Tencent: Hy4 preview vs MoonshotAI: Kimi K2.6: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Tencent: Hy4 preview (tencent/hy4-preview) vs MoonshotAI: Kimi K2.6 (moonshotai/kimi-k2.6). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Tencent: Hy4 preview (tencent/hy4-preview) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy4 preview: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.3753/1M) or route via asynchronous Batch API for 50% off standard token rates.
MoonshotAI: Kimi K2.6 (moonshotai/kimi-k2.6) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2.6: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.325/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Tencent: Hy4 preview (API ID: tencent/hy4-preview) vs MoonshotAI: Kimi K2.6 (API ID: moonshotai/kimi-k2.6), MoonshotAI: Kimi K2.6 offers lower standard input pricing at $0.65/1M tokens ($3.41/1M output), while MoonshotAI: Kimi K2.6 leads in cached prefix economics at $0.325/1M tokens (50% discount). Tencent: Hy4 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: Hy4 preview | MoonshotAI: Kimi K2.6 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | tencent/hy4-preview | moonshotai/kimi-k2.6 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.7506 / $2.2509 | $0.65 / $3.41 | MoonshotAI: Kimi K2.6 |
| Cache Read Price (per 1M) | $0.3753/1M (50% Off) | $0.325/1M (50% Off) | MoonshotAI: Kimi K2.6 |
| Context Window / Max Output | 1024K In / 63K Out | 256K In / 230K Out | MoonshotAI: Kimi K2.6 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Tencent: Hy4 preview (-0ms) |
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and pro
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end
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: Hy4 preview to MoonshotAI: Kimi K2.6
Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end Verified P90 latency of 280ms.