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.

S1Fish Audio Remove
Gemini 3.5 TranscribeGoogle Remove
Claude Sonnet 5.5Anthropic Remove
GPT-6 AstraOpenAI Remove

4 is the maximum. Remove one to add another.

s1 vs gemini-3.5-transcribe vs claude-sonnet-5.5 vs gpt-6-astra
Attribute	S1s1	Gemini 3.5 Transcribegemini-3.5-transcribe	Claude Sonnet 5.5claude-sonnet-5.5	GPT-6 Astragpt-6-astra
Pricing
Input	$0 / 1M	$0 / 1M	$2.00 / 1M	$10.00 / 1M
Output	$0 / 1M	$0 / 1M	$10.00 / 1M	$50.00 / 1M
Cache Write (5m)	Not applicable	Not applicable	$2.50 / 1M	$10.00 / 1M
Cache Write (1h)	Not applicable	Not applicable	$4.00 / 1M	$10.00 / 1M
Cache Read	Not applicable	Not applicable	$0.20 / 1M	$10.00 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	98.3K	1M	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	Yes
Function Calling	No	Yes	Yes	Yes
JSON Mode	No	No	Yes	Yes
Streaming	No	No	Yes	Yes
Catalogue
Provider	Fish Audio	Google	Anthropic	OpenAI
Category	voice	voice	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-07-29	2026-09-25	—	—
Description
Summary	Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	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.	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.