Meta: Muse Spark 1.2 Contributor vs Z.ai: GLM 4.6V: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Muse Spark 1.2 Contributor (meta/muse-spark-1.2-contributor) vs Z.ai: GLM 4.6V (z-ai/glm-4.6v). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Meta: Muse Spark 1.2 Contributor (meta/muse-spark-1.2-contributor) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Muse Spark 1.2 Contributor: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
Z.ai: GLM 4.6V (z-ai/glm-4.6v) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 4.6V: 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 Meta: Muse Spark 1.2 Contributor (API ID: meta/muse-spark-1.2-contributor) vs Z.ai: GLM 4.6V (API ID: z-ai/glm-4.6v), Meta: Muse Spark 1.2 Contributor offers lower standard input pricing at $0.1/1M tokens ($0.2/1M output), while Meta: Muse Spark 1.2 Contributor leads in cached prefix economics at $0.05/1M tokens (50% discount). Meta: Muse Spark 1.2 Contributor 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 Contributor | Z.ai: GLM 4.6V | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta/muse-spark-1.2-contributor | z-ai/glm-4.6v | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.2 | $0.3 / $0.9 | Meta: Muse Spark 1.2 Contributor |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $0.15/1M (50% Off) | Meta: Muse Spark 1.2 Contributor |
| Context Window / Max Output | 1024K In / 922K Out | 128K In / 32K Out | Meta: Muse Spark 1.2 Contributor |
| P90 First-Token / Edge Latency | 280ms | 280ms | Meta: Muse Spark 1.2 Contributor (-0ms) |
Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark..
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K to
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 Contributor to Z.ai: GLM 4.6V
GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media. It supports up to 128K to Verified P90 latency of 280ms.