Meta: Muse Spark 1.2 Contributor vs DeepSeek: DeepSeek Pro Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Muse Spark 1.2 Contributor (meta/muse-spark-1.2-contributor) vs DeepSeek: DeepSeek Pro Latest (~deepseek/deepseek-pro-latest). 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.
DeepSeek: DeepSeek Pro Latest (~deepseek/deepseek-pro-latest) — Automatic Disk KV Cache ($0.0654/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
In Etuki October 2026 FinOps telemetry comparing Meta: Muse Spark 1.2 Contributor (API ID: meta/muse-spark-1.2-contributor) vs DeepSeek: DeepSeek Pro Latest (API ID: ~deepseek/deepseek-pro-latest), 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 | DeepSeek: DeepSeek Pro Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta/muse-spark-1.2-contributor | ~deepseek/deepseek-pro-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.2 | $0.1307 / $8 | Meta: Muse Spark 1.2 Contributor |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $0.0654/1M (50% Off) | Meta: Muse Spark 1.2 Contributor |
| Context Window / Max Output | 1024K In / 922K Out | 1024K In / 384K 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..
This model always redirects to the latest model in the DeepSeek Pro family.
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 DeepSeek: DeepSeek Pro Latest
This model always redirects to the latest model in the DeepSeek Pro family. Verified P90 latency of 280ms.