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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 Super VLNVIDIARemove
  2. Veo 3GoogleRemove
  3. Muse Spark OpenMetaRemove
  4. Gemini 4 ArgonGoogleRemove

4 is the maximum. Remove one to add another.

nemotron-3.5-super-vl vs veo3 vs muse-spark-open vs gemini-4-argon
AttributeNemotron 3.5 Super VLnemotron-3.5-super-vlVeo 3veo3Muse Spark Openmuse-spark-openGemini 4 Argongemini-4-argon
Pricing
Input$0.10 / 1M—$1.25 / 1M$2.00 / 1M
Output$0.40 / 1M—$4.25 / 1M$10.00 / 1M
Cache Write (5m)$0.10 / 1MNot applicable$1.25 / 1M$2.00 / 1M
Cache Write (1h)$0.10 / 1MNot applicable$1.25 / 1M$2.00 / 1M
Cache Read$0.10 / 1MNot applicable$1.25 / 1M$2.00 / 1M
Web Search$0 / 1M—$0 / 1M$0 / 1M
Request—$1.26 / request——
Billing—Pay Per Request——
Context
Max context1MN/A1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderNVIDIAGoogleMetaGoogle
Categorychatvideochatchat
Charge typePay As You GoPay Per RequestPay As You GoPay As You Go
Released————
Description
SummaryNVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications.—Muse Spark Open is an open-weight, coding-optimized model designed for agentic software engineering workflows. It delivers strong first-attempt accuracy, reliable tool calling, and deep codebase understanding, enabling effective development across real-world repositories. Optimized for autonomous coding agents, complex code navigation, and tool-driven development, Muse Spark Open is well suited for software engineering automation, debugging, code generation, and multi-step coding workflows where accuracy and reliable execution are essential.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.