Thinking Machines: Inkling vs Perceptron: Perceptron Mk1.5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Thinking Machines: Inkling (thinkingmachines/inkling) vs Perceptron: Perceptron Mk1.5 (perceptron/perceptron-mk1.5). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Thinking Machines: Inkling (thinkingmachines/inkling) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Thinking Machines: Inkling: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
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 Thinking Machines: Inkling (API ID: thinkingmachines/inkling) 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). Thinking Machines: Inkling 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 | Thinking Machines: Inkling | Perceptron: Perceptron Mk1.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | thinkingmachines/inkling | perceptron/perceptron-mk1.5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $4.05 | $0.15 / $1.5 | Perceptron: Perceptron Mk1.5 |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.075/1M (50% Off) | Perceptron: Perceptron Mk1.5 |
| Context Window / Max Output | 512K In / 461K Out | 36K In / 8K Out | Thinking Machines: Inkling |
| P90 First-Token / Edge Latency | 280ms | 280ms | Thinking Machines: Inkling (-0ms) |
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning
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 Thinking Machines: Inkling 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.