Z.ai: GLM 4.5V vs Meta: Muse Glimmer 30B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Z.ai: GLM 4.5V (z-ai/glm-4.5v) vs Meta: Muse Glimmer 30B (meta/muse-glimmer-30b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Z.ai: GLM 4.5V (z-ai/glm-4.5v) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.5V: 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.
Meta: Muse Glimmer 30B (meta/muse-glimmer-30b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Muse Glimmer 30B: 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 4.5V (API ID: z-ai/glm-4.5v) vs Meta: Muse Glimmer 30B (API ID: meta/muse-glimmer-30b), Meta: Muse Glimmer 30B offers lower standard input pricing at $0.3/1M tokens ($1.2/1M output), while Meta: Muse Glimmer 30B leads in cached prefix economics at $0.15/1M tokens (50% discount). Z.ai: GLM 4.5V 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 4.5V | Meta: Muse Glimmer 30B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-4.5v | meta/muse-glimmer-30b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.6 / $1.8 | $0.3 / $1.2 | Meta: Muse Glimmer 30B |
| Cache Read Price (per 1M) | $0.3/1M (50% Off) | $0.15/1M (50% Off) | Meta: Muse Glimmer 30B |
| Context Window / Max Output | 64K In / 16K Out | 128K In / 16K Out | Z.ai: GLM 4.5V |
| P90 First-Token / Edge Latency | 280ms | 280ms | Z.ai: GLM 4.5V (-0ms) |
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters
Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It i
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 4.5V to Meta: Muse Glimmer 30B
Muse Glimmer 30B is a dense, open-weight multimodal model from Meta Superintelligence Labs, distilled from Muse Spark and optimized for autonomous agents on consumer hardware. It i Verified P90 latency of 280ms.