Amazon: Nova Pro 1.0 vs Google: Nano Banana Pro (Gemini 3 Pro Image): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Amazon: Nova Pro 1.0 (amazon/nova-pro-v1) vs Google: Nano Banana Pro (Gemini 3 Pro Image) (google/gemini-3-pro-image). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Amazon: Nova Pro 1.0 (amazon/nova-pro-v1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Amazon: Nova Pro 1.0: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.4/1M) or route via asynchronous Batch API for 50% off standard token rates.
Google: Nano Banana Pro (Gemini 3 Pro Image) (google/gemini-3-pro-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.
In Etuki October 2026 FinOps telemetry comparing Amazon: Nova Pro 1.0 (API ID: amazon/nova-pro-v1) vs Google: Nano Banana Pro (Gemini 3 Pro Image) (API ID: google/gemini-3-pro-image), Amazon: Nova Pro 1.0 offers lower standard input pricing at $0.8/1M tokens ($3.2/1M output), while Amazon: Nova Pro 1.0 leads in cached prefix economics at $0.4/1M tokens (50% discount). Amazon: Nova Pro 1.0 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 | Amazon: Nova Pro 1.0 | Google: Nano Banana Pro (Gemini 3 Pro Image) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | amazon/nova-pro-v1 | google/gemini-3-pro-image | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.8 / $3.2 | $2 / $12 | Amazon: Nova Pro 1.0 |
| Cache Read Price (per 1M) | $0.4/1M (50% Off) | $1/1M (50% Off) | Amazon: Nova Pro 1.0 |
| Context Window / Max Output | 293K In / 5K Out | 128K In / 32K Out | Google: Nano Banana Pro (Gemini 3 Pro Image) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Amazon: Nova Pro 1.0 (-0ms) |
Amazon Nova Pro 1.0 is a capable multimodal model from Amazon focused on providing a combination of accuracy, speed, and cost for a wide range of tasks. As of December...
Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reas
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 Amazon: Nova Pro 1.0 to Google: Nano Banana Pro (Gemini 3 Pro Image)
Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reas Verified P90 latency of 280ms.