Thinking Machines: Inkling Small (free) vs inclusionAI: Ling 3.0 Flash: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Thinking Machines: Inkling Small (free) (thinkingmachines/inkling-small:free) vs inclusionAI: Ling 3.0 Flash (inclusionai/ling-3.0-flash). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Thinking Machines: Inkling Small (free) (thinkingmachines/inkling-small:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Thinking Machines: Inkling Small (free): Activate ephemeral prefix caching to slash input costs by 50% (down to $0/1M) or route via asynchronous Batch API for 50% off standard token rates.
inclusionAI: Ling 3.0 Flash (inclusionai/ling-3.0-flash) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for inclusionAI: Ling 3.0 Flash: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0105/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Thinking Machines: Inkling Small (free) (API ID: thinkingmachines/inkling-small:free) vs inclusionAI: Ling 3.0 Flash (API ID: inclusionai/ling-3.0-flash), Thinking Machines: Inkling Small (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Thinking Machines: Inkling Small (free) leads in cached prefix economics at $0/1M tokens (50% discount). Thinking Machines: Inkling Small (free) 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 (free) | inclusionAI: Ling 3.0 Flash | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | thinkingmachines/inkling-small:free | inclusionai/ling-3.0-flash | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0 / $0 | $0.021 / $0.063 | Thinking Machines: Inkling Small (free) |
| Cache Read Price (per 1M) | $0/1M (50% Off) | $0.0105/1M (50% Off) | Thinking Machines: Inkling Small (free) |
| Context Window / Max Output | 1024K In / 256K Out | 256K In / 32K Out | Thinking Machines: Inkling Small (free) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Thinking Machines: Inkling Small (free) (-0ms) |
Thinking Machines: Inkling Small (free)
API ID: thinkingmachines/inkling-small:free • Live RegistryInkling 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
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and pr
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 (free) to inclusionAI: Ling 3.0 Flash
*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and pr Verified P90 latency of 280ms.