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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 UltraNVIDIARemove
  2. Gemini 4 ArgonGoogleRemove
nemotron-3-ultra-550b-a55b vs gemini-4-argon
AttributeNemotron 3 Ultranemotron-3-ultra-550b-a55bGemini 4 Argongemini-4-argon
Pricing
Input$0.50 / 1M$2.00 / 1M
Output$2.50 / 1M$10.00 / 1M
Cache Write (5m)$0.50 / 1M$2.00 / 1M
Cache Write (1h)$0.50 / 1M$2.00 / 1M
Cache Read$0.50 / 1M$2.00 / 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 Ultra is an open frontier reasoning and orchestration model featuring a 550B-parameter Mixture-of-Experts (MoE) architecture with 55B active parameters per token. Built on a hybrid Transformer–Mamba design, it supports text input and output with a 1M-token context window, enabling large-scale reasoning and long-horizon task execution. Optimized for agent orchestration, coding agents, deep research, and complex enterprise workflows, the model excels at multi-step reasoning, planning, and sustained execution. With high-throughput inference designed for large-scale agent pipelines, Nemotron 3 Ultra serves as a powerful foundation for advanced agentic AI systems.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.