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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. Claude Fable 5.1AnthropicRemove
  2. Llama 3.2 1b InstructMetaRemove
  3. GPT-6 Astra ProOpenAIRemove
claude-fable-5.1 vs llama-3.2-1b-instruct vs gpt-6-astra-pro
AttributeClaude Fable 5.1claude-fable-5.1Llama 3.2 1b Instructllama-3.2-1b-instructGPT-6 Astra Progpt-6-astra-pro
Pricing
Input$10.00 / 1M$0.0025 / 1M$10.00 / 1M
Output$50.00 / 1M$0.005 / 1M$50.00 / 1M
Cache Write (5m)$12.50 / 1M$0.0025 / 1M$10.00 / 1M
Cache Write (1h)$20.00 / 1M$0.0025 / 1M$10.00 / 1M
Cache Read$1.00 / 1M$0.0025 / 1M$10.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesNoYes
Function CallingYesYesYes
JSON ModeYesYesYes
StreamingYesYesYes
Catalogue
ProviderAnthropicMetaOpenAI
Categorychatchatchat
Charge typePay As You GoPay As You GoPay 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.Llama 3.2 1B is a lightweight 1-billion-parameter model built for efficient NLP tasks like summarization, conversation, and multilingual analysis. It runs well in low-resource environments, supports eight core languages (and can be fine-tuned for more), making it a good fit for developers who need capable, multilingual AI without heavy compute costs.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.