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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 OpenMetaRemove
  2. Nemotron 3.5 Content Safety (Free)NVIDIARemove
muse-spark-open vs nemotron-3.5-content-safety:free
AttributeMuse Spark Openmuse-spark-openNemotron 3.5 Content Safety (Free)nemotron-3.5-content-safety:free
Pricing
Input$1.25 / 1M$0 / 1M
Output$4.25 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1M—
Cache Write (1h)$1.25 / 1M—
Cache Read$1.25 / 1M$0 / 1M
Web Search$0 / 1M—
Cache Write—$0 / 1M
Context
Max context1M128K
Max outputN/AN/A
Capabilities
VisionYesYes
Function CallingYesYes
JSON ModeYesYes
StreamingYesYes
Catalogue
ProviderMetaNVIDIA
Categorychatchat
Charge typePay As You GoFree
Released——
Description
SummaryMuse 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.NVIDIA Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model from NVIDIA, designed for content moderation, safety classification, and AI policy enforcement. Supporting text and image inputs with text output, it evaluates both user prompts and model responses, providing safe/unsafe classifications, safety category labels, and optional reasoning traces. Fine-tuned from Gemma-3-4B and supporting 12 languages with a 128K-token context window, the model is well suited for prompt moderation, response filtering, content classification, and enterprise safety pipelines. As part of the NVIDIA Nemotron family, it offers a configurable reasoning mode and integrates easily into agentic AI systems requiring robust guardrails and compliance controls.