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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. GPT-6 Astra ProOpenAIRemove
  3. Nemotron Nano 9B V2 (Free)NVIDIARemove
muse-spark-1.3 vs gpt-6-astra-pro vs nemotron-nano-9b-v2
AttributeMuse Spark 1.3muse-spark-1.3GPT-6 Astra Progpt-6-astra-proNemotron Nano 9B V2 (Free)nemotron-nano-9b-v2
Pricing
Input$1.25 / 1M$10.00 / 1M$0 / 1M
Output$4.25 / 1M$50.00 / 1M$0 / 1M
Cache Write (5m)$1.25 / 1M$10.00 / 1M
Cache Write (1h)$1.25 / 1M$10.00 / 1M
Cache Read$1.25 / 1M$10.00 / 1M$0 / 1M
Web Search$0 / 1M$0 / 1M
Cache Write$0 / 1M
Context
Max context1M1M131.1K
Max outputN/AN/AN/A
Capabilities
VisionYesYesNo
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderMetaOpenAINVIDIA
Categorychatchatchat
Charge typePay As You GoPay As You GoFree
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.GPT-6 Astra Pro uses the same underlying model as GPT-6 Astra, but runs with reasoning.mode set to pro for higher-quality responses on complex tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is well suited for demanding coding, analysis, and agentic workflows where solution quality takes priority over speed and cost.NVIDIA 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.