Z.ai: GLM 4.6 vs Meituan: LongCat 2.0: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Z.ai: GLM 4.6 (z-ai/glm-4.6) vs Meituan: LongCat 2.0 (meituan/longcat-2.0). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Z.ai: GLM 4.6 (z-ai/glm-4.6) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.6: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meituan: LongCat 2.0 (meituan/longcat-2.0) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meituan: LongCat 2.0: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Z.ai: GLM 4.6 (API ID: z-ai/glm-4.6) vs Meituan: LongCat 2.0 (API ID: meituan/longcat-2.0), Meituan: LongCat 2.0 offers lower standard input pricing at $0.3/1M tokens ($1.2/1M output), while Meituan: LongCat 2.0 leads in cached prefix economics at $0.15/1M tokens (50% discount). Z.ai: GLM 4.6 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 4.6 | Meituan: LongCat 2.0 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-4.6 | meituan/longcat-2.0 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $2 | $0.3 / $1.2 | Meituan: LongCat 2.0 |
| Cache Read Price (per 1M) | $0.25/1M (50% Off) | $0.15/1M (50% Off) | Meituan: LongCat 2.0 |
| Context Window / Max Output | 200K In / 128K Out | 1024K In / 256K Out | Meituan: LongCat 2.0 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Z.ai: GLM 4.6 (-0ms) |
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizo
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 4.6 to Meituan: LongCat 2.0
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizo Verified P90 latency of 280ms.