Nex AGI: Nex-N2.5-Pro vs Z.ai: GLM Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Nex AGI: Nex-N2.5-Pro (nex-agi/nex-n2.5-pro) vs Z.ai: GLM Latest (~z-ai/glm-latest). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Nex AGI: Nex-N2.5-Pro (nex-agi/nex-n2.5-pro) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Nex AGI: Nex-N2.5-Pro: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0375/1M) 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 $0.0315/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Nex AGI: Nex-N2.5-Pro (API ID: nex-agi/nex-n2.5-pro) vs Z.ai: GLM Latest (API ID: ~z-ai/glm-latest), Z.ai: GLM Latest offers lower standard input pricing at $0.063/1M tokens ($4.4/1M output), while Z.ai: GLM Latest leads in cached prefix economics at $0.0315/1M tokens (50% discount). Nex AGI: Nex-N2.5-Pro 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 | Nex AGI: Nex-N2.5-Pro | Z.ai: GLM Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | nex-agi/nex-n2.5-pro | ~z-ai/glm-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.075 / $0.25 | $0.063 / $4.4 | Z.ai: GLM Latest |
| Cache Read Price (per 1M) | $0.0375/1M (50% Off) | $0.0315/1M (50% Off) | Z.ai: GLM Latest |
| Context Window / Max Output | 256K In / 230K Out | 1024K In / 128K Out | Nex AGI: Nex-N2.5-Pro |
| P90 First-Token / Edge Latency | 280ms | 280ms | Nex AGI: Nex-N2.5-Pro (-0ms) |
Nex-N2.5 is an agentic model built to turn goals into working, verified outcomes. Its core strength is agentic coding within a visual feedback loop: it can explore codebases, imple
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 Nex AGI: Nex-N2.5-Pro to Z.ai: GLM Latest
This model always redirects to the latest GLM model from Z.ai. Verified P90 latency of 280ms.