MiniMax: MiniMax M3 vs Z.ai: GLM 5.3 FlashX: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MiniMax: MiniMax M3 (minimax/minimax-m3) vs Z.ai: GLM 5.3 FlashX (z-ai/glm-5.3-flashx). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
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.
In Etuki October 2026 FinOps telemetry comparing MiniMax: MiniMax M3 (API ID: minimax/minimax-m3) vs Z.ai: GLM 5.3 FlashX (API ID: z-ai/glm-5.3-flashx), 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). MiniMax: MiniMax M3 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 | MiniMax: MiniMax M3 | Z.ai: GLM 5.3 FlashX | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | minimax/minimax-m3 | z-ai/glm-5.3-flashx | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.3 / $1.2 | $0.37 / $1.25 | MiniMax: MiniMax M3 |
| Cache Read Price (per 1M) | $0.15/1M (50% Off) | $0.185/1M (50% Off) | MiniMax: MiniMax M3 |
| Context Window / Max Output | 1024K In / 500K Out | 1024K In / 128K Out | MiniMax: MiniMax M3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | MiniMax: MiniMax M3 (-0ms) |
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
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
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 MiniMax: MiniMax M3 to Z.ai: GLM 5.3 FlashX
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 Verified P90 latency of 280ms.