Meta: Muse Wonder vs Z.ai: GLM 4.7: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Muse Wonder (meta/muse-wonder) vs Z.ai: GLM 4.7 (z-ai/glm-4.7). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Meta: Muse Wonder (meta/muse-wonder) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Muse Wonder: Activate ephemeral prefix caching to slash input costs by 50% (down to $2/1M) 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 Meta: Muse Wonder (API ID: meta/muse-wonder) vs Z.ai: GLM 4.7 (API ID: z-ai/glm-4.7), Z.ai: GLM 4.7 offers lower standard input pricing at $0.6/1M tokens ($2.2/1M output), while Z.ai: GLM 4.7 leads in cached prefix economics at $0.3/1M tokens (50% discount). Meta: Muse Wonder 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 | Meta: Muse Wonder | Z.ai: GLM 4.7 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta/muse-wonder | z-ai/glm-4.7 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $4 / $20 | $0.6 / $2.2 | Z.ai: GLM 4.7 |
| Cache Read Price (per 1M) | $2/1M (50% Off) | $0.3/1M (50% Off) | Z.ai: GLM 4.7 |
| Context Window / Max Output | 1024K In / 922K Out | 200K In / 128K Out | Meta: Muse Wonder |
| P90 First-Token / Edge Latency | 280ms | 280ms | Meta: Muse Wonder (-0ms) |
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and retu
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 Meta: Muse Wonder 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.