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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 Spark 1.3MetaRemove
nemotron-3.5-lightning vs muse-spark-1.3
AttributeNemotron 3.5 Lightningnemotron-3.5-lightningMuse Spark 1.3muse-spark-1.3
Pricing
Input$0 / 1M$1.25 / 1M
Output$0 / 1M$4.25 / 1M
Cache Write (5m)$0.00 / 1M$1.25 / 1M
Cache Write (1h)$0.00 / 1M$1.25 / 1M
Cache Read$0.00 / 1M$1.25 / 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 Spark 1.3 is Meta's multimodal reasoning model designed for long-running agentic, multi-agent, and coding workflows. It maintains context and information across extended tasks, enabling reliable execution in complex, multi-step environments. The model is optimized to resolve conflicting information, seek clarification or confirmation when necessary, and execute concisely, making it well suited for autonomous agents, collaborative multi-agent systems, and long-horizon software engineering workflows.