Best AI Models 2026
The #1 ai models in 2026 is mongodb-mcp-server met een Nerq Vertrouwensscore van 87/100 (A), based on Nerq's independent analysis of 50 ai models across 5 trust dimensies. Dagelijks bijgewerkt — laatst bijgewerkt: 2026-11-06.
Volgens 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 dimensies including beveiliging, onderhoud, and gemeenschapsacceptatie. Dagelijks bijgewerkt.
| # | Naam | Vertrouwen | Cijfer |
|---|---|---|---|
| 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 op Nerq-vertrouwensscore
| # | Naam | Vertrouwen | Cijfer | Stars | Beschrijving |
|---|---|---|---|---|---|
| 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 beveiliging for LLM applications - track data origin and enforce beveiliging 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 |
Hoe wij rangschikken AI Models
These ai models are ranked op Nerq-vertrouwensscore, which evaluates beveiliging, onderhoud, gemeenschapsacceptatie, and transparency across multiple data points. Only entities with a trust score of 30 or above are included. Scores worden continu bijgewerkt naarmate er nieuwe gegevens beschikbaar komen.
Veelgestelde vragen
Wat zijn de beste Best AI Models in 2026?
Op basis van Nerq-vertrouwensscores staan de best beoordeelde Best AI Models hierboven, beoordeeld op beveiliging, onderhoud, documentatie en gemeenschapsacceptatie.
Hoe worden Best AI Models gerangschikt?
Nerq rangschikt tools met Trust Score v2, dat beveiligingsanalyse, onderhoudsactiviteit, documentatiekwaliteit en gemeenschapsacceptatie combineert.
Zijn deze Best AI Models veilig om te gebruiken?
Elke tool heeft een individueel veiligheidsrapport. Klik op een toolnaam om de gedetailleerde vertrouwensanalyse te zien.
Wat betekent een Nerq Trust Score van A?
De A-beoordeling (80–89) betekent dat de entiteit sterke signalen heeft op het gebied van beveiliging, onderhoud, documentatie en gemeenschapsacceptatie. A+ (90–100) is de hoogste beoordeling.
Hoe beoordeelt Nerq Best AI Models?
Nerq analyseert Best AI Models over meerdere dimensies waaronder beveiligingskwetsbaarheden, licentie-naleving, onderhoudsactiviteit, documentatiekwaliteit en gemeenschapsacceptatie. Elke dimensie wordt onafhankelijk gescoord en gecombineerd tot een totale vertrouwensscore (0–100).