Thinking Machines: Inkling Small vs TheDrummer: Cydonia 24B V4.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Thinking Machines: Inkling Small (thinkingmachines/inkling-small) vs TheDrummer: Cydonia 24B V4.1 (thedrummer/cydonia-24b-v4.1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Thinking Machines: Inkling Small (thinkingmachines/inkling-small) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Thinking Machines: Inkling Small: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.225/1M) or route via asynchronous Batch API for 50% off standard token rates.
TheDrummer: Cydonia 24B V4.1 (thedrummer/cydonia-24b-v4.1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for TheDrummer: Cydonia 24B V4.1: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Thinking Machines: Inkling Small (API ID: thinkingmachines/inkling-small) vs TheDrummer: Cydonia 24B V4.1 (API ID: thedrummer/cydonia-24b-v4.1), TheDrummer: Cydonia 24B V4.1 offers lower standard input pricing at $0.3/1M tokens ($0.5/1M output), while TheDrummer: Cydonia 24B V4.1 leads in cached prefix economics at $0.15/1M tokens (50% discount). Thinking Machines: Inkling Small 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 Small | TheDrummer: Cydonia 24B V4.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | thinkingmachines/inkling-small | thedrummer/cydonia-24b-v4.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.45 / $1.2 | $0.3 / $0.5 | TheDrummer: Cydonia 24B V4.1 |
| Cache Read Price (per 1M) | $0.225/1M (50% Off) | $0.15/1M (50% Off) | TheDrummer: Cydonia 24B V4.1 |
| Context Window / Max Output | 512K In / 256K Out | 128K In / 115K Out | Thinking Machines: Inkling Small |
| P90 First-Token / Edge Latency | 280ms | 280ms | Thinking Machines: Inkling Small (-0ms) |
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more
Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence.
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 Small to TheDrummer: Cydonia 24B V4.1
Uncensored and creative writing model based on Mistral Small 3.2 24B with good recall, prompt adherence, and intelligence. Verified P90 latency of 280ms.