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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 Sol ProOpenAIRemove
  3. Claude Sonnet 5.5AnthropicRemove
  4. Claude Opus 5.5AnthropicRemove

4 is the maximum. Remove one to add another.

s1 vs gpt-6-sol-pro vs claude-sonnet-5.5 vs claude-opus-5.5
AttributeS1s1GPT-6 Sol Progpt-6-sol-proClaude Sonnet 5.5claude-sonnet-5.5Claude Opus 5.5claude-opus-5.5
Pricing
Input$0 / 1M$2.00 / 1M$2.00 / 1M$4.00 / 1M
Output$0 / 1M$10.00 / 1M$10.00 / 1M$20.00 / 1M
Cache Write (5m)Not applicable$2.00 / 1M$2.50 / 1M$5.00 / 1M
Cache Write (1h)Not applicable$2.00 / 1M$4.00 / 1M$8.00 / 1M
Cache ReadNot applicable$2.00 / 1M$0.20 / 1M$0.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1.1M1M1M
Max outputN/AN/AN/AN/A
Capabilities
VisionNoYesYesYes
Function CallingNoYesYesYes
JSON ModeNoYesYesYes
StreamingNoYesYesYes
Catalogue
ProviderFish AudioOpenAIAnthropicAnthropic
Categoryvoicechatchatchat
Charge typePay As You GoPay As You GoPay As You GoPay As You Go
Released2026-07-29———
Description
SummaryFish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.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.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.Claude Opus 5.5 is Anthropic's flagship model for advanced reasoning, coding, and long-horizon agentic workflows, succeeding Opus 5. It excels at multi-step changes across large codebases, code review and bug detection, financial and scientific analysis, and understanding dense charts, diagrams, and screenshots, with stronger grounding when reporting figures and citing sources. Compared with Opus 5, it completes comparable tasks with fewer steps and lower token usage while providing clearer, more concise progress reporting. With adaptive thinking and configurable effort levels, Opus 5.5 can balance reasoning depth, latency, and cost, making it well suited for both demanding autonomous workflows and latency-sensitive professional tasks.