Best AI AI Models Tools 2026

One-command LLM censorship removal — now with reproducibility

Microsoft's first in-house AI models: transcription, voice, and video gen

128B open-weight model with async remote coding agents and 256k context

NVIDIA's 30B open multimodal model: vision, audio & language for 25GB RAM

Open-weight #1 on SWE-bench Pro — built with zero Nvidia GPUs

Cohere's 111B enterprise model: frontier performance on just 2 GPUs

Alibaba's open-weight agentic model matching Claude Sonnet on local hardware

Google's 2M-token flagship with native multimodal reasoning and sandboxed code execution

Meta's first proprietary model — multimodal, agentic, and not open source

295B MoE open weights — China's most efficient frontier model yet

One diffusion model to understand, generate, and edit images

The open-source AI that improves its own training

The open-weight model that dethroned GPT on SWE-bench Pro

1.6T open-source MoE that nearly matches frontier — MIT, 1M token context

Anthropic's flagship model with task budgets for disciplined agentic work

Google's open multimodal models — vision, audio, and text under Apache 2.0

Alibaba's new 27B open multimodal — text, vision, and audio in one

OpenAI's new flagship unifies chat, code, and browser into one agent

400B US-made open reasoning agent — Apache 2.0, 96% cheaper than Claude

Open-source 1T MoE that runs coding agents nonstop for 13 hours

230B open-weights MoE reasoning model built for coding and agentic workflows

Open reconstruction of Claude Mythos using Recurrent-Depth Transformers

The first natively multimodal vision-coding model built for agentic workflows

Show it a sketch, get a React app — Alibaba's native omnimodal AI

1.6T-param MoE model, 1M context, Nvidia-free — just dropped Apache 2.0