LLaDA2.2-flash brings 100B MoE diffusion model with 128K context and Apache 2.0
QuixiAI · x · 2026-07-24
inclusionAI released LLaDA2.2-flash, a 100B MoE diffusion language model aimed at agentic workloads.
The model supports a 128K context window, uses Levenshtein Editing for insert/delete-style parallel decoding, and adds Block Routing plus L-EBPO to improve long-context efficiency. According to the post, it beats Ling-2.6-flash on τ²-Bench, PinchBench, and MCP-Atlas, while delivering 1.7×–2.3× higher throughput across reported tests. The release is under Apache 2.0.
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