inclusionAI: Ling 3.1 Flash vs Z.ai: GLM 5.3 Flash (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing inclusionAI: Ling 3.1 Flash (inclusionai/ling-3.1-flash) vs Z.ai: GLM 5.3 Flash (batch) (z-ai/glm-5.3-flash:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
inclusionAI: Ling 3.1 Flash (inclusionai/ling-3.1-flash) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for inclusionAI: Ling 3.1 Flash: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0375/1M) or route via asynchronous Batch API for 50% off standard token rates.
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 $0.03/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing inclusionAI: Ling 3.1 Flash (API ID: inclusionai/ling-3.1-flash) vs Z.ai: GLM 5.3 Flash (batch) (API ID: z-ai/glm-5.3-flash:batch), Z.ai: GLM 5.3 Flash (batch) offers lower standard input pricing at $0.06/1M tokens ($0.2/1M output), while Z.ai: GLM 5.3 Flash (batch) leads in cached prefix economics at $0.03/1M tokens (50% discount). inclusionAI: Ling 3.1 Flash 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 | inclusionAI: Ling 3.1 Flash | Z.ai: GLM 5.3 Flash (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | inclusionai/ling-3.1-flash | z-ai/glm-5.3-flash:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.075 / $0.225 | $0.06 / $0.2 | Z.ai: GLM 5.3 Flash (batch) |
| Cache Read Price (per 1M) | $0.0375/1M (50% Off) | $0.03/1M (50% Off) | Z.ai: GLM 5.3 Flash (batch) |
| Context Window / Max Output | 256K In / 230K Out | 1024K In / 128K Out | inclusionAI: Ling 3.1 Flash |
| P90 First-Token / Edge Latency | 280ms | 280ms | inclusionAI: Ling 3.1 Flash (-0ms) |
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
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
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 inclusionAI: Ling 3.1 Flash to Z.ai: GLM 5.3 Flash (batch)
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 Verified P90 latency of 280ms.