Thinking Machines: Inkling vs MoonshotAI: Kimi K2 0905: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Thinking Machines: Inkling (thinkingmachines/inkling) vs MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905). 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.
MoonshotAI: Kimi K2 0905 (moonshotai/kimi-k2-0905) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2 0905: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.3/1M) 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 MoonshotAI: Kimi K2 0905 (API ID: moonshotai/kimi-k2-0905), MoonshotAI: Kimi K2 0905 offers lower standard input pricing at $0.6/1M tokens ($2.5/1M output), while MoonshotAI: Kimi K2 0905 leads in cached prefix economics at $0.3/1M 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 | MoonshotAI: Kimi K2 0905 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | thinkingmachines/inkling | moonshotai/kimi-k2-0905 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $4.05 | $0.6 / $2.5 | MoonshotAI: Kimi K2 0905 |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.3/1M (50% Off) | MoonshotAI: Kimi K2 0905 |
| Context Window / Max Output | 512K In / 461K Out | 256K In / 96K 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
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trilli
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 MoonshotAI: Kimi K2 0905
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trilli Verified P90 latency of 280ms.