Skip to content

Compare models

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. Perceptron Mk1.5PerceptronRemove
  3. Gemini 4 ArgonGoogleRemove
nemotron-3.5-lightning:free vs perceptron-mk1.5 vs gemini-4-argon
AttributeNemotron 3.5 Lightning (Free)nemotron-3.5-lightning:freePerceptron Mk1.5perceptron-mk1.5Gemini 4 Argongemini-4-argon
Pricing
Input$0 / 1M$0.15 / 1M$2.00 / 1M
Output$0 / 1M$1.50 / 1M$10.00 / 1M
Cache Write$0 / 1M——
Cache Read$0 / 1M$0.15 / 1M$2.00 / 1M
Cache Write (5m)—$0.15 / 1M$2.00 / 1M
Cache Write (1h)—$0.15 / 1M$2.00 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context1M36.9K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderNVIDIAPerceptronGoogle
Categorychatchatchat
Charge typeFreePay As You GoPay 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.Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.