Perceptron: Perceptron Mk1.5 vs Z.ai: GLM Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Perceptron: Perceptron Mk1.5 (perceptron/perceptron-mk1.5) vs Z.ai: GLM Latest (~z-ai/glm-latest). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Perceptron: Perceptron Mk1.5 (perceptron/perceptron-mk1.5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Perceptron: Perceptron Mk1.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.075/1M) or route via asynchronous Batch API for 50% off standard token rates.
Z.ai: GLM Latest (~z-ai/glm-latest) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM Latest: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.012/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Perceptron: Perceptron Mk1.5 (API ID: perceptron/perceptron-mk1.5) vs Z.ai: GLM Latest (API ID: ~z-ai/glm-latest), Z.ai: GLM Latest offers lower standard input pricing at $0.024/1M tokens ($4.4/1M output), while Z.ai: GLM Latest leads in cached prefix economics at $0.012/1M tokens (50% discount). Perceptron: Perceptron Mk1.5 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 | Perceptron: Perceptron Mk1.5 | Z.ai: GLM Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | perceptron/perceptron-mk1.5 | ~z-ai/glm-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.15 / $1.5 | $0.024 / $4.4 | Z.ai: GLM Latest |
| Cache Read Price (per 1M) | $0.075/1M (50% Off) | $0.012/1M (50% Off) | Z.ai: GLM Latest |
| Context Window / Max Output | 36K In / 8K Out | 1024K In / 128K Out | Z.ai: GLM Latest |
| P90 First-Token / Edge Latency | 280ms | 280ms | Perceptron: Perceptron Mk1.5 (-0ms) |
Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annota
This model always redirects to the latest GLM model from Z.ai.
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 Perceptron: Perceptron Mk1.5 to Z.ai: GLM Latest
This model always redirects to the latest GLM model from Z.ai. Verified P90 latency of 280ms.