Perceptron: Perceptron Mk1 vs Google: Nano Banana 2.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Perceptron: Perceptron Mk1 (perceptron/perceptron-mk1) vs Google: Nano Banana 2.1 (google/gemini-nano-banana-2.1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Perceptron: Perceptron Mk1 (perceptron/perceptron-mk1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Perceptron: Perceptron Mk1: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.075/1M) or route via asynchronous Batch API for 50% off standard token rates.
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 Perceptron: Perceptron Mk1 (API ID: perceptron/perceptron-mk1) vs Google: Nano Banana 2.1 (API ID: google/gemini-nano-banana-2.1), Perceptron: Perceptron Mk1 offers lower standard input pricing at $0.15/1M tokens ($1.5/1M output), while Perceptron: Perceptron Mk1 leads in cached prefix economics at $0.075/1M tokens (50% discount). Perceptron: Perceptron Mk1 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 | Perceptron: Perceptron Mk1 | Google: Nano Banana 2.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | perceptron/perceptron-mk1 | google/gemini-nano-banana-2.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.15 / $1.5 | $1.5 / $7.5 | Perceptron: Perceptron Mk1 |
| Cache Read Price (per 1M) | $0.075/1M (50% Off) | $0.75/1M (50% Off) | Perceptron: Perceptron Mk1 |
| Context Window / Max Output | 32K In / 8K Out | 64K In / 58K Out | Google: Nano Banana 2.1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Perceptron: Perceptron Mk1 (-0ms) |
Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language q
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 Perceptron: Perceptron Mk1 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.