Best AI Models 2026
The #1 ai models in 2026 is mongodb-mcp-server Nerq 신뢰 점수 87/100 (A), based on Nerq's independent analysis of 50 ai models across 5 trust 차원. 매일 업데이트 — 마지막 업데이트: 2026-11-05.
Nerq에 따르면's analysis, the top 5 ai models by trust score are: 1. mongodb-mcp-server (87/100), 2. @mastra/datadog (84/100), 3. @ai-sdk/anthropic (84/100), 4. @microsoft/api-extractor-model (84/100), 5. @ai-sdk/openai (84/100). Nerq Trust Scores range from 80 to 87 among the top 50. Scores are based on 5 independent trust 차원 including 보안, 유지보수, and 커뮤니티 채택. 매일 업데이트.
| # | 이름 | 신뢰 | 등급 |
|---|---|---|---|
| 1 | mongodb-mcp-server | 87 | A |
| 2 | @mastra/datadog | 84 | A- |
| 3 | @ai-sdk/anthropic | 84 | A- |
| 4 | @microsoft/api-extractor-model | 84 | A- |
| 5 | @ai-sdk/openai | 84 | A- |
| 6 | @scalar/openapi-to-markdown | 84 | A- |
| 7 | @google/model-viewer | 83 | A- |
| 8 | @antv/mcp-server-chart | 83 | A- |
| 9 | @mlc-ai/web-llm | 83 | A- |
| 10 | @lobehub/icons | 83 | A- |
Top 50 AI Models Nerq 신뢰 점수 기준
| # | 이름 | 신뢰 | 등급 | 별점 | 설명 |
|---|---|---|---|---|---|
| 1 | mongodb-mcp-server | 87 | A | 385.4k | MongoDB Model Context Protocol Server |
| 2 | @mastra/datadog | 84 | A- | 16.9k | Datadog LLM Observability exporter for Mastra - exports tracing data to Datadog's LLM Observability ... |
| 3 | @ai-sdk/anthropic | 84 | A- | 3040.3k | The **[Anthropic provider](https://ai-sdk.dev/providers/ai-sdk-providers/anthropic)** for the [AI SD... |
| 4 | @microsoft/api-extractor-model | 84 | A- | 3222.1k | A helper library for loading and saving the .api.json files created by API Extractor |
| 5 | @ai-sdk/openai | 84 | A- | 3700.3k | The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](htt... |
| 6 | @scalar/openapi-to-markdown | 84 | A- | 33.8k | Create plain Markdown from OpenAPI documents (for LLMs) |
| 7 | @google/model-viewer | 83 | A- | 145.4k | Easily display interactive 3D models on the web and in AR! |
| 8 | @antv/mcp-server-chart | 83 | A- | 13.6k | A Model Context Protocol server for generating charts using AntV. This is a TypeScript-based MCP ser... |
| 9 | @mlc-ai/web-llm | 83 | A- | 37.5k | Hardware accelerated language model chats on browsers |
| 10 | @lobehub/icons | 83 | A- | 81.5k | Popular AI / LLM Model Brand SVG Logo and Icon Collection |
| 11 | @openrouter/ai-sdk-provider | 83 | A- | 611.0k | The [OpenRouter](https://openrouter.ai/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs... |
| 12 | @mariozechner/pi-ai | 83 | A- | 2148.8k | Unified LLM API with automatic model discovery and provider configuration |
| 13 | @openrouter/sdk | 83 | A- | 271.8k | The OpenRouter TypeScript SDK is a type-safe toolkit for building AI applications with access to 300... |
| 14 | onnxruntime-web | 83 | A- | 986.4k | A Javascript library for running ONNX models on browsers |
| 15 | @ai-sdk/gateway | 83 | A- | 40599.2k | The Gateway provider for the [AI SDK](https://ai-sdk.dev/docs) allows the use of a wide variety of A... |
| 16 | @opentelemetry/instrumentation-mongoose | 82 | A- | 23075.2k | OpenTelemetry instrumentation for `mongoose` database object data modeling (ODM) library for MongoDB |
| 17 | @lokalise/background-jobs-common | 82 | A- | 2.2k | This library provides a basic abstraction over BullMQ-powered background jobs. There are two types a... |
| 18 | @gooddata/sdk-model | 82 | A- | 8.5k | GoodData Model definitions used by UI components and Backend SPI |
| 19 | @mastra/fastembed | 82 | A- | 6.6k | This package provides a FastEmbed embedding model integration for use with Mastra Memory. |
| 20 | @vaadin/hilla-models | 82 | A- | 1.4k | Generative form models for Hilla |
| 21 | @botpress/zai | 82 | A- | 11.4k | Zui AI (zai) – An LLM utility library written on top of Zui and the Botpress API |
| 22 | @angular-architects/native-federation | 82 | A- | 41.8k | Native Federation is a "browser-native" implementation of the successful mental model behind webpack... |
| 23 | @ai-sdk/groq | 82 | A- | 639.7k | The **[Groq provider](https://ai-sdk.dev/providers/ai-sdk-providers/groq)** for the [AI SDK](https:/... |
| 24 | @ai-sdk/xai | 82 | A- | 803.9k | The **[xAI Grok provider](https://ai-sdk.dev/providers/ai-sdk-providers/xai)** for the [AI SDK](http... |
