Qwen is Alibaba Cloud's open and commercial LLM family and its chat interface. It covers general chat, long context, coding, math, and multimodal inputs, with both open-weight and API access.
Best Large Language Models (LLMs) Tools (2026)
Compare large language models — GPT, Claude, Gemini, Llama, and open-weight models — across context window, coding skill, API access, price, and self-hosting.
Kimi is the AI assistant from Moonshot AI. It supports very long context (up to 2M tokens), web search, file and URL analysis, and is widely used in Chinese markets for research, writing, and coding tasks.
Mistral AI is a European AI lab behind open-weight models like Mistral 7B and Mixtral and commercial models like Mistral Large. It offers Le Chat, a consumer assistant, and La Plateforme API for developers.
DeepSeek is the Chinese AI lab behind the DeepSeek-V3 and DeepSeek-R1 open-weight models, offering a free chat assistant, reasoning mode, and a low-cost developer API compatible with the OpenAI SDK.
Gemini is Google's AI assistant, powered by the Gemini model family (Pro, Flash, Ultra) with multimodal input, deep integration into Google Workspace, Search, and Android, plus advanced reasoning via Gemini Advanced.
ChatGPT is OpenAI's conversational AI assistant, combining GPT-4o, GPT-4.1, and o-series reasoning models with tools for browsing, image generation, file analysis, voice, and custom GPTs.
OpenAI is an AI research lab that builds general-purpose foundation models, ships ChatGPT for consumers, offers APIs for developers, and provides enterprise products built on GPT, DALL·E, and Sora.
VRAMGlass is a free web tool for people choosing hardware to run large language models locally. Compare GPUs by VRAM capacity, memory bandwidth, power and software ecosystem, explore open-weight model families and their quantized weight sizes, and use documented memory and fit estimates to plan the hardware you actually need.
Access multiple AI models through one unified API, reducing integration complexity and accelerating AI application development.
A unified API for open-source AI models from China.
AnyRouter is an API relay service for Claude Code that exposes an Anthropic-compatible endpoint, letting developers route requests to Claude, GPT, and Gemini models through a single base URL with pay-per-token billing.
Aiberm unifies OpenAI, Claude, Gemini and 30+ frontier LLMs behind one API endpoint, with usage-based pricing discounted up to 90% and a 99.9% uptime SLA.
Related categories
What is a large language model (LLM)?
A large language model (LLM) is a neural network trained on massive amounts of text to predict the next token, giving it broad command of language, code, and reasoning. You reach it through a chat app, an API, or a self-hosted copy, and it can follow instructions, answer questions, write and debug code, and process long documents. Examples span proprietary models like GPT, Claude, and Gemini and open-weight families like Llama, Mistral, and Qwen.
What LLMs can do
- Instruction following across writing, analysis, and reasoning tasks
- Code generation, explanation, and debugging in many languages
- Long context windows for whole documents or codebases
- API access with streaming, function calling, and JSON output
- Multimodal input: images, audio, and sometimes video
- Fine-tuning and open weights for private self-hosting
Who uses large language models
01
Developers building on an API
Call a hosted model to add chat, extraction, or agents inside an app.
02
Teams comparing frontier models
Weigh GPT, Claude, and Gemini on reasoning, coding, price, and speed.
03
Self-hosting with open weights
Run Llama, Mistral, or Qwen locally for privacy, cost, or offline control.
04
Researchers and builders fine-tuning
Adapt a base model to a domain, tone, or task with custom data.
How large language models work
An LLM is trained on huge text corpora to predict the next token, then tuned with human feedback so it follows instructions and stays helpful. At inference it reads your prompt plus any earlier turns and generates a reply one token at a time within a fixed context window. Retrieval, tool calls, and fine-tuning extend it with fresh data, external actions, or domain-specific behavior.