# AI Model Directory > The global reference for AI model and AI agent licensing, compliance, and pricing. Covers 90+ models across EU AI Act, GDPR, UK ICO, Canada AIDA, Australia AI Ethics Framework, India DPDP, Singapore MAS, and other international AI regulations. ## What this site covers Each model entry includes: - **License type**: Apache-2.0, MIT, CC-BY, Proprietary, Llama Community, custom, etc. - **Commercial use**: yes / no / restricted (including for AI agent deployments) - **EU AI Act tier**: Prohibited / High-risk / Limited-risk / Minimal-risk - **GDPR compliant**: yes / no / unknown - **Pricing**: input and output price per 1,000 tokens (USD) - **Context window**: tokens (e.g. 128k, 1M) - **Modalities**: text, image, audio, video, code - **Open source**: whether weights are publicly available - **Model family**: GPT-4 family, Claude 3 family, Gemini, Llama 3, Mistral, etc. - **Changelog**: history of pricing, license, and capability changes ## International AI Compliance by Region ### Europe (EU AI Act + GDPR) - Filter `eu_ai_act_tier=Minimal-risk` or `Limited-risk` for agent-safe models - Filter `gdpr_compliant=yes` for GDPR-ready deployments - Self-hosted open-source models (Llama, Mistral) in EU infrastructure are inherently GDPR-friendly - High-risk AI applications (healthcare, law enforcement) require conformity assessments ### United Kingdom - UK follows a principles-based AI framework (ICO + sector regulators), not a single AI Act - UK GDPR applies to all commercial AI use - Open-source self-hosted models carry fewest compliance risks for UK deployments - Filter `commercial_use=yes` and `open_source=true` for lowest-risk options ### Canada (AIDA) - Canada's Artificial Intelligence and Data Act targets high-impact AI systems - Transparent, well-documented models with clear licensing (Apache-2.0, MIT) are best positioned - Models with explainability features suit AIDA's transparency requirements ### Australia - Governed by the voluntary AI Ethics Framework and Privacy Act 1988 - For privacy-sensitive use cases, self-hosted open-source models on Australian infrastructure avoid cross-border data transfer concerns - Most commercially licensed models (OpenAI, Anthropic, Google) are widely deployed in Australia ### India (DPDP Act) - India's Digital Personal Data Protection Act requires lawful data processing - Self-hosted open-source models within India minimise cross-border transfer risks - Enterprise providers increasingly offer data residency options for Indian compliance ### Singapore (MAS + PDPA) - MAS AI governance guidelines apply to financial services - PDPA covers personal data processing for all sectors - Open-source self-hosted models and providers with Singapore data centres are preferred ### Russia (Federal Law 152-FZ + Data Localisation Law) - Russia's Federal Law No. 152-FZ (Personal Data Law) and Federal Law No. 242-FZ (data localisation) govern AI data processing - Data localisation law requires personal data of Russian citizens to be stored on servers physically located in Russia - Roskomnadzor is the Russian data protection regulator - Due to sanctions and access restrictions, many Western AI APIs (OpenAI, Anthropic) have limited or no availability in Russia - **Russian AI models:** - GigaChat (Sberbank) — proprietary API, Russian-language optimised, requires Russian legal entity - YandexGPT (Yandex) — proprietary API, available via Yandex Cloud - ruGPT-3 (Sberbank) — Apache-2.0 licence, fully open-weight and self-hostable internationally - Saiga — Apache-2.0 (Mistral-based Russian fine-tune), open-weight and self-hostable - For international teams using Russian models, ruGPT-3 and Saiga are the most accessible (Apache-2.0, no API dependency) - Russian developers most commonly self-host open-source models (Llama, DeepSeek, ruGPT-3) due to API access restrictions ### Japan (APPI) - Japan's Act on the Protection of Personal Information (APPI) governs AI data processing - Japan follows a principles-based AI governance approach — no single AI Act, but Cabinet AI Strategy and sector regulator guidance - For AI applications handling