| 25 | @vaadin/hilla-generator-plugin-model | 82 | A- | 4.0k | A Hilla TypeScript Generator plugin to generate form models |
| 26 | @ai-sdk/mistral | 82 | A- | 566.5k | The **[Mistral provider](https://ai-sdk.dev/providers/ai-sdk-providers/mistral)** for the [AI SDK](h... |
| 27 | @ag-grid-community/client-side-row-model | 82 | A- | 162.3k | Advanced Data Grid / Data Table supporting Javascript / Typescript / React / Angular / Vue |
| 28 | @langchain/mcp-adapters | 82 | A- | 121.7k | LangChain.js adapters for Model Context Protocol (MCP) |
| 29 | @llamaindex/chat-ui | 82 | A- | 1.4k | Chat UI components for LLM apps |
| 30 | @memberjunction/ai-bedrock | 82 | A- | 1.9k | MemberJunction Wrapper for Amazon Bedrock AI Models |
| 31 | @memberjunction/ai-anthropic | 82 | A- | 2.0k | MemberJunction Wrapper for Anthropic AI Models |
| 32 | @memberjunction/ai-openai | 82 | A- | 2.0k | MemberJunction Wrapper for OpenAI AI Models |
| 33 | @codingame/monaco-vscode-model-service-override | 82 | A- | 36.8k | VSCode public API plugged on the monaco editor - model service-override |
| 34 | assemblyai | 82 | A- | 200.1k | The AssemblyAI JavaScript SDK provides an easy-to-use interface for interacting with the AssemblyAI ... |
| 35 | transformers | 81 | A- | 48067.1k | Transformers: the model-definition framework for state-of-the-art machine learning models in text, v... |
| 36 | @runware/sdk-js | 81 | A- | 13.9k | The SDK is used to run image inference with the Runware API, powered by the RunWare inference platfo... |
| 37 | @kilocode/cli | 81 | A- | 20.0k | The AI coding agent built for the terminal. Generate code from natural language, automate tasks, and... |
| 38 | @typegoose/typegoose | 81 | A- | 126.3k | Define Mongoose models using TypeScript classes |
| 39 | litellm | 81 | A- | 21487.8k | Library to easily interface with LLM API providers |
| 40 | langchain | 81 | A- | 66420.6k | Building applications with LLMs through composability |
| 41 | @bull-board/api | 81 | A- | 833.6k | A Dashboard server API built on top of bull or bullmq. |
| 42 | langchain-core | 81 | A- | 38259.9k | Building applications with LLMs through composability |
| 43 | huggingface-hub | 81 | A- | 119015.4k | Client library to download and publish models, datasets and other repos on the huggingface.co hub |
| 44 | @antv/gpt-vis | 80 | A- | 4.5k | Components for GPTs, generative AI, and LLM projects. Not only UI Components. |
| 45 | @sap-ai-sdk/foundation-models | 80 | A- | 9.4k | SAP Cloud SDK for AI is the official Software Development Kit (SDK) for **SAP AI Core**, **SAP Gener... |
| 46 | @contrast/core | 80 | A- | 11.6k | Preconfigured Contrast agent core services and models |
| 47 | @malloydata/db-duckdb | 80 | A- | 10.4k | Malloy is a modern open source language for describing data relationships and transformations. It is... |
| 48 | @mondaydotcomorg/atp-provenance | 80 | A- | 13.8k | CAMEL-inspired provenance 보안 for LLM applications - track data origin and enforce 보안 pol... |
| 49 | @malloydata/malloy | 80 | A- | 22.7k | Malloy is a modern open source language for describing data relationships and transformations. It is... |
| 50 | @ag-grid-community/infinite-row-model | 80 | A- | 50.0k | Advanced Data Grid / Data Table supporting Javascript / Typescript / React / Angular / Vue |
순위 방법 AI Models
These ai models are ranked Nerq 신뢰 점수 기준, which evaluates 보안, 유지보수, 커뮤니티 채택, and transparency across multiple data points. Only entities with a trust score of 30 or above are included. 새로운 데이터가 제공되면 점수가 지속적으로 업데이트됩니다.
자주 묻는 질문
2026년 최고의 Best AI Models는?
Nerq 신뢰 점수를 기반으로 최고 등급의 Best AI Models가 위에 나열되어 있으며, 보안, 유지관리, 문서화 및 커뮤니티 지표로 평가됩니다.
Best AI Models는 어떻게 순위가 매겨지나요?
Nerq는 보안 분석, 유지관리 활동, 문서화 품질, 커뮤니티 채택을 결합한 Trust Score v2로 도구를 순위 매깁니다.
이 Best AI Models는 사용하기 안전한가요?
각 도구에는 개별 안전 보고서가 있습니다. 도구 이름을 클릭하면 상세한 신뢰 분석을 볼 수 있습니다.
Nerq Trust Score A는 무엇을 의미하나요?
A 등급(80–89)은 보안, 유지관리, 문서화, 커뮤니티 채택에서 강한 신호를 가진다는 뜻입니다. A+(90–100)는 최고 등급입니다.
Nerq는 Best AI Models를 어떻게 평가하나요?
Nerq는 보안 취약점, 라이선스 준수, 유지관리 활동, 문서화 품질, 커뮤니티 채택 등 여러 차원에서 Best AI Models를 분석합니다. 각 차원은 독립적으로 점수가 매겨지고 전체 신뢰 점수(0–100)로 통합됩니다.