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.

Claude Sonnet 5.5Anthropic Remove
Perceptron Mk1.5Perceptron Remove
Gemini 3.5 TranscribeGoogle Remove
GPT-6.1 SolOpenAI Remove

4 is the maximum. Remove one to add another.

claude-sonnet-5.5 vs perceptron-mk1.5 vs gemini-3.5-transcribe vs gpt-6.1-sol
Attribute	Claude Sonnet 5.5claude-sonnet-5.5	Perceptron Mk1.5perceptron-mk1.5	Gemini 3.5 Transcribegemini-3.5-transcribe	GPT-6.1 Solgpt-6.1-sol
Pricing
Input	$2.00 / 1M	$0.15 / 1M	$0 / 1M	$2.00 / 1M
Output	$10.00 / 1M	$1.50 / 1M	$0 / 1M	$10.00 / 1M
Cache Write (5m)	$2.50 / 1M	$0.15 / 1M	Not applicable	$2.00 / 1M
Cache Write (1h)	$4.00 / 1M	$0.15 / 1M	Not applicable	$2.00 / 1M
Cache Read	$0.20 / 1M	$0.15 / 1M	Not applicable	$2.00 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	36.9K	98.3K	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes	Yes
Function Calling	Yes	No	Yes	Yes
JSON Mode	Yes	No	No	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	Anthropic	Perceptron	Google	OpenAI
Category	chat	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	2026-09-25	—
Description
Summary	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.	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.	Google Gemini 3.5 Transcribe speech-to-text. Billed per input and output token.	GPT-6.1 Sol is an upgraded high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra. It is optimized for agentic coding, computer use, document-heavy professional work, and multi-step business automation, delivering near-Astra-level capability at significantly lower cost. Compared with GPT-6 Sol, it offers improved factual reliability and stronger adherence to explicit constraints and user intent, making it well suited for complex, long-running agentic workflows where accurate and dependable execution is critical.