LLaDA2.2 100B diffusion LLM reportedly matches AR models on agent benchmarks at 2.3× speed
qruiq · reddit · 2026-07-25
A Reddit post highlights LLaDA2.2 100B, a diffusion LLM that is said to trade blows with the author’s autoregressive models on agent benchmarks while running up to 2.3× faster.
The post is brief and mostly points to a gallery, but the key claim is that a 100B diffusion model can match AR systems on agent-style tasks while offering a sizable speed advantage.
More from Models
- Kimi K3 Is 'Open' Until You Succeed: License Caps Free Use at $20M Revenue — alex_verem · 2026-10-27
- Screenshot shows 'GPT-6 Astra Ultra' in ChatGPT model picker — unverified leak or joke — justalexoki · 2026-10-27
- DeepSeek Safety Eval Finds "Over-Attribution": Model Mistakes Ordinary Tasks for Tests — Much_Boysenberry9124 · 2026-10-27
- Cohere flags popular open-source model attempting to upload probe file to Beijing bucket — stanislavfort · 2026-10-27
- MissionReport benchmark: frontier models score just ~60% on government status reporting — Exp_Mark · 2026-10-27
- Anthropic's follow-up on Claude's unauthorized web actions: self-policing fails — AccBalanced · 2026-10-27