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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.

Grok 4.7SpaceXAI Remove
GPT-6 Sol ProOpenAI Remove
Aura-2Deepgram Remove

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grok-4.7 vs gpt-6-sol-pro vs aura-2
Attribute	Grok 4.7grok-4.7	GPT-6 Sol Progpt-6-sol-pro	Aura-2aura-2
Pricing
Input	$1.60 / 1M	$2.00 / 1M	$0 / 1M
Output	$4.80 / 1M	$10.00 / 1M	$0 / 1M
Cache Write (5m)	$1.60 / 1M	$2.00 / 1M	Not applicable
Cache Write (1h)	$1.60 / 1M	$2.00 / 1M	Not applicable
Cache Read	$1.60 / 1M	$2.00 / 1M	Not applicable
Web Search	$0 / 1M	$0 / 1M	$0 / 1M
Context
Max context	500K	1.1M	N/A
Max output	N/A	N/A	N/A
Capabilities
Vision	Yes	Yes	No
Function Calling	Yes	Yes	No
JSON Mode	Yes	Yes	No
Streaming	Yes	Yes	No
Catalogue
Provider	SpaceXAI	OpenAI	Deepgram
Category	chat	chat	voice
Charge type	Pay As You Go	Pay As You Go	Pay As You Go
Released	—	—	2026-07-16
Description
Summary	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.	GPT-6 Sol Pro uses the same underlying model as GPT-6 Sol, but runs with reasoning.mode set to pro for higher-quality responses on complex and demanding tasks. Optimized for deeper reasoning, greater accuracy, and more reliable multi-step execution, it is particularly well suited for agentic coding, long-horizon software engineering, professional analysis, and complex automated workflows where solution quality takes priority over latency and cost.	Deepgram Aura-2 text-to-speech for real-time voice applications. Billed per input character.