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Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. Nemotron 3.5 Lightning (Free)NVIDIARemove
  2. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
nemotron-3.5-lightning:free vs gemini-3.1-flash-lite-image-vertex
AttributeNemotron 3.5 Lightning (Free)nemotron-3.5-lightning:freeGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertex
Pricing
Input$0 / 1M—
Output$0 / 1M—
Cache Write$0 / 1M—
Cache Read$0 / 1MNot applicable
Request—$0.0336 / request
Billing—Pay Per Request
Cache Write (5m)—Not applicable
Cache Write (1h)—Not applicable
Context
Max context1MN/A
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesNo
JSON ModeYesNo
StreamingYesNo
Catalogue
ProviderNVIDIAGoogle
Categorychatimage
Charge typeFreePay Per Request
Released——
Description
SummaryNVIDIA Nemotron 3.5 Lightning is an open Mixture-of-Experts (MoE) model with 30B total parameters and 3B active per token, optimized for high-throughput agentic workloads and efficient inference. Its lightweight active compute and open design make it well suited for specialized agents, domain-specific customization, and scalable production deployments where speed, cost efficiency, and adaptability are key.Gemini 3.1 Flash Lite Image served from Google Vertex AI. Billed per image at US$0.0336. Call it through /v1/chat/completions with stream set to false; the image is returned in the message content as a base64 data URI. Maximum output resolution is 1K. A request for a larger size returns a 1K image with the same aspect ratio at the same price. When a size is reduced, the response carries an X-Image-Resolution-Capped header with the requested and delivered size.