Sakana: Fugu Max vs OpenAI GPT-6 Astra: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Sakana: Fugu Max (sakana/fugu-max) vs OpenAI GPT-6 Astra (gpt-6-astra). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
OpenAI GPT-6 Astra (gpt-6-astra) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing Sakana: Fugu Max (API ID: sakana/fugu-max) vs OpenAI GPT-6 Astra (API ID: gpt-6-astra), 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). Sakana: Fugu Max achieves a 140ms faster P90 time-to-first-token latency (280ms vs 420ms).
Auto-discovered via live global telemetry registry.
Billed at $10/$50 (<272K) and jumps to $20/$75 (>272K). Reserve strictly for hard computer-use orchestration.
| Specification / FinOps Dimension | Sakana: Fugu Max | OpenAI GPT-6 Astra | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | sakana/fugu-max | gpt-6-astra | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $6 | $10 / $50 | Sakana: Fugu Max |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $2.5/1M (75% Off) | Sakana: Fugu Max |
| Context Window / Max Output | 977K In / 125K Out | 1000K In / 128K Out | OpenAI GPT-6 Astra |
| P90 First-Token / Edge Latency | 280ms | 420ms | Sakana: Fugu Max (-140ms) |
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
OpenAI most powerful computer-use and autonomous multi-agent flagship model built for zero-failure enterprise tasks.
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: Fugu Max to OpenAI GPT-6 Astra
OpenAI most powerful computer-use and autonomous multi-agent flagship model built for zero-failure enterprise tasks. Verified P90 latency of 420ms.