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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 Nano 9B V2 (Free)NVIDIARemove
  2. Gemini 3.1 Flash Lite Image (Google Vertex AI)GoogleRemove
nemotron-nano-9b-v2 vs gemini-3.1-flash-lite-image-vertex
AttributeNemotron Nano 9B V2 (Free)nemotron-nano-9b-v2Gemini 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 context131.1KN/A
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingYesNo
JSON ModeYesNo
StreamingYesNo
Catalogue
ProviderNVIDIAGoogle
Categorychatimage
Charge typeFreePay Per Request
Released——
Description
SummaryNVIDIA Nemotron Nano 9B v2 is a 9B-parameter language model trained from scratch by NVIDIA, designed to handle both reasoning and non-reasoning tasks. It can generate an internal reasoning trace before producing a final answer, and this behavior is configurable via system prompts—allowing developers to enable or suppress visible reasoning as needed.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.