Sakana: Sakana Namazu vs Xiaomi: MiMo-V2.6-Pro: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Sakana: Sakana Namazu (sakana/sakana-namazu) vs Xiaomi: MiMo-V2.6-Pro (xiaomi/mimo-v2.6-pro). 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.
Xiaomi: MiMo-V2.6-Pro (xiaomi/mimo-v2.6-pro) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Xiaomi: MiMo-V2.6-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 Sakana: Sakana Namazu (API ID: sakana/sakana-namazu) vs Xiaomi: MiMo-V2.6-Pro (API ID: xiaomi/mimo-v2.6-pro), Xiaomi: MiMo-V2.6-Pro offers lower standard input pricing at $0.435/1M tokens ($0.87/1M output), while Xiaomi: MiMo-V2.6-Pro leads in cached prefix economics at $0.2175/1M 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 | Xiaomi: MiMo-V2.6-Pro | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | sakana/sakana-namazu | xiaomi/mimo-v2.6-pro | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.95 / $4 | $0.435 / $0.87 | Xiaomi: MiMo-V2.6-Pro |
| Cache Read Price (per 1M) | $0.475/1M (50% Off) | $0.2175/1M (50% Off) | Xiaomi: MiMo-V2.6-Pro |
| Context Window / Max Output | 256K In / 64K Out | 1025K In / 128K Out | Xiaomi: MiMo-V2.6-Pro |
| 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
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding.
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 Xiaomi: MiMo-V2.6-Pro
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding. Verified P90 latency of 280ms.