MoonshotAI: Kimi K3 (batch) vs Z.ai: GLM 4.7: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MoonshotAI: Kimi K3 (batch) (moonshotai/kimi-k3:batch) vs Z.ai: GLM 4.7 (z-ai/glm-4.7). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
MoonshotAI: Kimi K3 (batch) (moonshotai/kimi-k3:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K3 (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to $1.14/1M) 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 K3 (batch) (API ID: moonshotai/kimi-k3:batch) vs Z.ai: GLM 4.7 (API ID: z-ai/glm-4.7), Z.ai: GLM 4.7 offers lower standard input pricing at $0.6/1M tokens ($2.2/1M output), while Z.ai: GLM 4.7 leads in cached prefix economics at $0.3/1M tokens (50% discount). MoonshotAI: Kimi K3 (batch) 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 K3 (batch) | Z.ai: GLM 4.7 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | moonshotai/kimi-k3:batch | z-ai/glm-4.7 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.28 / $11.4 | $0.6 / $2.2 | Z.ai: GLM 4.7 |
| Cache Read Price (per 1M) | $1.14/1M (50% Off) | $0.3/1M (50% Off) | Z.ai: GLM 4.7 |
| Context Window / Max Output | 1024K In / 16K Out | 200K In / 128K Out | Z.ai: GLM 4.7 |
| P90 First-Token / Edge Latency | 280ms | 280ms | MoonshotAI: Kimi K3 (batch) (-0ms) |
Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is par
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 K3 (batch) 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.