Z.ai: GLM 5.3 Prime vs Sakana: Fugu Max: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Z.ai: GLM 5.3 Prime (z-ai/glm-5.3-prime) vs Sakana: Fugu Max (sakana/fugu-max). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Z.ai: GLM 5.3 Prime (z-ai/glm-5.3-prime) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Z.ai: GLM 5.3 Prime: Activate ephemeral prefix caching to slash input costs by 50% (down to $1.4/1M) or route via asynchronous Batch API for 50% off standard token rates.
Sakana: Fugu Max (sakana/fugu-max) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Sakana: Fugu Max: Activate ephemeral prefix caching to slash input costs by 50% (down to $1/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Z.ai: GLM 5.3 Prime (API ID: z-ai/glm-5.3-prime) vs Sakana: Fugu Max (API ID: sakana/fugu-max), Sakana: Fugu Max offers lower standard input pricing at $2/1M tokens ($6/1M output), while Sakana: Fugu Max leads in cached prefix economics at $1/1M tokens (50% discount). Z.ai: GLM 5.3 Prime 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 | Z.ai: GLM 5.3 Prime | Sakana: Fugu Max | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | z-ai/glm-5.3-prime | sakana/fugu-max | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.8 / $8.8 | $2 / $6 | Sakana: Fugu Max |
| Cache Read Price (per 1M) | $1.4/1M (50% Off) | $1/1M (50% Off) | Sakana: Fugu Max |
| Context Window / Max Output | 977K In / 128K Out | 977K In / 125K Out | Z.ai: GLM 5.3 Prime |
| P90 First-Token / Edge Latency | 280ms | 280ms | Z.ai: GLM 5.3 Prime (-0ms) |
GLM-5.3-Prime is the high-speed variant of Z.ai's GLM-5.3, inheriting its full capabilities while delivering 1.5–2× the output throughput through inference acceleration. It support
Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model train
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 Z.ai: GLM 5.3 Prime to Sakana: Fugu Max
Fugu Max is the cost-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language model train Verified P90 latency of 280ms.