Perplexity: Sonar Pro Search vs Meta: Muse Spark Open: Live Promos, Pricing, Hidden Fees & Latency
Perplexity: Sonar Pro Search (perplexity/sonar-pro-search) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Perplexity: Sonar Pro Search: Activate ephemeral prefix caching to slash input costs by 50% (down to 1.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meta: Muse Spark Open (meta/muse-spark-open) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Muse Spark Open: 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.
In Etuki October 2026 FinOps telemetry comparing Perplexity: Sonar Pro Search (API ID: perplexity/sonar-pro-search) vs Meta: Muse Spark Open (API ID: meta/muse-spark-open), Meta: Muse Spark Open offers lower standard input pricing at $1.25/1M tokens ($4.25/1M output), while Meta: Muse Spark Open leads in cached prefix economics at $0.625/1M tokens (50% discount). Perplexity: Sonar Pro Search 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 | Perplexity: Sonar Pro Search | Meta: Muse Spark Open | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | perplexity/sonar-pro-search | meta/muse-spark-open | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $3 / $15 | $1.25 / $4.25 | Meta: Muse Spark Open |
| Cache Read Price (per 1M) | $1.5/1M (50% Off) | $0.625/1M (50% Off) | Meta: Muse Spark Open |
| Context Window / Max Output | 195K In / 8K Out | 1024K In / 922K Out | Meta: Muse Spark Open |
| P90 First-Token / Edge Latency | 280ms | 280ms | Perplexity: Sonar Pro Search (-0ms) |
Exclusively available on the OpenRouter API, Sonar Pro's new Pro Search mode is Perplexity's most advanced agentic search system. It is designed for deeper reasoning and analysis.
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and de
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 Perplexity: Sonar Pro Search to Meta: Muse Spark Open
Muse Spark Open is a coding-optimized open-weight model. Trained specifically for agentic coding workflows, it delivers higher first-attempt accuracy, reliable tool calling, and de Verified P90 latency of 280ms.