Google: Gemini 3.1 Pro Preview (batch) vs Meta: Muse Spark 1.2: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 3.1 Pro Preview (batch) (google/gemini-3.1-pro-preview:batch) vs Meta: Muse Spark 1.2 (meta/muse-spark-1.2). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 3.1 Pro Preview (batch) (google/gemini-3.1-pro-preview:batch) — Google AI Startup Credits ($350K) & 50% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
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.
In Etuki October 2026 FinOps telemetry comparing Google: Gemini 3.1 Pro Preview (batch) (API ID: google/gemini-3.1-pro-preview:batch) vs Meta: Muse Spark 1.2 (API ID: meta/muse-spark-1.2), Google: Gemini 3.1 Pro Preview (batch) offers lower standard input pricing at $1/1M tokens ($6/1M output), while Google: Gemini 3.1 Pro Preview (batch) leads in cached prefix economics at $0.5/1M tokens (50% discount). Google: Gemini 3.1 Pro Preview (batch) 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 | Google: Gemini 3.1 Pro Preview (batch) | Meta: Muse Spark 1.2 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.1-pro-preview:batch | meta/muse-spark-1.2 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $6 | $1.25 / $4.25 | Google: Gemini 3.1 Pro Preview (batch) |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.625/1M (50% Off) | Google: Gemini 3.1 Pro Preview (batch) |
| Context Window / Max Output | 1024K In / 64K Out | 1024K In / 922K Out | Meta: Muse Spark 1.2 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 3.1 Pro Preview (batch) (-0ms) |
Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage acro
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
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 Google: Gemini 3.1 Pro Preview (batch) to Meta: Muse Spark 1.2
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 Verified P90 latency of 280ms.