Skip to content

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. Claude Fable 5.1AnthropicRemove
  2. Nemotron Nano 9B V2 (Free)NVIDIARemove
  3. GPT-6 AstraOpenAIRemove
claude-fable-5.1 vs nemotron-nano-9b-v2 vs gpt-6-astra
AttributeClaude Fable 5.1claude-fable-5.1Nemotron Nano 9B V2 (Free)nemotron-nano-9b-v2GPT-6 Astragpt-6-astra
Pricing
Input$10.00 / 1M$0 / 1M$10.00 / 1M
Output$50.00 / 1M$0 / 1M$50.00 / 1M
Cache Write (5m)$12.50 / 1M$10.00 / 1M
Cache Write (1h)$20.00 / 1M$10.00 / 1M
Cache Read$1.00 / 1M$0 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M
Cache Write$0 / 1M
Context
Max context1M131.1K1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAnthropicNVIDIAOpenAI
Categorychatchatchat
Charge typePay As You GoFreePay As You Go
Released
Description
SummaryClaude 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.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.GPT-6 Astra is OpenAI's flagship model for demanding end-to-end professional work, designed for advanced analysis, software engineering, deep research, scientific tasks, and document creation. It is particularly strong in long-horizon agentic workflows, including tasks that require sustained reasoning, tool orchestration, and computer and browser use, making it well suited for complex autonomous workflows and production-grade knowledge work.