Z.ai: GLM 5.2 vs XingChen: Xing4.0 29B A4B (free): Live Promos, Pricing, Hidden Fees & Latency
Z.ai: GLM 5.2 (z-ai/glm-5.2) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 5.2: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.31/1M) or route via asynchronous Batch API for 50% off standard token rates.
XingChen: Xing4.0 29B A4B (free) (xingchen-agi/xing4.0-29b-a4b:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for XingChen: Xing4.0 29B A4B (free): Activate ephemeral prefix caching to slash input costs by 50% (down to 0/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Z.ai: GLM 5.2 (API ID: z-ai/glm-5.2) vs XingChen: Xing4.0 29B A4B (free) (API ID: xingchen-agi/xing4.0-29b-a4b:free), XingChen: Xing4.0 29B A4B (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while XingChen: Xing4.0 29B A4B (free) leads in cached prefix economics at $0/1M tokens (50% discount). Z.ai: GLM 5.2 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 5.2 | XingChen: Xing4.0 29B A4B (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-5.2 | xingchen-agi/xing4.0-29b-a4b:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.62 / $2.42 | $0 / $0 | XingChen: Xing4.0 29B A4B (free) |
| Cache Read Price (per 1M) | $0.31/1M (50% Off) | $0/1M (50% Off) | XingChen: Xing4.0 29B A4B (free) |
| Context Window / Max Output | 1024K In / 922K Out | 256K In / 230K Out | Z.ai: GLM 5.2 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Z.ai: GLM 5.2 (-0ms) |
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with
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 5.2 to XingChen: Xing4.0 29B A4B (free)
Xing4.0-29B-A4B is an open-weight mixture-of-experts language model from China Telecom's AI team (TeleAI) and the successor to the TeleChat series. It has 29B total parameters with Verified P90 latency of 280ms.