Inclusion AI launches LLaDA2.2-flash, a diffusion model for agentic workloads
heyshrutimishra · x · 2026-07-25
- Inclusion AI has released LLaDA2.2-flash, a large-scale diffusion language model designed specifically for agentic workloads.
- Instead of generating tokens strictly left-to-right, it produces tokens in parallel blocks and then uses Levenshtein Editing to delete defects and insert fixes mid-sequence.
- The paper says the model is competitive with top autoregressive baselines on agent benchmarks, while running 1.6× faster.
- It also supports 128K context natively and is open source.
- The authors argue this is the first time a diffusion model has been practical for production-grade agent workloads.
More from Models
- Kimi K3.1 Pro regresses on Debate Benchmark while DeepSeek 1017 gains at lower cost — teortaxesTex · 2026-10-27
- 4 Hours of LLM Startup Research Produced a Convincing but Nonsense Product Thesis — annetgriffin · 2026-10-27
- Dev argues Claude burns far more tokens than GPT models for the same coding work — haider1 · 2026-10-27
- MiniMax matches Claude Opus 4.5 in non-benchmaxxed evals, users report — teortaxesTex · 2026-10-27
- Real-world math: GPT-6.1 Terra's half price is offset by 2-3x token usage, costing more than Sol — lordpuddingcup · 2026-10-27
- Fable 5.5 rumored to ship this week as partners still test — kimmonismus · 2026-10-27