Right model. Real workload.
Evaluate output quality against your actual tasks. A leaderboard alone cannot tell you what your business needs.
From a thoughtful answer to a striking image or a moving story. Explore model architectures, then see how Perchy tunes caching and speculative decoding to each one.
Recurrent state meets sparse attention. A different way to carry context through an intelligent workflow.
A causal encoder–decoder, compressed sparse attention and conditional memory. Explore the architecture behind the next token.
Kimi Delta Attention and KPool-DSA share the work: recurrent state for continuity, selective attention for recall.
Language and image tokens meet inside a single-stream diffusion transformer, turning latent noise into deliberate composition.
A joint audio–video latent sequence. One single-stream transformer. A generation path designed to keep sound and motion together.
Model examples illustrate managed inference options. Availability, licences and performance are confirmed in your proposal. Model names belong to their respective owners; listing does not imply endorsement or partnership.
Evaluate output quality against your actual tasks. A leaderboard alone cannot tell you what your business needs.
Open weights do not mean unrestricted use. Deployment, commercial use and redistribution depend on each model’s terms.
Base models and separately hosted add-on features can have different data paths. Your proposal identifies each component.
One benchmark.
A whole new cost curve.