Meta: Muse Spark 1.2 vs Z.ai: GLM 5V Turbo: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Muse Spark 1.2 (meta/muse-spark-1.2) vs Z.ai: GLM 5V Turbo (z-ai/glm-5v-turbo). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Meta: Muse Spark 1.2 (meta/muse-spark-1.2) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Muse Spark 1.2: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.625/1M) or route via asynchronous Batch API for 50% off standard token rates.
Z.ai: GLM 5V Turbo (z-ai/glm-5v-turbo) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 5V Turbo: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.6/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Meta: Muse Spark 1.2 (API ID: meta/muse-spark-1.2) vs Z.ai: GLM 5V Turbo (API ID: z-ai/glm-5v-turbo), Z.ai: GLM 5V Turbo offers lower standard input pricing at $1.2/1M tokens ($4/1M output), while Z.ai: GLM 5V Turbo leads in cached prefix economics at $0.6/1M tokens (50% discount). Meta: Muse Spark 1.2 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 Spark 1.2 | Z.ai: GLM 5V Turbo | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta/muse-spark-1.2 | z-ai/glm-5v-turbo | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.25 / $4.25 | $1.2 / $4 | Z.ai: GLM 5V Turbo |
| Cache Read Price (per 1M) | $0.625/1M (50% Off) | $0.6/1M (50% Off) | Z.ai: GLM 5V Turbo |
| Context Window / Max Output | 1024K In / 922K Out | 198K In / 128K Out | Meta: Muse Spark 1.2 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Meta: Muse Spark 1.2 (-0ms) |
Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, and PDF documents, returns text, and offers a 1M-token context wi
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, exce
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 Spark 1.2 to Z.ai: GLM 5V Turbo
GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, exce Verified P90 latency of 280ms.