Perplexity: Sonar Deep Research vs Meta: Muse Spark 1.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Perplexity: Sonar Deep Research (perplexity/sonar-deep-research) vs Meta: Muse Spark 1.1 (meta/muse-spark-1.1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Perplexity: Sonar Deep Research (perplexity/sonar-deep-research) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Perplexity: Sonar Deep Research: Activate ephemeral prefix caching to slash input costs by 50% (down to $1/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meta: Muse Spark 1.1 (meta/muse-spark-1.1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Muse Spark 1.1: 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 Deep Research (API ID: perplexity/sonar-deep-research) vs Meta: Muse Spark 1.1 (API ID: meta/muse-spark-1.1), Meta: Muse Spark 1.1 offers lower standard input pricing at $1.25/1M tokens ($4.25/1M output), while Meta: Muse Spark 1.1 leads in cached prefix economics at $0.625/1M tokens (50% discount). Perplexity: Sonar Deep Research 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 Deep Research | Meta: Muse Spark 1.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | perplexity/sonar-deep-research | meta/muse-spark-1.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $8 | $1.25 / $4.25 | Meta: Muse Spark 1.1 |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $0.625/1M (50% Off) | Meta: Muse Spark 1.1 |
| Context Window / Max Output | 125K In / 113K Out | 1024K In / 922K Out | Meta: Muse Spark 1.1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Perplexity: Sonar Deep Research (-0ms) |
Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates so
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context windo
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 Deep Research to Meta: Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, and PDF documents and returns text, with a 1M-token context windo Verified P90 latency of 280ms.