Thinking Machines: Inkling vs Xiaomi: MiMo-V2.5-Pro: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Thinking Machines: Inkling (thinkingmachines/inkling) vs Xiaomi: MiMo-V2.5-Pro (xiaomi/mimo-v2.5-pro). 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.
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.
In Etuki October 2026 FinOps telemetry comparing Thinking Machines: Inkling (API ID: thinkingmachines/inkling) vs Xiaomi: MiMo-V2.5-Pro (API ID: xiaomi/mimo-v2.5-pro), Xiaomi: MiMo-V2.5-Pro offers lower standard input pricing at $0.435/1M tokens ($0.87/1M output), while Xiaomi: MiMo-V2.5-Pro leads in cached prefix economics at $0.2175/1M 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 | Xiaomi: MiMo-V2.5-Pro | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | thinkingmachines/inkling | xiaomi/mimo-v2.5-pro | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $4.05 | $0.435 / $0.87 | Xiaomi: MiMo-V2.5-Pro |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.2175/1M (50% Off) | Xiaomi: MiMo-V2.5-Pro |
| Context Window / Max Output | 512K In / 461K Out | 1025K In / 128K 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
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
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 Xiaomi: MiMo-V2.5-Pro
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 Verified P90 latency of 280ms.