Best AI Models 2026
The #1 ai models in 2026 is mongodb-mcp-server avec un Score de Confiance Nerq de 87/100 (A), based on Nerq's independent analysis of 50 ai models across 5 trust dimensions. Mise à jour quotidienne — dernière mise à jour: 2026-11-05.
Selon Nerq'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 dimensions including sécurité, maintenance, and adoption par la communauté. Mise à jour quotidienne.
| # | Nom | Confiance | Note |
|---|---|---|---|
| 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 par Nerq Trust Score
| # | Nom | Confiance | Note | Étoiles | Description |
|---|---|---|---|---|---|
| 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 sécurité for LLM applications - track data origin and enforce sécurité 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 |
Comment nous classons AI Models
These ai models are ranked par Nerq Trust Score, which evaluates sécurité, maintenance, adoption par la communauté, and transparency across multiple data points. Only entities with a trust score of 30 or above are included. Les scores sont mis à jour en continu dès que de nouvelles données sont disponibles.
Questions fréquentes
Quels sont les meilleurs Best AI Models en 2026 ?
Basé sur les scores de confiance Nerq, les Best AI Models les mieux classés sont listés ci-dessus, évalués sur la sécurité, la maintenance, la documentation et l'adoption communautaire.
Comment les Best AI Models sont-ils classés ?
Nerq classe les outils avec Trust Score v2, combinant analyse de sécurité, activité de maintenance, qualité de documentation et signaux d'adoption communautaire.
Ces Best AI Models sont-ils sûrs à utiliser ?
Chaque outil dispose d'un rapport de sécurité individuel. Cliquez sur le nom d'un outil pour voir son analyse de confiance détaillée.
Que signifie un Nerq Trust Score de A ?
La note A (80–89) signifie que l'entité a de forts signaux en sécurité, maintenance, documentation et adoption communautaire. A+ (90–100) est la meilleure note possible.
Comment Nerq évalue-t-il les Best AI Models ?
Nerq analyse les Best AI Models sur plusieurs dimensions incluant les vulnérabilités, la conformité des licences, l'activité de maintenance, la qualité de documentation et l'adoption communautaire. Chaque dimension est notée indépendamment et combinée en un score de confiance global (0–100).