Openrouter Verified Endpoint 548 vs Z.ai: GLM 4.5V: Live Promos, Pricing, Hidden Fees & Latency
Openrouter Verified Endpoint 548 (openrouter-verified-endpoint-548) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Openrouter Verified Endpoint 548: Activate ephemeral prefix caching to slash input costs by 95% (down to 0.2/1M) or route via asynchronous Batch API for 50% off standard token rates.
Z.ai: GLM 4.5V (z-ai/glm-4.5v) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.5V: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.3/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Openrouter Verified Endpoint 548 (API ID: openrouter-verified-endpoint-548) vs Z.ai: GLM 4.5V (API ID: z-ai/glm-4.5v), Z.ai: GLM 4.5V offers lower standard input pricing at $0.6/1M tokens ($1.8/1M output), while Openrouter Verified Endpoint 548 leads in cached prefix economics at $0.2/1M tokens (95% discount). Openrouter Verified Endpoint 548 achieves a 135ms faster P90 time-to-first-token latency (145ms vs 280ms).
Route high-volume requests through Prompt Caching (75% off) and asynchronous Batch API (50% off) to prevent token burn spikes.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Openrouter Verified Endpoint 548 | Z.ai: GLM 4.5V | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openrouter-verified-endpoint-548 | z-ai/glm-4.5v | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.8 / $3.2 | $0.6 / $1.8 | Z.ai: GLM 4.5V |
| Cache Read Price (per 1M) | $0.2/1M (95% Off) | $0.3/1M (50% Off) | Openrouter Verified Endpoint 548 |
| Context Window / Max Output | 1050K In / 128K Out | 64K In / 16K Out | Openrouter Verified Endpoint 548 |
| P90 First-Token / Edge Latency | 145ms | 280ms | Openrouter Verified Endpoint 548 (-135ms) |
Openrouter Verified Endpoint 548 production API endpoint verified by Etuki FinOps Telemetry with automated prefix caching and multi-region fallback routing.
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters
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 Openrouter Verified Endpoint 548 to Z.ai: GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters Verified P90 latency of 280ms.