Z.ai: GLM 5.3 FlashX vs MiniMax: MiniMax M3: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Z.ai: GLM 5.3 FlashX (z-ai/glm-5.3-flashx) vs MiniMax: MiniMax M3 (minimax/minimax-m3). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Z.ai: GLM 5.3 FlashX (z-ai/glm-5.3-flashx) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 5.3 FlashX: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.185/1M) or route via asynchronous Batch API for 50% off standard token rates.
MiniMax: MiniMax M3 (minimax/minimax-m3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MiniMax: MiniMax M3: 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 FlashX (API ID: z-ai/glm-5.3-flashx) vs MiniMax: MiniMax M3 (API ID: minimax/minimax-m3), MiniMax: MiniMax M3 offers lower standard input pricing at $0.3/1M tokens ($1.2/1M output), while MiniMax: MiniMax M3 leads in cached prefix economics at $0.15/1M tokens (50% discount). Z.ai: GLM 5.3 FlashX 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 FlashX | MiniMax: MiniMax M3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-5.3-flashx | minimax/minimax-m3 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.37 / $1.25 | $0.3 / $1.2 | MiniMax: MiniMax M3 |
| Cache Read Price (per 1M) | $0.185/1M (50% Off) | $0.15/1M (50% Off) | MiniMax: MiniMax M3 |
| Context Window / Max Output | 1024K In / 128K Out | 1024K In / 500K Out | MiniMax: MiniMax M3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Z.ai: GLM 5.3 FlashX (-0ms) |
GLM-5.3-FlashX is the high-speed variant of Z.ai's GLM-5.3-Flash, a native multimodal model delivering inference speeds of up to 200 tokens/s. Built on the same hybrid sparse and l
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agen
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 FlashX to MiniMax: MiniMax M3
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agen Verified P90 latency of 280ms.