Meta: Muse Spark 1.2 vs xAI Grok 4.7: Live Promos, Pricing, Hidden Fees & 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.
xAI Grok 4.7 (x-ai/grok-4.7) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for xAI Grok 4.7: Activate ephemeral prefix caching to slash input costs by 75% (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 xAI Grok 4.7 (API ID: x-ai/grok-4.7), Meta: Muse Spark 1.2 offers lower standard input pricing at $1.25/1M tokens ($4.25/1M output), while xAI Grok 4.7 leads in cached prefix economics at $0.5/1M tokens (75% discount). xAI Grok 4.7 achieves a 150ms faster P90 time-to-first-token latency (130ms vs 280ms).
Auto-discovered via live global telemetry registry.
⚠️ 200K Full-Request Cliff: Prompts >=200,000 tokens (including cached tokens) double to $4.00/$12.00 ($1.00 cache). US regional endpoint adds +10%.
| Specification / FinOps Dimension | Meta: Muse Spark 1.2 | xAI Grok 4.7 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta/muse-spark-1.2 | x-ai/grok-4.7 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.25 / $4.25 | $2 / $6 | Meta: Muse Spark 1.2 |
| Cache Read Price (per 1M) | $0.625/1M (50% Off) | $0.5/1M (75% Off) | xAI Grok 4.7 |
| Context Window / Max Output | 1024K In / 922K Out | 500K In / 128K Out | Meta: Muse Spark 1.2 |
| P90 First-Token / Edge Latency | 280ms | 130ms | xAI Grok 4.7 (-150ms) |
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
xAI Grok 4.7 frontier reasoning model: <200K tokens at $2.00/$6.00 (Cache $0.50/1M); >=200K tokens jumps 2x to $4.00/$12.00 (Cache $1.00/1M) for the full request.
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 xAI Grok 4.7
xAI Grok 4.7 frontier reasoning model: <200K tokens at $2.00/$6.00 (Cache $0.50/1M); >=200K tokens jumps 2x to $4.00/$12.00 (Cache $1.00/1M) for the full request. Verified P90 latency of 130ms.