INFRA | SOFTWARE | HARDWARE
We wired OpenRouter's free tier into our 7-task LLM harness, registered 13 models with full metadata, and ran a fair 5-iteration sweep across all of them. Ling 3.0 Tiny, Laguna XS 2.1 and Gemma 4 26B posted averages above 98 on a board that Kimi K3 leads at 90.5 — and the entire run cost us nothing.
Full attention pays an n² bill that a 1M-token context can't afford. Linear attention swaps the bill for a memory you write to — and the delta rule is what makes that memory smart. Kimi calls K3's KDA a 'hybrid linear attention mechanism'; this is the family it belongs to, from the kernel trick to gated delta updates.

Our 7-task harness renders (or shows) what models actually generate, live and sandboxed. Running Kimi K3 against K2.7, Gemini and Codex broke the harness three different ways before it produced a fair table — here's the data, and what K3 is actually good at.

Small, working simulations. Drag the controls on the full pages, or just watch the previews cycle here. The selection rotates daily.