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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.

Nemotron 3.5 LightningNVIDIA Remove
Gemini 3.1 Flash Lite Image (Google Vertex AI)Google Remove
Perceptron Mk1.5Perceptron Remove

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DeepSeek V4.1 Flash 1017
Nemotron 3.5 Super VL (Free)
Nemotron 3.5 Super VL
Muse Spark Open
Gemini 4 Argon
Muse Wonder
Gemini 3.1 Flash Lite Image (Google AI Studio)Enterprise & partner access
Gemini 3.1 Flash Image (Google Vertex AI)Enterprise & partner access

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