Google: Nano Banana 2 (Gemini 3.1 Flash Image) vs Google: Gemini 2.5 Pro (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Nano Banana 2 (Gemini 3.1 Flash Image) (google/gemini-3.1-flash-image) vs Google: Gemini 2.5 Pro (batch) (google/gemini-2.5-pro:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Nano Banana 2 (Gemini 3.1 Flash Image) (google/gemini-3.1-flash-image) — 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: Gemini 2.5 Pro (batch) (google/gemini-2.5-pro: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.
In Etuki October 2026 FinOps telemetry comparing Google: Nano Banana 2 (Gemini 3.1 Flash Image) (API ID: google/gemini-3.1-flash-image) vs Google: Gemini 2.5 Pro (batch) (API ID: google/gemini-2.5-pro:batch), Google: Nano Banana 2 (Gemini 3.1 Flash Image) offers lower standard input pricing at $0.5/1M tokens ($3/1M output), while Google: Nano Banana 2 (Gemini 3.1 Flash Image) leads in cached prefix economics at $0.25/1M tokens (50% discount). Google: Nano Banana 2 (Gemini 3.1 Flash Image) 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: Nano Banana 2 (Gemini 3.1 Flash Image) | Google: Gemini 2.5 Pro (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.1-flash-image | google/gemini-2.5-pro:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $3 | $0.625 / $5 | Google: Nano Banana 2 (Gemini 3.1 Flash Image) |
| Cache Read Price (per 1M) | $0.25/1M (50% Off) | $0.3125/1M (50% Off) | Google: Nano Banana 2 (Gemini 3.1 Flash Image) |
| Context Window / Max Output | 128K In / 32K Out | 1024K In / 64K Out | Google: Gemini 2.5 Pro (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Nano Banana 2 (Gemini 3.1 Flash Image) (-0ms) |
Google: Nano Banana 2 (Gemini 3.1 Flash Image)
API ID: google/gemini-3.1-flash-image • Live RegistryGemini 3.1 Flash Image, a.k.a. "Nano Banana 2," is Google’s latest state of the art image generation and editing model, delivering Pro-level visual quality at Flash speed. It combi
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to
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: Nano Banana 2 (Gemini 3.1 Flash Image) to Google: Gemini 2.5 Pro (batch)
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to Verified P90 latency of 280ms.