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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. Gemini 4 ArgonGoogleRemove
  2. Nemotron 3.5 LightningNVIDIARemove
  3. Gemini 3.5 TranscribeGoogleRemove
gemini-4-argon vs nemotron-3.5-lightning vs gemini-3.5-transcribe
AttributeGemini 4 Argongemini-4-argonNemotron 3.5 Lightningnemotron-3.5-lightningGemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$2.00 / 1M— Not priced per input token— Not priced per input token
Output$10.00 / 1M— Not priced per output token— Not priced per output token
Cache Write (5m)$2.00 / 1M$0.00 / 1MNot applicable
Cache Write (1h)$2.00 / 1M$0.00 / 1MNot applicable
Cache Read$2.00 / 1M$0.00 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1M1M98.3K
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesNo
StreamingYesYesNo
Catalogue
ProviderGoogleNVIDIAGoogle
Categorychatchatvoice
Charge typePay As You GoPay As You GoPay As You Go
Released——2026-09-25
Description
SummaryGemini 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.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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.