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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. S1Fish AudioRemove
  2. GPT-6 AstraOpenAIRemove
  3. Claude Sonnet 5.5AnthropicRemove
  4. Gemini 3.5 TranscribeGoogleRemove

4 is the maximum. Remove one to add another.

s1 vs gpt-6-astra vs claude-sonnet-5.5 vs gemini-3.5-transcribe
AttributeS1s1GPT-6 Astragpt-6-astraClaude Sonnet 5.5claude-sonnet-5.5Gemini 3.5 Transcribegemini-3.5-transcribe
Pricing
Input$0 / 1M$10.00 / 1M$2.00 / 1M$0 / 1M
Output$0 / 1M$50.00 / 1M$10.00 / 1M$0 / 1M
Cache Write (5m)Not applicable$10.00 / 1M$2.50 / 1MNot applicable
Cache Write (1h)Not applicable$10.00 / 1M$4.00 / 1MNot applicable
Cache ReadNot applicable$10.00 / 1M$0.20 / 1MNot applicable
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M98.3K
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesNo
StreamingNoYesYesNo
Catalogue
ProviderFish AudioOpenAIAnthropicGoogle
Categoryvoicechatchatvoice
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-29——2026-09-25
Description
SummaryFish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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.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.