Google: Nano Banana 2.1 vs DeepSeek: DeepSeek V4 Pro 0423: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Nano Banana 2.1 (google/gemini-nano-banana-2.1) vs DeepSeek: DeepSeek V4 Pro 0423 (deepseek/deepseek-v4-pro). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Nano Banana 2.1 (google/gemini-nano-banana-2.1) — 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.
DeepSeek: DeepSeek V4 Pro 0423 (deepseek/deepseek-v4-pro) — Automatic Disk KV Cache ($0.2062/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
In Etuki October 2026 FinOps telemetry comparing Google: Nano Banana 2.1 (API ID: google/gemini-nano-banana-2.1) vs DeepSeek: DeepSeek V4 Pro 0423 (API ID: deepseek/deepseek-v4-pro), DeepSeek: DeepSeek V4 Pro 0423 offers lower standard input pricing at $0.4124/1M tokens ($0.8248/1M output), while DeepSeek: DeepSeek V4 Pro 0423 leads in cached prefix economics at $0.2062/1M tokens (50% discount). Google: Nano Banana 2.1 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 2.1 | DeepSeek: DeepSeek V4 Pro 0423 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-nano-banana-2.1 | deepseek/deepseek-v4-pro | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.5 / $7.5 | $0.4124 / $0.8248 | DeepSeek: DeepSeek V4 Pro 0423 |
| Cache Read Price (per 1M) | $0.75/1M (50% Off) | $0.2062/1M (50% Off) | DeepSeek: DeepSeek V4 Pro 0423 |
| Context Window / Max Output | 64K In / 58K Out | 1024K In / 375K Out | DeepSeek: DeepSeek V4 Pro 0423 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Nano Banana 2.1 (-0ms) |
Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product reconte
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designe
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 2.1 to DeepSeek: DeepSeek V4 Pro 0423
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designe Verified P90 latency of 280ms.