Google: Nano Banana (Gemini 2.5 Flash Image) vs Sakana: Sakana Namazu: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Nano Banana (Gemini 2.5 Flash Image) (google/gemini-2.5-flash-image) vs Sakana: Sakana Namazu (sakana/sakana-namazu). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Nano Banana (Gemini 2.5 Flash Image) (google/gemini-2.5-flash-image) — Google AI Startup Credits ($350K) & 50% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
Sakana: Sakana Namazu (sakana/sakana-namazu) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Sakana: Sakana Namazu: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.475/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Google: Nano Banana (Gemini 2.5 Flash Image) (API ID: google/gemini-2.5-flash-image) vs Sakana: Sakana Namazu (API ID: sakana/sakana-namazu), Google: Nano Banana (Gemini 2.5 Flash Image) offers lower standard input pricing at $0.3/1M tokens ($2.5/1M output), while Google: Nano Banana (Gemini 2.5 Flash Image) leads in cached prefix economics at $0.15/1M tokens (50% discount). Google: Nano Banana (Gemini 2.5 Flash Image) 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 | Google: Nano Banana (Gemini 2.5 Flash Image) | Sakana: Sakana Namazu | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-2.5-flash-image | sakana/sakana-namazu | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.3 / $2.5 | $0.95 / $4 | Google: Nano Banana (Gemini 2.5 Flash Image) |
| Cache Read Price (per 1M) | $0.15/1M (50% Off) | $0.475/1M (50% Off) | Google: Nano Banana (Gemini 2.5 Flash Image) |
| Context Window / Max Output | 32K In / 8K Out | 256K In / 64K Out | Sakana: Sakana Namazu |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Nano Banana (Gemini 2.5 Flash Image) (-0ms) |
Gemini 2.5 Flash Image, a.k.a. "Nano Banana," is now generally available. It is a state of the art image generation model with contextual understanding. It is capable of image gene
Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Ja
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 Google: Nano Banana (Gemini 2.5 Flash Image) to Sakana: Sakana Namazu
Sakana Namazu is a Japanese-specialized reasoning model from Sakana AI, based on Kimi K2.6 with additional training for Japanese language and business contexts. It is suited for Ja Verified P90 latency of 280ms.