Google: Nano Banana 2.1 vs OpenAI: o1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Nano Banana 2.1 (google/gemini-nano-banana-2.1) vs OpenAI: o1 (openai/o1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
OpenAI: o1 (openai/o1) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing Google: Nano Banana 2.1 (API ID: google/gemini-nano-banana-2.1) vs OpenAI: o1 (API ID: openai/o1), Google: Nano Banana 2.1 offers lower standard input pricing at $1.5/1M tokens ($7.5/1M output), while Google: Nano Banana 2.1 leads in cached prefix economics at $0.75/1M tokens (50% discount). Google: Nano Banana 2.1 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 2.1 | OpenAI: o1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-nano-banana-2.1 | openai/o1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.5 / $7.5 | $15 / $60 | Google: Nano Banana 2.1 |
| Cache Read Price (per 1M) | $0.75/1M (50% Off) | $7.5/1M (50% Off) | Google: Nano Banana 2.1 |
| Context Window / Max Output | 64K In / 58K Out | 195K In / 98K Out | OpenAI: o1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Nano Banana 2.1 (-0ms) |
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
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learn
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 2.1 to OpenAI: o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learn Verified P90 latency of 280ms.