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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. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
  2. Nemotron 3.5 Content Safety (Free)NVIDIARemove
gemini-3.1-flash-lite-image-vertex vs nemotron-3.5-content-safety:free
AttributeGemini 3.1 Flash Lite Image (Google Vertex AI)gemini-3.1-flash-lite-image-vertexNemotron 3.5 Content Safety (Free)nemotron-3.5-content-safety:free
Pricing
Request$0.0336 / request—
BillingPay Per Request—
Cache Write (5m)Not applicable—
Cache Write (1h)Not applicable—
Cache ReadNot applicable$0 / 1M
Input—$0 / 1M
Output—$0 / 1M
Cache Write—$0 / 1M
Context
Max contextN/A128K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingNoYes
JSON ModeNoYes
StreamingNoYes
Catalogue
ProviderGoogleNVIDIA
Categoryimagechat
Charge typePay Per RequestFree
Released——
Description
SummaryGemini 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.NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, designed for content moderation, safety classification, and AI policy enforcement. Supporting text and image inputs with text output, it evaluates both user prompts and model responses, providing safe/unsafe classifications, safety category labels, and optional reasoning traces. Fine-tuned from Gemma-3-4B and supporting 12 languages with a 128K-token context window, the model is well suited for prompt moderation, response filtering, content classification, and enterprise safety pipelines. As part of the NVIDIA Nemotron family, it offers a configurable reasoning mode and integrates easily into agentic AI systems requiring robust guardrails and compliance controls.