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.

MAI-Transcribe 2Microsoft Remove
Claude Sonnet 5.5Anthropic Remove
GPT-6 LunaOpenAI Remove
Aura-2Deepgram Remove

4 is the maximum. Remove one to add another.

mai-transcribe-2 vs claude-sonnet-5.5 vs gpt-6-luna vs aura-2
Attribute	MAI-Transcribe 2mai-transcribe-2	Claude Sonnet 5.5claude-sonnet-5.5	GPT-6 Lunagpt-6-luna	Aura-2aura-2
Pricing
Input	$0 / 1M	$2.00 / 1M	$0.10 / 1M	$0 / 1M
Output	$0 / 1M	$10.00 / 1M	$0.50 / 1M	$0 / 1M
Cache Write (5m)	Not applicable	$2.50 / 1M	$0.10 / 1M	Not applicable
Cache Write (1h)	Not applicable	$4.00 / 1M	$0.10 / 1M	Not applicable
Cache Read	Not applicable	$0.20 / 1M	$0.10 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	N/A	1M	1.1M	N/A
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	No
Catalogue
Provider	Microsoft	Anthropic	OpenAI	Deepgram
Category	voice	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go	Pay As You Go
Released	2026-09-03	—	—	2026-07-16
Description
Summary	Microsoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.	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 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, optimized for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic tasks. It combines low-cost, responsive inference with the GPT-6 family’s improvements in factual reliability and clear, concise communication. At higher reasoning effort, GPT-6 Luna can also handle complex software engineering and computer-use workflows that previously required a Sol-tier model, making it a versatile choice for scalable production applications that need to balance speed, cost, and capability.	Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.