Best AI Models 2026
The #1 ai models in 2026 is mongodb-mcp-server with a Nerq Trust Score of 87/100 (A), based on Nerq's independent analysis of 50 ai models across 5 trust dimensions. Rankings update daily — last updated: 2026-05-06.
According to Nerq's analysis, the top 5 ai models by trust score are: 1. mongodb-mcp-server (87/100), 2. @opentelemetry/instrumentation-mongoose (85/100), 3. @modelcontextprotocol/sdk (85/100), 4. @ai-sdk/anthropic (84/100), 5. @microsoft/api-extractor-model (84/100). Nerq Trust Scores range from 80 to 87 among the top 50. Scores are based on 5 independent trust dimensions including security, maintenance, and community adoption. Updated daily.
| # | Name | Trust | Grade |
|---|---|---|---|
| 1 | mongodb-mcp-server | 87 | A |
| 2 | @opentelemetry/instrumentation-mongoose | 85 | A |
| 3 | @modelcontextprotocol/sdk | 85 | A |
| 4 | @ai-sdk/anthropic | 84 | A- |
| 5 | @microsoft/api-extractor-model | 84 | A- |
| 6 | @ai-sdk/openai | 84 | A- |
| 7 | @ai-sdk/gateway | 84 | A- |
| 8 | @mastra/datadog | 84 | A- |
| 9 | @scalar/openapi-to-markdown | 84 | A- |
| 10 | @mlc-ai/web-llm | 83 | A- |
Top 50 AI Models by Nerq Trust Score
| # | Name | Trust | Grade | Stars | Description |
|---|---|---|---|---|---|
| 1 | mongodb-mcp-server | 87 | A | 385.4k | MongoDB Model Context Protocol Server |
| 2 | @opentelemetry/instrumentation-mongoose | 85 | A | 12082.8k | OpenTelemetry instrumentation for `mongoose` database object data modeling (ODM) library for MongoDB |
| 3 | @modelcontextprotocol/sdk | 85 | A | 20142.6k | Model Context Protocol implementation for TypeScript |
| 4 | @ai-sdk/anthropic | 84 | A- | 3040.3k | The **[Anthropic provider](https://ai-sdk.dev/providers/ai-sdk-providers/anthropic)** for the [AI SD... |
| 5 | @microsoft/api-extractor-model | 84 | A- | 3222.1k | A helper library for loading and saving the .api.json files created by API Extractor |
| 6 | @ai-sdk/openai | 84 | A- | 3700.3k | The **[OpenAI provider](https://ai-sdk.dev/providers/ai-sdk-providers/openai)** for the [AI SDK](htt... |
| 7 | @ai-sdk/gateway | 84 | A- | 6591.2k | The Gateway provider for the [AI SDK](https://ai-sdk.dev/docs) allows the use of a wide variety of A... |
| 8 | @mastra/datadog | 84 | A- | 16.9k | Datadog LLM Observability exporter for Mastra - exports tracing data to Datadog's LLM Observability ... |
| 9 | @scalar/openapi-to-markdown | 84 | A- | 33.8k | Create plain Markdown from OpenAPI documents (for LLMs) |
| 10 | @mlc-ai/web-llm | 83 | A- | 37.5k | Hardware accelerated language model chats on browsers |
| 11 | @lobehub/icons | 83 | A- | 81.5k | Popular AI / LLM Model Brand SVG Logo and Icon Collection |
| 12 | @google/model-viewer | 83 | A- | 145.4k | Easily display interactive 3D models on the web and in AR! |
| 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 | @mariozechner/pi-ai | 83 | A- | 2148.8k | Unified LLM API with automatic model discovery and provider configuration |
| 16 | @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... |
| 17 | @openrouter/ai-sdk-provider | 83 | A- | 611.0k | The [OpenRouter](https://openrouter.ai/) provider for the [Vercel AI SDK](https://sdk.vercel.ai/docs... |
| 18 | @vaadin/hilla-models | 82 | A- | 1.4k | Generative form models for Hilla |
| 19 | @mastra/fastembed | 82 | A- | 6.6k | This package provides a FastEmbed embedding model integration for use with Mastra Memory. |
| 20 | @angular-architects/native-federation | 82 | A- | 41.8k | Native Federation is a "browser-native" implementation of the successful mental model behind webpack... |
| 21 | @ag-grid-community/client-side-row-model | 82 | A- | 162.3k | Advanced Data Grid / Data Table supporting Javascript / Typescript / React / Angular / Vue |
| 22 | @ai-sdk/mistral | 82 | A- | 566.5k | The **[Mistral provider](https://ai-sdk.dev/providers/ai-sdk-providers/mistral)** for the [AI SDK](h... |
| 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 | @lokalise/background-jobs-common | 82 | A- | 2.2k | This library provides a basic abstraction over BullMQ-powered background jobs. There are two types a... |
