Z.ai: GLM 4.5 Air vs Tencent: Hy-MT2-1.8B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Z.ai: GLM 4.5 Air (z-ai/glm-4.5-air) vs Tencent: Hy-MT2-1.8B (tencent/hy-mt2-1.8b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Z.ai: GLM 4.5 Air (z-ai/glm-4.5-air) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.5 Air: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.065/1M) or route via asynchronous Batch API for 50% off standard token rates.
Tencent: Hy-MT2-1.8B (tencent/hy-mt2-1.8b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy-MT2-1.8B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.022/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Z.ai: GLM 4.5 Air (API ID: z-ai/glm-4.5-air) vs Tencent: Hy-MT2-1.8B (API ID: tencent/hy-mt2-1.8b), Tencent: Hy-MT2-1.8B offers lower standard input pricing at $0.044/1M tokens ($0.177/1M output), while Tencent: Hy-MT2-1.8B leads in cached prefix economics at $0.022/1M tokens (50% discount). Z.ai: GLM 4.5 Air 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 | Z.ai: GLM 4.5 Air | Tencent: Hy-MT2-1.8B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-4.5-air | tencent/hy-mt2-1.8b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.13 / $0.85 | $0.044 / $0.177 | Tencent: Hy-MT2-1.8B |
| Cache Read Price (per 1M) | $0.065/1M (50% Off) | $0.022/1M (50% Off) | Tencent: Hy-MT2-1.8B |
| Context Window / Max Output | 128K In / 96K Out | 8K In / 4K Out | Z.ai: GLM 4.5 Air |
| P90 First-Token / Edge Latency | 280ms | 280ms | Z.ai: GLM 4.5 Air (-0ms) |
GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE)
Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for struc
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 Z.ai: GLM 4.5 Air to Tencent: Hy-MT2-1.8B
Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for struc Verified P90 latency of 280ms.