Qwen: Qwen2.5 VL 72B Instruct vs Google: Nano Banana 2.1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen2.5 VL 72B Instruct (qwen/qwen2.5-vl-72b-instruct) vs Google: Nano Banana 2.1 (google/gemini-nano-banana-2.1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen2.5 VL 72B Instruct (qwen/qwen2.5-vl-72b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen2.5 VL 72B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.4/1M) or route via asynchronous Batch API for 50% off standard token rates.
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.
In Etuki October 2026 FinOps telemetry comparing Qwen: Qwen2.5 VL 72B Instruct (API ID: qwen/qwen2.5-vl-72b-instruct) vs Google: Nano Banana 2.1 (API ID: google/gemini-nano-banana-2.1), Qwen: Qwen2.5 VL 72B Instruct offers lower standard input pricing at $0.8/1M tokens ($1/1M output), while Qwen: Qwen2.5 VL 72B Instruct leads in cached prefix economics at $0.4/1M tokens (50% discount). Qwen: Qwen2.5 VL 72B 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: Qwen2.5 VL 72B Instruct | Google: Nano Banana 2.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen2.5-vl-72b-instruct | google/gemini-nano-banana-2.1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.8 / $1 | $1.5 / $7.5 | Qwen: Qwen2.5 VL 72B Instruct |
| Cache Read Price (per 1M) | $0.4/1M (50% Off) | $0.75/1M (50% Off) | Qwen: Qwen2.5 VL 72B Instruct |
| Context Window / Max Output | 125K In / 113K Out | 64K In / 58K Out | Qwen: Qwen2.5 VL 72B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen2.5 VL 72B Instruct (-0ms) |
Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts
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
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: Qwen2.5 VL 72B Instruct to Google: Nano Banana 2.1
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 Verified P90 latency of 280ms.