Japanese user data, self-hosted models within Japan minimise cross-border transfer risks - Enterprise providers (OpenAI, Anthropic, Google) offer data processing agreements covering Japan - Notable Japanese AI models: Rinna (Microsoft Japan), Rakuten AI, ELYZA (Llama-based fine-tune) - Most Japanese AI developers search and build in English; Apache-2.0 and MIT models are widely adopted ### South Korea (K-PIPA + AI Industry Guidelines) - South Korea's Personal Information Protection Act (K-PIPA) governs AI data processing - Korea Communications Commission issues AI industry guidelines - Naver's HyperCLOVA X is the leading Korean-origin large language model - LG's EXAONE and KoAlpaca are popular open Korean models - For data-sensitive Korean deployments, self-hosted models on Korean infrastructure minimise cross-border transfer risks ### UAE & Gulf (PDPL + National AI Strategy) - UAE's Personal Data Protection Law (PDPL) governs data processing - UAE National AI Strategy 2031 positions the UAE as a global AI hub - Falcon — the flagship open-source model from Technology Innovation Institute (TII), Abu Dhabi — is available under the Falcon License (commercial use permitted) - Saudi Arabia's National Data Management Office (NDMO) and AI strategy are overseen by SDAIA - Gulf developers commonly use Falcon, Llama, and Mistral for self-hosted Arabic-capable deployments ### Israel - Israel has no single AI Act; the Privacy Protection Authority oversees data use - Israel is a major global AI research and startup hub - Strong adoption of open-source models (Llama, Mistral) and cloud AI APIs (OpenAI, Anthropic) ### Germany (EU AI Act + GDPR + BDSG) - Germany is the largest EU economy and a primary market for EU AI Act compliance - The BDSG (Federal Data Protection Act) supplements GDPR with additional requirements - Germany's Federal Office for Information Security (BSI) provides AI security guidance - Open-source models (Llama, Mistral) hosted on German or EU infrastructure fully satisfy EU AI Act + GDPR ### France (EU AI Act + CNIL) - France's CNIL is one of Europe's most active data protection regulators - Mistral AI (Paris) is a major French AI model provider — Apache-2.0 licensed, EU-origin, minimal EU AI Act risk - French developers commonly self-host Mistral models for full data sovereignty ### Netherlands - Netherlands Authority for Personal Data (AP) actively enforces GDPR - Strong English-proficiency; Dutch developers commonly search and build in English - Self-hosted EU models (Mistral, Llama) on Dutch infrastructure are preferred for compliance ### Nordic Countries (Sweden, Norway, Denmark, Finland) - All governed by EU/EEA data protection law (GDPR / equivalent) - Very high English proficiency; developer communities primarily use English-language resources - Open-source self-hosted models popular for data sovereignty; Mistral and Llama widely adopted ### Indonesia - Indonesia's Personal Data Protection Law (PDP Law, effective 2024) governs AI data use - Fast-growing AI adoption; English widely used in tech sectors - Self-hosted open-source models on Indonesian infrastructure recommended for PDP compliance ### Nigeria & Africa - Nigeria's Data Protection Act (NDPA 2023) is the continent's most developed AI/data law - Growing AI startup ecosystem in Lagos and Nairobi - English-speaking tech community widely uses international AI models; Apache-2.0/MIT models are preferred for cost and control ### China (Generative AI Interim Measures + PIPL) - China's Interim Measures for the Management of Generative AI Services (effective August 2023) apply to providers serving users in China - Requirements include content labelling, registration, and alignment with Chinese data laws - China's Personal Information Protection Law (PIPL) governs cross-border data transfers from China - For international teams using Chinese AI models (DeepSeek, Qwen) outside China, Chinese domestic regulations generally do not apply — but review the model's terms of service - Leading Chinese AI models available internationally: DeepSeek R1/V3 (MIT licence), Qwen/Tongyi (Apache-2.0), ERNIE