Sakana: Sakana Namazu vs Z.ai: GLM Flash Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Sakana: Sakana Namazu (sakana/sakana-namazu) vs Z.ai: GLM Flash Latest (~z-ai/glm-flash-latest). 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.
Z.ai: GLM Flash Latest (~z-ai/glm-flash-latest) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM Flash Latest: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.018/1M) 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 Z.ai: GLM Flash Latest (API ID: ~z-ai/glm-flash-latest), Z.ai: GLM Flash Latest offers lower standard input pricing at $0.036/1M tokens ($0.9/1M output), while Z.ai: GLM Flash Latest leads in cached prefix economics at $0.018/1M 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 | Z.ai: GLM Flash Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | sakana/sakana-namazu | ~z-ai/glm-flash-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.95 / $4 | $0.036 / $0.9 | Z.ai: GLM Flash Latest |
| Cache Read Price (per 1M) | $0.475/1M (50% Off) | $0.018/1M (50% Off) | Z.ai: GLM Flash Latest |
| Context Window / Max Output | 256K In / 64K Out | 1024K In / 922K Out | Z.ai: GLM Flash Latest |
| 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
This model always redirects to the latest model in the GLM Flash family.
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 Z.ai: GLM Flash Latest
This model always redirects to the latest model in the GLM Flash family. Verified P90 latency of 280ms.