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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
  3. Perceptron Mk1.5PerceptronRemove
nemotron-3.5-lightning:free vs gemini-3.1-flash-lite-image-vertex vs perceptron-mk1.5
AttributeNemotron 3.5 Lightning (Free)nemotron-3.5-lightning:freeGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertexPerceptron Mk1.5perceptron-mk1.5
Pricing
Input$0 / 1M—$0.15 / 1M
Output$0 / 1M—$1.50 / 1M
Cache Write$0 / 1M——
Cache Read$0 / 1MNot applicable$0.15 / 1M
Request—$0.0336 / request—
Billing—Pay Per Request—
Cache Write (5m)—Not applicable$0.15 / 1M
Cache Write (1h)—Not applicable$0.15 / 1M
Web Search——$0 / 1M
Context
Max context1MN/A36.9K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesNoNo
JSON ModeYesNoNo
StreamingYesNoYes
Catalogue
ProviderNVIDIAGooglePerceptron
Categorychatimagechat
Charge typeFreePay Per RequestPay As You Go
Released——2026-09-25
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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.