OpenAI: o4 Mini High vs Perceptron: Perceptron Mk1.5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: o4 Mini High (openai/o4-mini-high) vs Perceptron: Perceptron Mk1.5 (perceptron/perceptron-mk1.5). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: o4 Mini High (openai/o4-mini-high) 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).
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 OpenAI: o4 Mini High (API ID: openai/o4-mini-high) vs Perceptron: Perceptron Mk1.5 (API ID: perceptron/perceptron-mk1.5), 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). OpenAI: o4 Mini High 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 | OpenAI: o4 Mini High | Perceptron: Perceptron Mk1.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/o4-mini-high | perceptron/perceptron-mk1.5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.1 / $4.4 | $0.15 / $1.5 | Perceptron: Perceptron Mk1.5 |
| Cache Read Price (per 1M) | $0.55/1M (50% Off) | $0.075/1M (50% Off) | Perceptron: Perceptron Mk1.5 |
| Context Window / Max Output | 195K In / 98K Out | 36K In / 8K Out | OpenAI: o4 Mini High |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: o4 Mini High (-0ms) |
OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fa
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 OpenAI: o4 Mini High 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.