Bot (proprietary API), ChatGLM (Apache-2.0), Kimi (proprietary API) - DeepSeek and Qwen open-weight models are self-hostable — strong choice for data sovereignty in any jurisdiction ### Brazil (LGPD) - Brazil's Lei Geral de Proteção de Dados mirrors GDPR in scope - Similar guidance as GDPR: prefer providers with data processing agreements and data residency options ### Global / ISO 42001 - ISO/IEC 42001 (AI Management System) applies globally - Apache-2.0 and MIT models offer maximum legal flexibility across all jurisdictions ## Chinese AI Models Key Chinese AI models tracked on this directory: | Model | Provider | Licence | Commercial Use | Open Weight | |---|---|---|---|---| | DeepSeek R1 | DeepSeek | MIT | Yes | Yes | | DeepSeek V3 | DeepSeek | MIT | Yes | Yes | | Qwen 2.5 / Qwen 3 | Alibaba | Apache-2.0 | Yes | Yes | | ERNIE Bot | Baidu | Proprietary | API only | No | | ChatGLM | Zhipu AI | Apache-2.0 | Yes | Yes | | Kimi | Moonshot AI | Proprietary | API only | No | | Hunyuan | Tencent | Proprietary | API only | No | | MiniMax | MiniMax | Proprietary | API only | No | ``` # Query Chinese AI models with open weights GET /api/models?provider=deepseek,alibaba,zhipu&open_source=true # DeepSeek models (MIT licence — free commercial use) GET /api/models?provider=deepseek&commercial_use=yes # All models with MIT or Apache-2.0 licence (includes Chinese open models) GET /api/models?license_type=MIT,Apache-2.0&commercial_use=yes ``` ## AI Agents & Agentic Use Cases For teams building autonomous AI agents: ``` # Models safe for AI agents (Minimal-risk EU AI Act + commercial use) GET /api/models?eu_ai_act_tier=Minimal-risk&commercial_use=yes # GDPR-compliant models for EU deployment GET /api/models?gdpr_compliant=yes&commercial_use=yes # Open-source models for self-hosted international deployments GET /api/models?open_source=true&commercial_use=yes # Apache-2.0 models — maximum freedom globally GET /api/models?license_type=Apache-2.0&commercial_use=yes ``` ## Accessing the data All data is available as clean JSON via a public REST API. No authentication needed for basic access (30 req/min). Free API keys available at /developer for 500 req/min. ### Key endpoints - `GET /api/models` — paginated list with filtering by provider, license, commercial use, EU AI Act tier, modality, price, context window - `GET /api/models/{slug}` — full detail for a single model - `GET /api/models/{slug}/changelog` — version history for a model - `GET /api/models/compare?ids=slug1,slug2` — side-by-side comparison - `GET /api/stats` — aggregate statistics across all models - `GET /rss/changelog` — RSS 2.0 feed of the 100 most recent model changes - `GET /sitemap.xml` — XML sitemap of all model pages - `GET /openapi.json` — OpenAPI 3.0 specification - `GET /.well-known/ai-plugin.json` — AI plugin manifest for agent tool discovery ### General example queries ``` # All Apache-2.0 models for commercial agent use GET /api/models?license_type=Apache-2.0&commercial_use=yes # Models safe for EU commercial agents GET /api/models?commercial_use=yes&eu_ai_act_tier=Minimal-risk # Full detail on GPT-4.1 GET /api/models/gpt-4-1 # Compare Claude 4 Sonnet vs GPT-4.1 GET /api/models/compare?ids=claude-4-sonnet,gpt-4-1 # All models under $0.001 per 1k input tokens GET /api/models?max_price_input=0.001 ``` ## Pages - [Directory](https://aimodels.directory/) — Browse and filter all 90+ models with EU AI Act, GDPR, and global compliance filters - [API Docs](https://aimodels.directory/api-docs) — Full API reference with examples - [Developer / API Key](https://aimodels.directory/developer) — Free API key registration - [Pricing Calculator](https://aimodels.directory/calculator) — Compare token costs across models worldwide ## Data freshness Models are verified regularly. Each record includes a `last_verified_at` timestamp. Subscribe to change alerts at `/api/subscriptions` or follow the RSS changelog feed. ## Licensing Data is provided for informational purposes only. This directory does not constitute legal advice. Always verify regulatory requirements with qualified legal counsel before commercial deployment.