Meta: Muse Spark 1.3 Contributor vs Inception: Mercury 3: Live Promos, Pricing, Hidden Fees & Latency
Meta: Muse Spark 1.3 Contributor (meta/muse-spark-1.3-contributor) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Muse Spark 1.3 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.
Inception: Mercury 3 (inception/mercury-3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Inception: Mercury 3: 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.
In Etuki October 2026 FinOps telemetry comparing Meta: Muse Spark 1.3 Contributor (API ID: meta/muse-spark-1.3-contributor) vs Inception: Mercury 3 (API ID: inception/mercury-3), Meta: Muse Spark 1.3 Contributor offers lower standard input pricing at $0.1/1M tokens ($0.2/1M output), while Meta: Muse Spark 1.3 Contributor leads in cached prefix economics at $0.05/1M tokens (50% discount). Meta: Muse Spark 1.3 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 1.3 Contributor | Inception: Mercury 3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta/muse-spark-1.3-contributor | inception/mercury-3 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.2 | $0.1 / $0.35 | Meta: Muse Spark 1.3 Contributor |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $0.05/1M (50% Off) | Meta: Muse Spark 1.3 Contributor |
| Context Window / Max Output | 1024K In / 922K Out | 977K In / 128K Out | Meta: Muse Spark 1.3 Contributor |
| P90 First-Token / Edge Latency | 280ms | 280ms | Meta: Muse Spark 1.3 Contributor (-0ms) |
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and codi
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency
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 1.3 Contributor to Inception: Mercury 3
Mercury 3 is a diffusion-based language model from Inception, and the lab's most capable model to date. It is suited for agentic workflows and real-time applications where latency Verified P90 latency of 280ms.