Google: Gemini 3.1 Pro Preview (batch) vs Google: Nano Banana 2.1: 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 Google: Nano Banana 2.1 (google/gemini-nano-banana-2.1). 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.
Google: Nano Banana 2.1 (google/gemini-nano-banana-2.1) — 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.
In Etuki October 2026 FinOps telemetry comparing Google: Gemini 3.1 Pro Preview (batch) (API ID: google/gemini-3.1-pro-preview:batch) vs Google: Nano Banana 2.1 (API ID: google/gemini-nano-banana-2.1), 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) | Google: Nano Banana 2.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.1-pro-preview:batch | google/gemini-nano-banana-2.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $6 | $1.5 / $7.5 | Google: Gemini 3.1 Pro Preview (batch) |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.75/1M (50% Off) | Google: Gemini 3.1 Pro Preview (batch) |
| Context Window / Max Output | 1024K In / 64K Out | 64K In / 58K Out | Google: Gemini 3.1 Pro Preview (batch) |
| 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
Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product reconte
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 Google: Nano Banana 2.1
Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product reconte Verified P90 latency of 280ms.