Together AI· Inference platformResearch paper

Consistency diffusion language models: Up to 14x faster inference without sacrificing quality

Together AI introduces consistency diffusion language models (CDLM), a method that accelerates diffusion language model inference by combining consistency-based multi-token finalization with block-wise KV caching, achieving up to 14.5x latency speedups on math and coding tasks.

From the source

We introduce consistency diffusion language models (CDLM), which accelerates diffusion language model inference by combining consistency-based multi-token finalization with block-wise KV caching, achieving up to 14.5x latency speedups on math and coding tasks.

together.ai

Announced

19 Feb 2026 00:00 UTC

Detected

03 Aug 2026 21:12 UTC (+165d after)