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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.

Gemini 3.1 Flash Lite Image (Google AI Studio)GoogleEnterprise & partner access Remove
Nemotron 3.5 LightningNVIDIA Remove
Perceptron Mk1.5Perceptron Remove

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gemini-3.1-flash-lite-image-aistudio vs nemotron-3.5-lightning vs perceptron-mk1.5
Attribute	Gemini 3.1 Flash Lite Image (Google AI Studio)gemini-3.1-flash-lite-image-aistudio	Nemotron 3.5 Lightningnemotron-3.5-lightning	Perceptron Mk1.5perceptron-mk1.5
Pricing
Request	$0.0336 / request	—	—
Billing	Pay Per Request	—	—
Cache Write (5m)	Not applicable	$0.00 / 1M	$0.15 / 1M
Cache Write (1h)	Not applicable	$0.00 / 1M	$0.15 / 1M
Cache Read	Not applicable	$0.00 / 1M	$0.15 / 1M
Input	—	— Not priced per input token	$0.15 / 1M
Output	—	— Not priced per output token	$1.50 / 1M
Web Search	—	$0 / 1M	$0 / 1M
Context
Max context	N/A	1M	36.9K
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No
Function Calling	No	Yes	No
JSON Mode	No	Yes	No
Streaming	No	Yes	Yes
Catalogue
Provider	Google	NVIDIA	Perceptron
Category	image	chat	chat
Charge type	Pay Per Request	Pay As You Go	Pay As You Go
Released	—	—	2026-09-25
Description
Summary	Gemini 3.1 Flash Lite Image served from Google AI Studio. 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 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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.