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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 AstraOpenAIRemove
  2. S1Fish AudioRemove
  3. Claude Sonnet 5.5AnthropicRemove
  4. GPT-6 Sol ProOpenAIRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs s1 vs claude-sonnet-5.5 vs gpt-6-sol-pro
AttributeGPT-6 Astragpt-6-astraS1s1Claude Sonnet 5.5claude-sonnet-5.5GPT-6 Sol Progpt-6-sol-pro
Pricing
Input$10.00 / 1M$0 / 1M$2.00 / 1M$2.00 / 1M
Output$50.00 / 1M$0 / 1M$10.00 / 1M$10.00 / 1M
Cache Write (5m)$10.00 / 1MNot applicable$2.50 / 1M$2.00 / 1M
Cache Write (1h)$10.00 / 1MNot applicable$4.00 / 1M$2.00 / 1M
Cache Read$10.00 / 1MNot applicable$0.20 / 1M$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1M1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesYes
StreamingYesNoYesYes
Catalogue
ProviderOpenAIFish AudioAnthropicOpenAI
Categorychatvoicechatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-29——
Description
SummaryGPT-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.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, serving as a direct upgrade to Sonnet 5. It excels at feature development, bug fixing, and creating polished documents, presentations, and spreadsheets, while offering clearer writing and communication than its predecessor.GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.