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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. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

gpt-6-astra vs s1 vs claude-sonnet-5.5 vs gemini-3.5-transcribe
AttributeGPT-6 Astragpt-6-astraS1s1Claude Sonnet 5.5claude-sonnet-5.5Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$10.00 / 1M$0 / 1M$2.00 / 1M$0 / 1M
Output$50.00 / 1M$0 / 1M$10.00 / 1M$0 / 1M
Cache Write (5m)$10.00 / 1MNot applicable$2.50 / 1MNot applicable
Cache Write (1h)$10.00 / 1MNot applicable$4.00 / 1MNot applicable
Cache Read$10.00 / 1MNot applicable$0.20 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/A1M98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoYesYes
Function CallingYesNoYesYes
JSON ModeYesNoYesNo
StreamingYesNoYesNo
Catalogue
ProviderOpenAIFish AudioAnthropicGoogle
Categorychatvoicechatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-29—2026-09-25
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.Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.