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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 Nano 9B V2 (Free)NVIDIARemove
  2. Muse Spark OpenMetaRemove
nemotron-nano-9b-v2 vs muse-spark-open
AttributeNemotron Nano 9B V2 (Free)nemotron-nano-9b-v2Muse Spark Openmuse-spark-open
Pricing
Input$0 / 1M$1.25 / 1M
Output$0 / 1M$4.25 / 1M
Cache Write$0 / 1M—
Cache Read$0 / 1M$1.25 / 1M
Cache Write (5m)—$1.25 / 1M
Cache Write (1h)—$1.25 / 1M
Web Search—$0 / 1M
Context
Max context131.1K1M
Max outputN/AN/A
Capabilities
VisionNoYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderNVIDIAMeta
Categorychatchat
Charge typeFreePay As You Go
Released——
Description
SummaryNVIDIA Nemotron Nano 9B v2 is a 9B-parameter language model trained from scratch by NVIDIA, designed to handle both reasoning and non-reasoning tasks. It can generate an internal reasoning trace before producing a final answer, and this behavior is configurable via system prompts—allowing developers to enable or suppress visible reasoning as needed.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.