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
Nova-3Deepgram Remove
GPT-6 AstraOpenAI Remove

4 is the maximum. Remove one to add another.

claude-sonnet-5.5 vs perceptron-mk1.5 vs nova-3 vs gpt-6-astra
Attribute	Claude Sonnet 5.5claude-sonnet-5.5	Perceptron Mk1.5perceptron-mk1.5	Nova-3nova-3	GPT-6 Astragpt-6-astra
Pricing
Input	$2.00 / 1M	$0.15 / 1M	$0 / 1M	$10.00 / 1M
Output	$10.00 / 1M	$1.50 / 1M	$0 / 1M	$50.00 / 1M
Cache Write (5m)	$2.50 / 1M	$0.15 / 1M	Not applicable	$10.00 / 1M
Cache Write (1h)	$4.00 / 1M	$0.15 / 1M	Not applicable	$10.00 / 1M
Cache Read	$0.20 / 1M	$0.15 / 1M	Not applicable	$10.00 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	36.9K	N/A	1M
Max output	N/A	N/A	N/A	N/A
Capabilities
Vision	Yes	No	No	Yes
Function Calling	Yes	No	No	Yes
JSON Mode	Yes	No	No	Yes
Streaming	Yes	Yes	No	Yes
Catalogue
Provider	Anthropic	Perceptron	Deepgram	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	2026-07-15	—
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.	Deepgram Nova-3 speech-to-text. Billed per second of audio.	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.