Google Gemini 3.8 Flash vs Perceptron: Perceptron Mk1.5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google Gemini 3.8 Flash (gemini-3.8-flash) vs Perceptron: Perceptron Mk1.5 (perceptron/perceptron-mk1.5). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google Gemini 3.8 Flash (gemini-3.8-flash) — Google AI Startup Credits ($350K) & 80% 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 Mk1.5 (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.
In Etuki October 2026 FinOps telemetry comparing Google Gemini 3.8 Flash (API ID: gemini-3.8-flash) vs Perceptron: Perceptron Mk1.5 (API ID: perceptron/perceptron-mk1.5), Google Gemini 3.8 Flash offers lower standard input pricing at $0.15/1M tokens ($0.6/1M output), while Google Gemini 3.8 Flash leads in cached prefix economics at $0.03/1M tokens (80% discount). Google Gemini 3.8 Flash achieves a 145ms faster P90 time-to-first-token latency (135ms vs 280ms).
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Google Gemini 3.8 Flash | Perceptron: Perceptron Mk1.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | gemini-3.8-flash | perceptron/perceptron-mk1.5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.15 / $0.6 | $0.15 / $1.5 | Google Gemini 3.8 Flash |
| Cache Read Price (per 1M) | $0.03/1M (80% Off) | $0.075/1M (50% Off) | Google Gemini 3.8 Flash |
| Context Window / Max Output | 1000K In / 64K Out | 36K In / 8K Out | Google Gemini 3.8 Flash |
| P90 First-Token / Edge Latency | 135ms | 280ms | Google Gemini 3.8 Flash (-145ms) |
High-frequency multimodal, TTS, and live streaming model optimized for low-latency production workloads.
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
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 3.8 Flash to Perceptron: Perceptron Mk1.5
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 Verified P90 latency of 280ms.