Thinking Machines: Inkling Small (free) vs Xiaomi: MiMo-V2.5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Thinking Machines: Inkling Small (free) (thinkingmachines/inkling-small:free) vs Xiaomi: MiMo-V2.5 (xiaomi/mimo-v2.5). 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.
Xiaomi: MiMo-V2.5 (xiaomi/mimo-v2.5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Xiaomi: MiMo-V2.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.07/1M) 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 Xiaomi: MiMo-V2.5 (API ID: xiaomi/mimo-v2.5), 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) | Xiaomi: MiMo-V2.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | thinkingmachines/inkling-small:free | xiaomi/mimo-v2.5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0 / $0 | $0.14 / $0.28 | Thinking Machines: Inkling Small (free) |
| Cache Read Price (per 1M) | $0/1M (50% Off) | $0.07/1M (50% Off) | Thinking Machines: Inkling Small (free) |
| Context Window / Max Output | 1024K In / 256K Out | 1025K In / 128K 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
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perceptio
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 Xiaomi: MiMo-V2.5
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perceptio Verified P90 latency of 280ms.