AVV | ❓ |
| No training on customer data | ❓ |
| Open source / transparency path | ✅ |
Overall assessment:
API/SaaS LLM platform with a strong focus on long context, coding, and agents, but without guaranteed European data residency. Kimi is provided as an API via the Kimi OpenPlatform and offers models such as Kimi K2.6, Kimi K2.5, Kimi K2, and Moonshot V1. Hosting model: SaaS/API via the Moonshot/Kimi platform; no guaranteed information available on on-prem, private cloud, or EU SaaS as a standard offering. Data processing: The Privacy Policy mentions account data, user content, communication data, log data, device/usage data, and cookies; user content may be used for service provision as well as for improvement, development, model training, and model refinement. Retention: Data is stored for as long as necessary for service provision, legitimate business purposes, security, dispute resolution, or legal obligations; account, input, and payment information, for example, is retained during active account use. Integrations/features: Kimi lists web search, memory, Excel/CSV analysis, Code Runner, QuickJS, Fetch, tool calling, and agentic workflows.
Conclusion:
Technically strong for long context, coding, research, and agents; only suitable to a limited extent for EU data protection as long as there is no verified AVV/DPA, no EU data residency, and no reliable non-training commitment for customer data. Sources: Kimi API Platform, Privacy Policy, Terms, and Pricing documentation.
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. |
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GDPR-compliant usage possible?
Overall assessment: Unclear to conditionally GDPR-suitable. According to the official Privacy Policy, the Kimi OpenPlatform is provided by MOONSHOT AI PTE. LTD. in Singapore; for users from the EEA, Switzerland, and the UK, the policy contains supplementary data protection information and legal bases.
Positive is that data subject rights such as access, deletion, rectification, restriction, data portability, objection, and the right to lodge a complaint are described.
Negative is that the policy covers User Content—i.e., prompts, audio, images, videos, files, and generated content—and explicitly states that data may be used to improve, develop, train, and refine the underlying technology, such as machine learning models.
Server location: according to the policy, the servers are located in Singapore; personal data may be processed and stored there. No verified information is publicly available regarding a DPA/AVV, EU hosting, SCCs, or a complete list of subprocessors for EU customers. For GDPR-critical use, Kimi is therefore only advisable after additional contractual review and, if possible, without personal or confidential data. Sources: Kimi OpenPlatform Privacy Policy and Terms of Service.