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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. Transcribe 1Fish AudioRemove
  2. Claude Sonnet 5.5AnthropicRemove
  3. Claude Opus 5.5AnthropicRemove
transcribe-1 vs claude-sonnet-5.5 vs claude-opus-5.5
AttributeTranscribe 1transcribe-1Claude Sonnet 5.5claude-sonnet-5.5Claude Opus 5.5claude-opus-5.5
Pricing
Input$0 / 1M$2.00 / 1M$4.00 / 1M
Output$0 / 1M$10.00 / 1M$20.00 / 1M
Cache Write (5m)Not applicable$2.50 / 1M$5.00 / 1M
Cache Write (1h)Not applicable$4.00 / 1M$8.00 / 1M
Cache ReadNot applicable$0.20 / 1M$0.40 / 1M
Web Search$0 / 1M$0 / 1M$0 / 1M
Context
Max contextN/A1M1M
Max outputN/AN/AN/A
Capabilities
VisionNoYesYes
Function CallingNoYesYes
JSON ModeNoYesYes
StreamingNoYesYes
Catalogue
ProviderFish AudioAnthropicAnthropic
Categoryvoicechatchat
Charge typePay As You GoPay As You GoPay As You Go
Released2026-07-29——
Description
SummaryFish Audio Transcribe 1 speech-to-text. Billed per second of audio.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.