| 26 | @vaadin/hilla-generator-plugin-model | 82 | A- | 4.0k | A Hilla TypeScript Generator plugin to generate form models |
| 27 | @botpress/zai | 82 | A- | 11.4k | Zui AI (zai) – An LLM utility library written on top of Zui and the Botpress API |
| 28 | @gooddata/sdk-model | 82 | A- | 8.5k | GoodData Model definitions used by UI components and Backend SPI |
| 29 | @langchain/mcp-adapters | 82 | A- | 121.7k | LangChain.js adapters for Model Context Protocol (MCP) |
| 30 | @memberjunction/ai-bedrock | 82 | A- | 1.9k | MemberJunction Wrapper for Amazon Bedrock AI Models |
| 31 | @memberjunction/ai-openai | 82 | A- | 2.0k | MemberJunction Wrapper for OpenAI AI Models |
| 32 | assemblyai | 82 | A- | 200.1k | The AssemblyAI JavaScript SDK provides an easy-to-use interface for interacting with the AssemblyAI ... |
| 33 | @codingame/monaco-vscode-model-service-override | 82 | A- | 36.8k | VSCode public API plugged on the monaco editor - model service-override |
| 34 | @llamaindex/chat-ui | 82 | A- | 1.4k | Chat UI components for LLM apps |
| 35 | @memberjunction/ai-anthropic | 82 | A- | 2.0k | MemberJunction Wrapper for Anthropic AI Models |
| 36 | @typegoose/typegoose | 81 | A- | 126.3k | Define Mongoose models using TypeScript classes |
| 37 | @bull-board/api | 81 | A- | 833.6k | A Dashboard server API built on top of bull or bullmq. |
| 38 | @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... |
| 39 | @kilocode/cli | 81 | A- | 20.0k | The AI coding agent built for the terminal. Generate code from natural language, automate tasks, and... |
| 40 | langchain | 81 | A- | 52207.7k | Building applications with LLMs through composability |
| 41 | litellm | 81 | A- | 21487.8k | Library to easily interface with LLM API providers |
| 42 | langchain-core | 81 | A- | 22716.8k | Building applications with LLMs through composability |
| 43 | transformers | 81 | A- | 29252.9k | Transformers: the model-definition framework for state-of-the-art machine learning models in text, v... |
| 44 | huggingface-hub | 81 | A- | 47675.5k | Client library to download and publish models, datasets and other repos on the huggingface.co hub |
| 45 | @antv/gpt-vis | 80 | A- | 4.5k | Components for GPTs, generative AI, and LLM projects. Not only UI Components. |
| 46 | react-native-executorch | 80 | A- | 4.2k | An easy way to run AI models in React Native with ExecuTorch |
| 47 | @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... |
| 48 | @malloydata/db-duckdb | 80 | A- | 10.4k | Malloy is a modern open source language for describing data relationships and transformations. It is... |
| 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 |
How We Rank AI Models
These ai models are ranked by Nerq Trust Score, which evaluates security, maintenance, community adoption, and transparency across multiple data points. Only entities with a trust score of 30 or above are included. Scores are updated continuously as new data becomes available.
FAQ
What are the best ai models in 2026?
Based on Nerq Trust Scores, the top-ranked ai models are listed above, scored on security, activity, documentation, and community metrics.
How are ai models ranked?
Nerq ranks tools using Trust Score v2, which combines security analysis, maintenance activity, documentation quality, and community adoption signals.
Are these ai models safe to use?
Each tool has an individual safety report. Click any tool name to see its detailed trust analysis.
What does a Nerq Trust Score of A mean?
An A grade (80-89) means the entity has strong signals across security, maintenance, documentation, and community adoption. A+ (90-100) is the highest possible rating.
How does Nerq evaluate ai models?
Nerq analyzes ai models across multiple dimensions including security vulnerabilities, license compliance, maintenance activity, documentation quality, and community adoption. Each dimension is scored independently and combined into an overall Trust Score (0-100).