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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 3.5 LightningNVIDIARemove
  2. Gemini 3.7 FlashGoogleRemove
nemotron-3.5-lightning vs gemini-3.7-flash
AttributeNemotron 3.5 Lightningnemotron-3.5-lightningGemini 3.7 Flashgemini-3.7-flash
Pricing
Input$0 / 1M$0.375 / 1M
Output$0 / 1M$1.88 / 1M
Cache Write (5m)$0.00 / 1M$0.375 / 1M
Cache Write (1h)$0.00 / 1M$0.375 / 1M
Cache Read$0.00 / 1M$0.375 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderNVIDIAGoogle
Categorychatchat
Charge typePay As You GoPay As You Go
Released
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.Gemini 3.7 Flash is Google's fast multimodal model designed for agentic workflows, coding, and complex multi-step reasoning. It combines responsive inference with reliable problem-solving capabilities, making it well suited for interactive and production-scale applications. Optimized for speed and dependable multi-step execution, Gemini 3.7 Flash is a strong choice for coding assistants, autonomous agents, and high-throughput workflows that require both low latency and capable reasoning.