Xiaomi: MiMo-V2.5-Pro vs Thinking Machines: Inkling Small (free): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Xiaomi: MiMo-V2.5-Pro (xiaomi/mimo-v2.5-pro) vs Thinking Machines: Inkling Small (free) (thinkingmachines/inkling-small:free). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Xiaomi: MiMo-V2.5-Pro (xiaomi/mimo-v2.5-pro) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Xiaomi: MiMo-V2.5-Pro: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.2175/1M) or route via asynchronous Batch API for 50% off standard token rates.
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.
In Etuki October 2026 FinOps telemetry comparing Xiaomi: MiMo-V2.5-Pro (API ID: xiaomi/mimo-v2.5-pro) vs Thinking Machines: Inkling Small (free) (API ID: thinkingmachines/inkling-small:free), 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). Xiaomi: MiMo-V2.5-Pro 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 | Xiaomi: MiMo-V2.5-Pro | Thinking Machines: Inkling Small (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | xiaomi/mimo-v2.5-pro | thinkingmachines/inkling-small:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.435 / $0.87 | $0 / $0 | Thinking Machines: Inkling Small (free) |
| Cache Read Price (per 1M) | $0.2175/1M (50% Off) | $0/1M (50% Off) | Thinking Machines: Inkling Small (free) |
| Context Window / Max Output | 1025K In / 128K Out | 1024K In / 256K Out | Thinking Machines: Inkling Small (free) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Xiaomi: MiMo-V2.5-Pro (-0ms) |
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on
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
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 Xiaomi: MiMo-V2.5-Pro to Thinking Machines: Inkling Small (free)
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 Verified P90 latency of 280ms.