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.

Gemini 3.5 TranscribeGoogle Remove
GPT-6 SolOpenAI Remove
S1Fish Audio Remove
Claude Opus 5.5Anthropic Remove

4 is the maximum. Remove one to add another.

gemini-3.5-transcribe vs gpt-6-sol vs s1 vs claude-opus-5.5
Attribute	Gemini 3.5 Transcribegemini-3.5-transcribe	GPT-6 Solgpt-6-sol	S1s1	Claude Opus 5.5claude-opus-5.5
Pricing
Input	$0 / 1M	$2.00 / 1M	$0 / 1M	$4.00 / 1M
Output	$0 / 1M	$10.00 / 1M	$0 / 1M	$20.00 / 1M
Cache Write (5m)	Not applicable	$2.00 / 1M	Not applicable	$5.00 / 1M
Cache Write (1h)	Not applicable	$2.00 / 1M	Not applicable	$8.00 / 1M
Cache Read	Not applicable	$2.00 / 1M	Not applicable	$0.40 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	98.3K	1.1M	N/A	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No	Yes
Function Calling	Yes	Yes	No	Yes
JSON Mode	No	Yes	No	Yes
Streaming	No	Yes	No	Yes
Catalogue
Provider	Google	OpenAI	Fish Audio	Anthropic
Category	voice	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-25	—	2026-07-29	—
Description
Summary	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	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	Fish Audio S1 text-to-speech. Billed per UTF-8 byte of input text.	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.