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.

Aura-2Deepgram Remove
Claude Sonnet 5.5Anthropic Remove
GPT-6 SolOpenAI Remove
Perceptron Mk1.5Perceptron Remove

4 is the maximum. Remove one to add another.

aura-2 vs claude-sonnet-5.5 vs gpt-6-sol vs perceptron-mk1.5
Attribute	Aura-2aura-2	Claude Sonnet 5.5claude-sonnet-5.5	GPT-6 Solgpt-6-sol	Perceptron Mk1.5perceptron-mk1.5
Pricing
Input	$0 / 1M	$2.00 / 1M	$2.00 / 1M	$0.15 / 1M
Output	$0 / 1M	$10.00 / 1M	$10.00 / 1M	$1.50 / 1M
Cache Write (5m)	Not applicable	$2.50 / 1M	$2.00 / 1M	$0.15 / 1M
Cache Write (1h)	Not applicable	$4.00 / 1M	$2.00 / 1M	$0.15 / 1M
Cache Read	Not applicable	$0.20 / 1M	$2.00 / 1M	$0.15 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	1M	1.1M	36.9K
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	No	Yes	Yes	No
Function Calling	No	Yes	Yes	No
JSON Mode	No	Yes	Yes	No
Streaming	No	Yes	Yes	Yes
Catalogue
Provider	Deepgram	Anthropic	OpenAI	Perceptron
Category	voice	chat	chat	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-07-16	—	—	2026-09-25
Description
Summary	Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.	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 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	Perceptron Mk1.5 chat model that accepts audio input. Audio and text input are billed per token.