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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. GPT-6 Astra ProOpenAIRemove
  2. Gemini 2.5 Flash Image (Nano Banana)GoogleRemove
  3. Claude Fable 5.1AnthropicRemove
gpt-6-astra-pro vs gemini-2.5-flash-image vs claude-fable-5.1
AttributeGPT-6 Astra Progpt-6-astra-proGemini 2.5 Flash Image (Nano Banana)gemini-2.5-flash-imageClaude Fable 5.1claude-fable-5.1
Pricing
Input$10.00 / 1M$10.00 / 1M
Output$50.00 / 1M$50.00 / 1M
Cache Write (5m)$10.00 / 1MNot applicable$12.50 / 1M
Cache Write (1h)$10.00 / 1MNot applicable$20.00 / 1M
Cache Read$10.00 / 1MNot applicable$1.00 / 1M
Web Search$0 / 1M$0 / 1M
Request$0.075 / request
BillingPay Per Request
Context
Max context1MN/A1M
Max outputN/AN/AN/A
Capabilities
VisionYesYesYes
Function CallingYesNoYes
JSON ModeYesNoYes
StreamingYesYesYes
Catalogue
ProviderOpenAIGoogleAnthropic
Categorychatimagechat
Charge typePay As You GoPay Per RequestPay 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.Gemini 2.5 Flash Image (“Nano Banana”) is now generally available. It’s a state-of-the-art image generation model with strong contextual understanding, supporting image creation, editing, and multi-turn conversational workflows around visuals.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.