Qwen: Qwen3 Next 80B A3B Instruct vs Sakana: Fugu Ultra v2: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3 Next 80B A3B Instruct (qwen/qwen3-next-80b-a3b-instruct) vs Sakana: Fugu Ultra v2 (sakana/fugu-ultra-v2). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3 Next 80B A3B Instruct (qwen/qwen3-next-80b-a3b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 Next 80B A3B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
Sakana: Fugu Ultra v2 (sakana/fugu-ultra-v2) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Sakana: Fugu Ultra v2: Activate ephemeral prefix caching to slash input costs by 50% (down to $2.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Qwen: Qwen3 Next 80B A3B Instruct (API ID: qwen/qwen3-next-80b-a3b-instruct) vs Sakana: Fugu Ultra v2 (API ID: sakana/fugu-ultra-v2), Qwen: Qwen3 Next 80B A3B Instruct offers lower standard input pricing at $0.1/1M tokens ($1.1/1M output), while Qwen: Qwen3 Next 80B A3B Instruct leads in cached prefix economics at $0.05/1M tokens (50% discount). Qwen: Qwen3 Next 80B A3B Instruct 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 | Qwen: Qwen3 Next 80B A3B Instruct | Sakana: Fugu Ultra v2 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3-next-80b-a3b-instruct | sakana/fugu-ultra-v2 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $1.1 | $5 / $30 | Qwen: Qwen3 Next 80B A3B Instruct |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $2.5/1M (50% Off) | Qwen: Qwen3 Next 80B A3B Instruct |
| Context Window / Max Output | 256K In / 230K Out | 977K In / 125K Out | Qwen: Qwen3 Next 80B A3B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3 Next 80B A3B Instruct (-0ms) |
Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks acr
Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language mode
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 Qwen: Qwen3 Next 80B A3B Instruct to Sakana: Fugu Ultra v2
Fugu Ultra v2 is the higher-performance model in Sakana AI's Fugu family. Rather than a single monolithic model, Fugu is a learned multi-agent orchestration system: a language mode Verified P90 latency of 280ms.