Perceptron: Perceptron Mk1.5 vs Google: Gemini 3.6 Flash (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Perceptron: Perceptron Mk1.5 (perceptron/perceptron-mk1.5) vs Google: Gemini 3.6 Flash (batch) (google/gemini-3.6-flash:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Perceptron: Perceptron Mk1.5 (perceptron/perceptron-mk1.5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Perceptron: Perceptron Mk1.5: 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: Gemini 3.6 Flash (batch) (google/gemini-3.6-flash: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 Perceptron: Perceptron Mk1.5 (API ID: perceptron/perceptron-mk1.5) vs Google: Gemini 3.6 Flash (batch) (API ID: google/gemini-3.6-flash:batch), Perceptron: Perceptron Mk1.5 offers lower standard input pricing at $0.15/1M tokens ($1.5/1M output), while Perceptron: Perceptron Mk1.5 leads in cached prefix economics at $0.075/1M tokens (50% discount). Perceptron: Perceptron Mk1.5 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 Mk1.5 | Google: Gemini 3.6 Flash (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | perceptron/perceptron-mk1.5 | google/gemini-3.6-flash:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.15 / $1.5 | $0.375 / $1.875 | Perceptron: Perceptron Mk1.5 |
| Cache Read Price (per 1M) | $0.075/1M (50% Off) | $0.1875/1M (50% Off) | Perceptron: Perceptron Mk1.5 |
| Context Window / Max Output | 36K In / 8K Out | 1024K In / 64K Out | Google: Gemini 3.6 Flash (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Perceptron: Perceptron Mk1.5 (-0ms) |
Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annota
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
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 Mk1.5 to Google: Gemini 3.6 Flash (batch)
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 Verified P90 latency of 280ms.