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Large Language Models (LLMs)

Compare the leading current large language models for reasoning, coding, agents, multimodal work, speed, and value.

53 toolsShowing 1–24Updated July 2026
Claude Fable 5NEW
Anthropic's most capable generally available model for long-running coding, reasoning, and professional knowledge work.
LLM Models
GPT-5.6 SolNEW
OpenAI's GPT-5.6 flagship for complex coding, research, cybersecurity, science, and long-running agent tasks.
LLM Models
Claude Opus 4.8NEW
Anthropic's high-end model for reliable coding, agentic workflows, computer use, and demanding professional work.
LLM Models
Claude Sonnet 5NEW
A cost-efficient frontier Claude model for coding, tool use, knowledge work, and autonomous multi-step workflows.
LLM Models
GPT-5.6 TerraNEW
OpenAI's balanced GPT-5.6 model for everyday development, knowledge work, and agent workflows at a lower cost.
LLM Models
GLM-5.2NEW
Z.ai's open flagship model for long-horizon coding and agents, with a reliable one-million-token context window.
LLM Models
Gemini 3.5 FlashNEW
Google's fast frontier model for coding, multimodal reasoning, computer use, and agentic workflows.
LLM Models
Grok 4.3
xAI's frontier enterprise and agent model with configurable reasoning and a one-million-token context window.
LLM Models
Qwen3.7-MaxNEW
Qwen's proprietary flagship model for coding, office automation, reasoning, and long-running agents.
LLM Models
DeepSeek-V4-ProNEW
DeepSeek's open flagship reasoning and agent model with one-million-token context and strong coding performance.
LLM Models
MiniMax M3NEW
MiniMax's open-weight frontier model for coding and agents, with native multimodality and up to one-million-token context.
LLM Models
Kimi K2.7 CodeNEW
Moonshot AI's strongest coding model for long-horizon software engineering, tool use, and agentic execution.
LLM Models
GPT-5.6 LunaNEW
OpenAI's fastest and most affordable GPT-5.6 model for high-volume tasks, batch processing, and lightweight agents.
LLM Models
MiMo V2.5 ProNEW
Xiaomi's flagship MiMo model for complex reasoning, coding, professional tasks, and agent workflows.
LLM Models
Kimi K2.6
Moonshot AI's general-purpose multimodal model for reasoning, coding, visual understanding, and agent tasks.
LLM Models
Qwen3.7-PlusNEW
Qwen's multimodal agent model for visual reasoning, coding, tool use, and long-horizon execution.
LLM Models
Gemini 3.1 Deep ThinkNEW
Google's intensive reasoning model for difficult problems in science, research, engineering, and mathematics.
LLM Models
Gemini 3.1 Pro
Google's advanced multimodal reasoning model for complex tasks, coding, and creative production.
LLM Models
GPT‑5.5
GPT‑5.5 newest OpenAI GPT-5 release
LLM Models
Claude Opus 4.7
Claude Opus 4.7 latest AI assistant version
LLM Models
Claude Sonnet 4.6
Anthropic's Claude Sonnet 4.6 language model
LLM Models
GLM-5.1
Z.ai's open reasoning and coding model, succeeded by GLM-5.2 but still capable for agent workflows.
LLM Models
DeepSeek-V4-FlashNEW
DeepSeek's fast, low-cost V4 model with one-million-token context, reasoning modes, and tool calling.
LLM Models
Qwen3.6-Plus
Qwen3.6-Plus enhanced LLM version
LLM Models

Category guide

How to choose the best Large Language Models (LLMs)

Compare the leading current large language models for reasoning, coding, agents, multimodal work, speed, and value. The right choice depends on the result you need, the amount of control you want, and how the product handles price, privacy, and ownership.

What are Large Language Models (LLMs)?

Large language models are foundation models that understand and generate language, code, structured data, and increasingly images, audio, and video. This list focuses on current model families rather than chat interfaces, API gateways, or unrelated AI products.

Who should use them?

Developers, AI teams, researchers, technical leaders, startups, and enterprises comparing current foundation models.

Common use cases

  • Solve complex reasoning and research tasks
  • Build coding agents and software workflows
  • Power chatbots and business applications
  • Understand long documents and multimodal inputs

What to compare before choosing

  1. Overall reasoning, coding, and agent performance
  2. Reliability on long and complex tasks
  3. Context length, multimodality, and tool use
  4. Speed, API price, availability, and data terms
For professional use: Treat every ranking as a starting point. Benchmark shortlisted models on your own prompts, tools, latency targets, safety requirements, and budget before committing to production.

FAQ about Large Language Models (LLMs)

What is a large language model?

Large language models are foundation models that understand and generate language, code, structured data, and increasingly images, audio, and video. This list focuses on current model families rather than chat interfaces, API gateways, or unrelated AI products.

How does AI List 101 rank LLMs?

The editorial order prioritizes current overall capability, with particular weight on reasoning, coding, long-running agent tasks, tool use, multimodal understanding, reliability, and recency. Price and speed also matter, but specialized models may outperform higher-ranked models on a specific workload.

Which LLM is best for my project?

There is no single best model for every task. Start with the top frontier models, then test a representative set of your own coding, research, writing, tool-use, latency, and cost requirements before choosing a production model.

Are open-source LLMs competitive with closed models?

Yes. Leading open and open-weight models can be highly competitive for coding, reasoning, long context, and private deployment. Closed frontier models may still lead on some demanding tasks, while open models offer more deployment control and can be substantially less expensive.