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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
MAI-Transcribe 2Microsoft Remove
Grok 4.7SpaceXAI Remove

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claude-sonnet-5.5 vs mai-transcribe-2 vs grok-4.7
Attribute	Claude Sonnet 5.5claude-sonnet-5.5	MAI-Transcribe 2mai-transcribe-2	Grok 4.7grok-4.7
Pricing
Input	$2.00 / 1M	$0 / 1M	$1.60 / 1M
Output	$10.00 / 1M	$0 / 1M	$4.80 / 1M
Cache Write (5m)	$2.50 / 1M	Not applicable	$1.60 / 1M
Cache Write (1h)	$4.00 / 1M	Not applicable	$1.60 / 1M
Cache Read	$0.20 / 1M	Not applicable	$1.60 / 1M
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	1M	N/A	500K
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	No	Yes
Function Calling	Yes	No	Yes
JSON Mode	Yes	No	Yes
Streaming	Yes	No	Yes
Catalogue
Provider	Anthropic	Microsoft	SpaceXAI
Category	chat	voice	chat
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	2026-09-03	—
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.	Microsoft MAI-Transcribe-2 speech-to-text. Billed per second of audio.	Grok 4.7 is SpaceXAI's flagship model for coding, agentic workflows, and professional knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering, self-verification, and long-context execution, while improving capabilities in document drafting, presentations, and other professional tasks. Trained with extended reinforcement learning focused on multi-hour problems, Grok 4.7 is optimized for sustained, complex task execution and natively supports the Grok Bot harness for conversational workflows. It also introduces an enhanced safeguard stack designed to combine strong jailbreak resistance with low refusal rates for legitimate technical work. Reported benchmark results use xhigh reasoning effort.