Z.ai: GLM 5.3 Flash (batch) vs DeepSeek: DeepSeek V4.1 Flash (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Z.ai: GLM 5.3 Flash (batch) (z-ai/glm-5.3-flash:batch) vs DeepSeek: DeepSeek V4.1 Flash (batch) (deepseek/deepseek-v4.1-flash:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 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 $0.03/1M) or route via asynchronous Batch API for 50% off standard token rates.
DeepSeek: DeepSeek V4.1 Flash (batch) (deepseek/deepseek-v4.1-flash:batch) — Automatic Disk KV Cache ($0.056/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
In Etuki October 2026 FinOps telemetry comparing Z.ai: GLM 5.3 Flash (batch) (API ID: z-ai/glm-5.3-flash:batch) vs DeepSeek: DeepSeek V4.1 Flash (batch) (API ID: deepseek/deepseek-v4.1-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). Z.ai: GLM 5.3 Flash (batch) achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
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| Specification / FinOps Dimension | Z.ai: GLM 5.3 Flash (batch) | DeepSeek: DeepSeek V4.1 Flash (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-5.3-flash:batch | deepseek/deepseek-v4.1-flash:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.06 / $0.2 | $0.112 / $0.336 | Z.ai: GLM 5.3 Flash (batch) |
| Cache Read Price (per 1M) | $0.03/1M (50% Off) | $0.056/1M (50% Off) | Z.ai: GLM 5.3 Flash (batch) |
| Context Window / Max Output | 1024K In / 128K Out | 1024K In / 128K 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
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters o
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 DeepSeek: DeepSeek V4.1 Flash (batch)
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters o Verified P90 latency of 280ms.