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Compare models

Put up to 4 models beside each other — token prices, context windows, capabilities and provider, from the same catalogue the model pages read.

  1. GPT-6 Astra ProOpenAIRemove
  2. Nemotron 3.5 Lightning (Free)NVIDIARemove
  3. GPT-6 SolOpenAIRemove
gpt-6-astra-pro vs nemotron-3.5-lightning:free vs gpt-6-sol
AttributeGPT-6 Astra Progpt-6-astra-proNemotron 3.5 Lightning (Free)nemotron-3.5-lightning:freeGPT-6 Solgpt-6-sol
Pricing
Input$10.00 / 1M$0 / 1M$2.00 / 1M
Output$50.00 / 1M$0 / 1M$10.00 / 1M
Cache Write (5m)$10.00 / 1M—$2.00 / 1M
Cache Write (1h)$10.00 / 1M—$2.00 / 1M
Cache Read$10.00 / 1M$0 / 1M$2.00 / 1M
Web Search$0 / 1M—$0 / 1M
Cache Write—$0 / 1M—
Context
Max context1M1M1.1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderOpenAINVIDIAOpenAI
Categorychatchatchat
Charge typePay As You GoFreePay As You Go
Released———
Description
SummaryGPT-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 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 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications