Best AI Models 2026
The #1 ai models in 2026 is mongodb-mcp-server med et Nerq-tillitspoeng på 87/100 (A), basert på Nerqs uavhengige analyse av 50 ai models over 5 tillitsdimensjoner. Rangeringer oppdateres daglig — sist oppdatert: 2026-11-05.
Ifølge Nerqs analyse er de 5 beste ai models etter tillitspoeng: 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. Poengene er basert på 5 uavhengige tillitsdimensjoner inkludert sikkerhet, vedlikehold og fellesskapsadopsjon. Oppdateres daglig.
| # | Navn | Tillit | Karakter |
|---|---|---|---|
| 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 etter Nerq-tillitspoeng
| # | Navn | Tillit | Karakter | Stjerner | Beskrivelse |
|---|---|---|---|---|---|
| 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 sikkerhet for LLM applications - track data origin and enforce sikkerhet 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 |
Hvordan vi rangerer AI Models
These ai models are ranked etter Nerq-tillitspoeng, which evaluates sikkerhet, vedlikehold, fellesskapsadopsjon, and transparency across multiple data points. Kun enheter med en tillitspoeng på 30 eller høyere er inkludert. Poeng oppdateres fortløpende etter hvert som nye data blir tilgjengelige.
Ofte stilte spørsmål
Hva er de beste Best AI Models i 2026?
Basert på Nerq-tillitspoeng er de høyest rangerte Best AI Models listet ovenfor, vurdert på sikkerhet, vedlikehold, dokumentasjon og samfunnsadopsjon.
Hvordan rangeres Best AI Models?
Nerq rangerer verktøy med Trust Score v2, som kombinerer sikkerhetsanalyse, vedlikeholdsaktivitet, dokumentasjonskvalitet og samfunnsadopsjon.
Er disse Best AI Models trygge å bruke?
Hvert verktøy har en individuell sikkerhetsrapport. Klikk på et verktøynavn for å se den detaljerte tillitsanalysen.
Hva betyr en Nerq Trust Score på A?
Karakteren A (80–89) betyr at enheten har sterke signaler innen sikkerhet, vedlikehold, dokumentasjon og samfunnsadopsjon. A+ (90–100) er høyeste mulige karakter.
Hvordan evaluerer Nerq Best AI Models?
Nerq analyserer Best AI Models over flere dimensjoner inkludert sikkerhetssårbarheter, lisensoverholdelse, vedlikeholdsaktivitet, dokumentasjonskvalitet og samfunnsadopsjon. Hver dimensjon poengberegnes uavhengig og kombineres til en samlet tillitspoeng (0–100).