Meta: Muse Spark 1.2 vs SpaceXAI: Grok Build 0.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Muse Spark 1.2 (meta/muse-spark-1.2) vs SpaceXAI: Grok Build 0.1 (x-ai/grok-build-0.1). 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.
SpaceXAI: Grok Build 0.1 (x-ai/grok-build-0.1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for SpaceXAI: Grok Build 0.1: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.5/1M) 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 SpaceXAI: Grok Build 0.1 (API ID: x-ai/grok-build-0.1), SpaceXAI: Grok Build 0.1 offers lower standard input pricing at $1/1M tokens ($2/1M output), while SpaceXAI: Grok Build 0.1 leads in cached prefix economics at $0.5/1M 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 | SpaceXAI: Grok Build 0.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta/muse-spark-1.2 | x-ai/grok-build-0.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.25 / $4.25 | $1 / $2 | SpaceXAI: Grok Build 0.1 |
| Cache Read Price (per 1M) | $0.625/1M (50% Off) | $0.5/1M (50% Off) | SpaceXAI: Grok Build 0.1 |
| Context Window / Max Output | 1024K In / 922K Out | 250K In / 225K 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
Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized
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 SpaceXAI: Grok Build 0.1
Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized Verified P90 latency of 280ms.