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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 Sonnet 5.5AnthropicRemove
  2. S2.1 ProFish AudioRemove
  3. S1Fish AudioRemove
  4. GPT-6 SolOpenAIRemove

4 is the maximum. Remove one to add another.

claude-sonnet-5.5 vs s2.1-pro vs s1 vs gpt-6-sol
AttributeClaude Sonnet 5.5claude-sonnet-5.5S2.1 Pros2.1-proS1s1GPT-6 Solgpt-6-sol
Pricing
Input$2.00 / 1M$0 / 1M$0 / 1M$2.00 / 1M
Output$10.00 / 1M$0 / 1M$0 / 1M$10.00 / 1M
Cache Write (5m)$2.50 / 1MNot applicableNot applicable$2.00 / 1M
Cache Write (1h)$4.00 / 1MNot applicableNot applicable$2.00 / 1M
Cache Read$0.20 / 1MNot applicableNot applicable$2.00 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max context1MN/AN/A1.1M
Max outputN/AN/AN/AN/A
Capabilities
VisionYesNoNoYes
Function CallingYesNoNoYes
JSON ModeYesNoNoYes
StreamingYesNoNoYes
Catalogue
ProviderAnthropicFish AudioFish AudioOpenAI
Categorychatvoicevoicechat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released—2026-07-292026-07-29—
Description
SummaryClaude 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.Fish Audio S2.1 Pro text-to-speech. Billed per UTF-8 byte of input text.Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.GPT-6 Sol is OpenAI's cost-efficient high-end model in the GPT-6 series, positioned between the flagship GPT-6 Astra and the fast GPT-6 Luna tier. It is designed for professional knowledge work, agentic coding, business workflow automation, and computer-use tasks, with particular strength in long-horizon software engineering across real-world codebases. GPT-6 Sol approaches Astra-level factual reliability at a significantly lower cost, while sharing its clear and concise communication style. This balance of capability, reliability, and efficiency makes it well suited for production agents, complex engineering workflows, and scalable professional applications