Tencent's Hunyuan large model Hy3 has performed far beyond expectations since its open-source release in early July — on July 15, the company disclosed that Hy3 has topped OpenRouter's global LLM call-volume leaderboard, with total call volume up 68× over its predecessor Hy2. Hy3 is a 295B-total, 21B-activated sparse MoE model, with GitHub self-positioning as "reasoning and agent", focused on reasoning and Agent capabilities in the same size tier, while emphasizing cost efficiency. This A21B high-sparsity design means that at inference, the actually activated parameters are less than 7% of the total, preserving capability while compressing per-call cost to "close to a dense 20B tier". This is fundamentally why it can emerge on OpenRouter, a "price-performance vote" aggregation platform — callers vote with their feet, and the price/capability ratio is what matters. The 68× growth and OpenRouter topping are essentially a real-world stress test of the "Chinese MoE + Agent" combination by the developer community, rather than paper benchmarks. The leading labs have made "call volume" a new metric for open-source success, meaning LLM competition is shifting from "who can train it" to "who dares be widely called". For mid-sized closed-source API providers, high-price-performance open-source MoE models like Hy3 already constitute direct pressure.