OpenAI: GPT-4 Turbo vs Perceptron: Perceptron Mk1.5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-4 Turbo (openai/gpt-4-turbo) vs Perceptron: Perceptron Mk1.5 (perceptron/perceptron-mk1.5). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-4 Turbo (openai/gpt-4-turbo) 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: GPT-4 Turbo (API ID: openai/gpt-4-turbo) 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: GPT-4 Turbo 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: GPT-4 Turbo | Perceptron: Perceptron Mk1.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-4-turbo | perceptron/perceptron-mk1.5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $10 / $30 | $0.15 / $1.5 | Perceptron: Perceptron Mk1.5 |
| Cache Read Price (per 1M) | $5/1M (50% Off) | $0.075/1M (50% Off) | Perceptron: Perceptron Mk1.5 |
| Context Window / Max Output | 125K In / 4K Out | 36K In / 8K Out | Perceptron: Perceptron Mk1.5 |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-4 Turbo (-0ms) |
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
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: GPT-4 Turbo 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.