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.
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