Amazon: Nova Premier 1.0 vs Sakana: Fugu Max: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Amazon: Nova Premier 1.0 (amazon/nova-premier-v1) vs Sakana: Fugu Max (sakana/fugu-max). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Amazon: Nova Premier 1.0 (amazon/nova-premier-v1) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Amazon: Nova Premier 1.0: Activate ephemeral prefix caching to slash input costs by 50% (down to $1.25/1M) 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 Amazon: Nova Premier 1.0 (API ID: amazon/nova-premier-v1) 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). Amazon: Nova Premier 1.0 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 | Amazon: Nova Premier 1.0 | Sakana: Fugu Max | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | amazon/nova-premier-v1 | sakana/fugu-max | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.5 / $12.5 | $2 / $6 | Sakana: Fugu Max |
| Cache Read Price (per 1M) | $1.25/1M (50% Off) | $1/1M (50% Off) | Sakana: Fugu Max |
| Context Window / Max Output | 977K In / 31K Out | 977K In / 125K Out | Sakana: Fugu Max |
| P90 First-Token / Edge Latency | 280ms | 280ms | Amazon: Nova Premier 1.0 (-0ms) |
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
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 Amazon: Nova Premier 1.0 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.