Google: Gemini 3.6 Flash vs Perceptron: Perceptron Mk1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 3.6 Flash (google/gemini-3.6-flash) vs Perceptron: Perceptron Mk1 (perceptron/perceptron-mk1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 3.6 Flash (google/gemini-3.6-flash) — 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.
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.
In Etuki October 2026 FinOps telemetry comparing Google: Gemini 3.6 Flash (API ID: google/gemini-3.6-flash) vs Perceptron: Perceptron Mk1 (API ID: perceptron/perceptron-mk1), 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). Google: Gemini 3.6 Flash 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 3.6 Flash | Perceptron: Perceptron Mk1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.6-flash | perceptron/perceptron-mk1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.75 / $3.75 | $0.15 / $1.5 | Perceptron: Perceptron Mk1 |
| Cache Read Price (per 1M) | $0.375/1M (50% Off) | $0.075/1M (50% Off) | Perceptron: Perceptron Mk1 |
| Context Window / Max Output | 1024K In / 64K Out | 32K In / 8K Out | Google: Gemini 3.6 Flash |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 3.6 Flash (-0ms) |
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessar
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
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 3.6 Flash to Perceptron: Perceptron Mk1
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 Verified P90 latency of 280ms.