Sakana: Sakana Namazu vs Thinking Machines: Inkling (free): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Sakana: Sakana Namazu (sakana/sakana-namazu) vs Thinking Machines: Inkling (free) (thinkingmachines/inkling:free). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Sakana: Sakana Namazu (sakana/sakana-namazu) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Sakana: Sakana Namazu: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.475/1M) or route via asynchronous Batch API for 50% off standard token rates.
Thinking Machines: Inkling (free) (thinkingmachines/inkling:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Thinking Machines: Inkling (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 Sakana: Sakana Namazu (API ID: sakana/sakana-namazu) vs Thinking Machines: Inkling (free) (API ID: thinkingmachines/inkling:free), Thinking Machines: Inkling (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Thinking Machines: Inkling (free) leads in cached prefix economics at $0/1M tokens (50% discount). Sakana: Sakana Namazu 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 | Sakana: Sakana Namazu | Thinking Machines: Inkling (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | sakana/sakana-namazu | thinkingmachines/inkling:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.95 / $4 | $0 / $0 | Thinking Machines: Inkling (free) |
| Cache Read Price (per 1M) | $0.475/1M (50% Off) | $0/1M (50% Off) | Thinking Machines: Inkling (free) |
| Context Window / Max Output | 256K In / 64K Out | 1024K In / 256K Out | Thinking Machines: Inkling (free) |
| P90 First-Token / Edge Latency | 280ms | 280ms | Sakana: Sakana Namazu (-0ms) |
Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Ja
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
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 Sakana: Sakana Namazu to Thinking Machines: Inkling (free)
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 Verified P90 latency of 280ms.