Tencent: Hy3 preview vs MoonshotAI: Kimi Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Tencent: Hy3 preview (tencent/hy3-preview) vs MoonshotAI: Kimi Latest (~moonshotai/kimi-latest). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Tencent: Hy3 preview (tencent/hy3-preview) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy3 preview: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.09/1M) or route via asynchronous Batch API for 50% off standard token rates.
MoonshotAI: Kimi Latest (~moonshotai/kimi-latest) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi Latest: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.145/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Tencent: Hy3 preview (API ID: tencent/hy3-preview) vs MoonshotAI: Kimi Latest (API ID: ~moonshotai/kimi-latest), Tencent: Hy3 preview offers lower standard input pricing at $0.18/1M tokens ($0.6/1M output), while Tencent: Hy3 preview leads in cached prefix economics at $0.09/1M tokens (50% discount). Tencent: Hy3 preview achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Tencent: Hy3 preview | MoonshotAI: Kimi Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | tencent/hy3-preview | ~moonshotai/kimi-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.18 / $0.6 | $0.29 / $24 | Tencent: Hy3 preview |
| Cache Read Price (per 1M) | $0.09/1M (50% Off) | $0.145/1M (50% Off) | Tencent: Hy3 preview |
| Context Window / Max Output | 256K In / 230K Out | 1024K In / 922K Out | MoonshotAI: Kimi Latest |
| P90 First-Token / Edge Latency | 280ms | 280ms | Tencent: Hy3 preview (-0ms) |
Hy3 preview is a high-efficiency Mixture-of-Experts model from Tencent designed for agentic workflows and production use. It supports configurable reasoning levels across disabled,
This model always redirects to the latest model in the Kimi family.
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from Tencent: Hy3 preview to MoonshotAI: Kimi Latest
This model always redirects to the latest model in the Kimi family. Verified P90 latency of 280ms.