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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. Muse Spark 1.3MetaRemove
  2. Nemotron 3.5 LightningNVIDIARemove
muse-spark-1.3 vs nemotron-3.5-lightning
AttributeMuse Spark 1.3muse-spark-1.3Nemotron 3.5 Lightningnemotron-3.5-lightning
Pricing
Input$1.25 / 1M$0 / 1M
Output$4.25 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1M$0.00 / 1M
Cache Write (1h)$1.25 / 1M$0.00 / 1M
Cache Read$1.25 / 1M$0.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1M
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMetaNVIDIA
Categorychatchat
Charge typePay As You GoPay As You Go
Released——
Description
SummaryMuse 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.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.