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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 Lightning (Free)NVIDIARemove
  2. GPT-6.1 TerraOpenAIRemove
  3. Muse Spark OpenMetaRemove
nemotron-3.5-lightning:free vs gpt-6.1-terra vs muse-spark-open
AttributeNemotron 3.5 Lightning (Free)nemotron-3.5-lightning:freeGPT-6.1 Terragpt-6.1-terraMuse Spark Openmuse-spark-open
Pricing
Input$0 / 1M$1.00 / 1M$1.25 / 1M
Output$0 / 1M$5.00 / 1M$4.25 / 1M
Cache Write$0 / 1M——
Cache Read$0 / 1M$1.00 / 1M$1.25 / 1M
Cache Write (5m)—$1.00 / 1M$1.25 / 1M
Cache Write (1h)—$1.00 / 1M$1.25 / 1M
Web Search—$0 / 1M$0 / 1M
Context
Max context1M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesNoYes
Catalogue
ProviderNVIDIAOpenAIMeta
Categorychatchatchat
Charge typeFreePay 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.GPT-6.1 Terra is OpenAI’s mid-tier model in the GPT-6.1 series, designed to balance capability, speed, and cost efficiency. Positioned below GPT-6.1 Sol, it delivers strong performance across everyday agentic workflows, coding, and professional writing, with particular strengths in screenshot understanding and on-screen content analysis. Optimized for high-volume production workloads, GPT-6.1 Terra is well suited for coding assistants, visual interface analysis, workflow automation, and scalable agentic applications that require reliable performance at an accessible cost.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.