MiniMax: MiniMax-01 vs Z.ai: GLM 4.7: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing MiniMax: MiniMax-01 (minimax/minimax-01) vs Z.ai: GLM 4.7 (z-ai/glm-4.7). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
MiniMax: MiniMax-01 (minimax/minimax-01) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MiniMax: MiniMax-01: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.1/1M) or route via asynchronous Batch API for 50% off standard token rates.
Z.ai: GLM 4.7 (z-ai/glm-4.7) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.7: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.3/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing MiniMax: MiniMax-01 (API ID: minimax/minimax-01) vs Z.ai: GLM 4.7 (API ID: z-ai/glm-4.7), MiniMax: MiniMax-01 offers lower standard input pricing at $0.2/1M tokens ($1.1/1M output), while MiniMax: MiniMax-01 leads in cached prefix economics at $0.1/1M tokens (50% discount). MiniMax: MiniMax-01 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-01 | Z.ai: GLM 4.7 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | minimax/minimax-01 | z-ai/glm-4.7 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2 / $1.1 | $0.6 / $2.2 | MiniMax: MiniMax-01 |
| Cache Read Price (per 1M) | $0.1/1M (50% Off) | $0.3/1M (50% Off) | MiniMax: MiniMax-01 |
| Context Window / Max Output | 977K In / 879K Out | 200K In / 128K Out | MiniMax: MiniMax-01 |
| P90 First-Token / Edge Latency | 280ms | 280ms | MiniMax: MiniMax-01 (-0ms) |
MiniMax-01 is a combines MiniMax-Text-01 for text generation and MiniMax-VL-01 for image understanding. It has 456 billion parameters, with 45.9 billion parameters activated per in
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates sign
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-01 to Z.ai: GLM 4.7
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates sign Verified P90 latency of 280ms.