MoonshotAI: Kimi K2 0905 vs Z.ai: GLM 4.7: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905) vs Z.ai: GLM 4.7 (z-ai/glm-4.7). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2 0905: 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.
Z.ai: GLM 4.7 (z-ai/glm-4.7) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.7: 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 MoonshotAI: Kimi K2 0905 (API ID: moonshotai/kimi-k2-0905) vs Z.ai: GLM 4.7 (API ID: z-ai/glm-4.7), MoonshotAI: Kimi K2 0905 offers lower standard input pricing at $0.6/1M tokens ($2.5/1M output), while MoonshotAI: Kimi K2 0905 leads in cached prefix economics at $0.3/1M tokens (50% discount). MoonshotAI: Kimi K2 0905 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 | MoonshotAI: Kimi K2 0905 | Z.ai: GLM 4.7 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | moonshotai/kimi-k2-0905 | z-ai/glm-4.7 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.6 / $2.5 | $0.6 / $2.2 | MoonshotAI: Kimi K2 0905 |
| Cache Read Price (per 1M) | $0.3/1M (50% Off) | $0.3/1M (50% Off) | MoonshotAI: Kimi K2 0905 |
| Context Window / Max Output | 256K In / 96K Out | 200K In / 128K Out | Z.ai: GLM 4.7 |
| P90 First-Token / Edge Latency | 280ms | 280ms | MoonshotAI: Kimi K2 0905 (-0ms) |
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trilli
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates sign
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 MoonshotAI: Kimi K2 0905 to Z.ai: GLM 4.7
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates sign Verified P90 latency of 280ms.