Sakana: Fugu Max vs MoonshotAI: Kimi K2 Thinking: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Sakana: Fugu Max (sakana/fugu-max) vs MoonshotAI: Kimi K2 Thinking (moonshotai/kimi-k2-thinking). 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.
MoonshotAI: Kimi K2 Thinking (moonshotai/kimi-k2-thinking) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MoonshotAI: Kimi K2 Thinking: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.3/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Sakana: Fugu Max (API ID: sakana/fugu-max) vs MoonshotAI: Kimi K2 Thinking (API ID: moonshotai/kimi-k2-thinking), MoonshotAI: Kimi K2 Thinking offers lower standard input pricing at $0.6/1M tokens ($2.5/1M output), while MoonshotAI: Kimi K2 Thinking leads in cached prefix economics at $0.3/1M tokens (50% discount). Sakana: Fugu Max 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: Fugu Max | MoonshotAI: Kimi K2 Thinking | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | sakana/fugu-max | moonshotai/kimi-k2-thinking | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $6 | $0.6 / $2.5 | MoonshotAI: Kimi K2 Thinking |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $0.3/1M (50% Off) | MoonshotAI: Kimi K2 Thinking |
| Context Window / Max Output | 977K In / 125K Out | 256K In / 96K Out | Sakana: Fugu Max |
| P90 First-Token / Edge Latency | 280ms | 280ms | Sakana: Fugu Max (-0ms) |
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
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-
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 MoonshotAI: Kimi K2 Thinking
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture- Verified P90 latency of 280ms.