Z.ai: GLM 5.3 Flash (batch) vs Moondream: Moondream 3 Preview: Live Promos, Pricing, Hidden Fees & Latency
Z.ai: GLM 5.3 Flash (batch) (z-ai/glm-5.3-flash:batch) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 5.3 Flash (batch): Activate ephemeral prefix caching to slash input costs by 50% (down to 0.025/1M) or route via asynchronous Batch API for 50% off standard token rates.
Moondream: Moondream 3 Preview (moondream/moondream3-preview) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Moondream: Moondream 3 Preview: 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 5.3 Flash (batch) (API ID: z-ai/glm-5.3-flash:batch) vs Moondream: Moondream 3 Preview (API ID: moondream/moondream3-preview), Z.ai: GLM 5.3 Flash (batch) offers lower standard input pricing at $0.05/1M tokens ($0.18/1M output), while Z.ai: GLM 5.3 Flash (batch) leads in cached prefix economics at $0.025/1M tokens (50% discount). Z.ai: GLM 5.3 Flash (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 | Z.ai: GLM 5.3 Flash (batch) | Moondream: Moondream 3 Preview | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-5.3-flash:batch | moondream/moondream3-preview | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.18 | $0.3 / $2.5 | Z.ai: GLM 5.3 Flash (batch) |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $0.15/1M (50% Off) | Z.ai: GLM 5.3 Flash (batch) |
| Context Window / Max Output | 1024K In / 128K Out | 31K In / 4K Out | Z.ai: GLM 5.3 Flash (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Z.ai: GLM 5.3 Flash (batch) (-0ms) |
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains
Moondream 3 Preview is a vision-language model from Moondream with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, an
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 5.3 Flash (batch) to Moondream: Moondream 3 Preview
Moondream 3 Preview is a vision-language model from Moondream with 9B total parameters and 2B active (mixture-of-experts). It handles visual question answering, captioning, OCR, an Verified P90 latency of 280ms.