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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. Muse WonderMetaRemove
nemotron-3.5-lightning vs muse-wonder
AttributeNemotron 3.5 Lightningnemotron-3.5-lightningMuse Wondermuse-wonder
Pricing
Input— Not priced per input token$4.00 / 1M
Output— Not priced per output token$20.00 / 1M
Cache Write (5m)$0.00 / 1M$4.00 / 1M
Cache Write (1h)$0.00 / 1M$4.00 / 1M
Cache Read$0.00 / 1M$4.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderNVIDIAMeta
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.Muse Wonder is Meta’s frontier multimodal reasoning model, designed for complex personal and professional agentic workflows. It supports text, image, video, audio, and PDF inputs with text output and features a 1M-token context window for sustained reasoning across long-running tasks. Optimized for autonomous execution and multi-agent orchestration, Muse Wonder can plan, delegate to subagents, coordinate parallel tool use, recover from errors, and operate browsers and applications across desktop and mobile environments. With cross-conversation context retrieval and its Active Focus training approach, it is well suited for complex software engineering, multi-file refactoring, computer use, and end-to-end workflows requiring persistence, adaptability, and minimal supervision.