Google Gemini 2.5 Flash Lite Batch vs NVIDIA: Nemotron 3.5 Super VL (free): Live Promos, Pricing, Hidden Fees & Latency
Google Gemini 2.5 Flash Lite Batch (google/gemini-2.5-flash-lite-batch) — Google AI Startup Credits ($350K) & 95% 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.
NVIDIA: Nemotron 3.5 Super VL (free) (nvidia/nemotron-3.5-super-vl:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for NVIDIA: Nemotron 3.5 Super VL (free): Activate ephemeral prefix caching to slash input costs by 50% (down to 0/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Google Gemini 2.5 Flash Lite Batch (API ID: google/gemini-2.5-flash-lite-batch) vs NVIDIA: Nemotron 3.5 Super VL (free) (API ID: nvidia/nemotron-3.5-super-vl:free), NVIDIA: Nemotron 3.5 Super VL (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while NVIDIA: Nemotron 3.5 Super VL (free) leads in cached prefix economics at $0/1M tokens (50% discount). Google Gemini 2.5 Flash Lite Batch achieves a 135ms faster P90 time-to-first-token latency (145ms vs 280ms).
Prompts exceeding 200K tokens incur 2x tier pricing unless pinned via Google AI Studio Context Caching (75% off).
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Google Gemini 2.5 Flash Lite Batch | NVIDIA: Nemotron 3.5 Super VL (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-2.5-flash-lite-batch | nvidia/nemotron-3.5-super-vl:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $5 | $0 / $0 | NVIDIA: Nemotron 3.5 Super VL (free) |
| Cache Read Price (per 1M) | $0.25/1M (95% Off) | $0/1M (50% Off) | NVIDIA: Nemotron 3.5 Super VL (free) |
| Context Window / Max Output | 1050K In / 128K Out | 977K In / 128K Out | Google Gemini 2.5 Flash Lite Batch |
| P90 First-Token / Edge Latency | 145ms | 280ms | Google Gemini 2.5 Flash Lite Batch (-135ms) |
Google Gemini 2.5 Flash Lite Batch is Google DeepMind's native multimodal frontier model supporting up to 2M context tokens and implicit context caching.
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screens
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 Gemini 2.5 Flash Lite Batch to NVIDIA: Nemotron 3.5 Super VL (free)
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screens Verified P90 latency of 280ms.