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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. Claude Fable 5.1AnthropicRemove
  3. GPT-6 Astra ProOpenAIRemove
nemotron-3.5-lightning:free vs claude-fable-5.1 vs gpt-6-astra-pro
AttributeNemotron 3.5 Lightning (Free)nemotron-3.5-lightning:freeClaude Fable 5.1claude-fable-5.1GPT-6 Astra Progpt-6-astra-pro
Pricing
Input$0 / 1M$10.00 / 1M$10.00 / 1M
Output$0 / 1M$50.00 / 1M$50.00 / 1M
Cache Write$0 / 1M
Cache Read$0 / 1M$1.00 / 1M$10.00 / 1M
Cache Write (5m)$12.50 / 1M$10.00 / 1M
Cache Write (1h)$20.00 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M
Context
Max context1M1M1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderNVIDIAAnthropicOpenAI
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.Claude Fable 5.1 is an upgraded version of Fable 5, delivering broad improvements with particularly strong gains in agentic coding, long-running workflows, and professional knowledge work. It excels at large code refactors, front-end and visual code generation, financial analysis, and complex analytical tasks. Compared with Fable 5, it also produces more concise plans and summaries while maintaining strong performance across extended tasks, making it a natural upgrade for existing Fable workflows and a strong option alongside Opus 5 for reasoning-intensive applications.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.