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Start with GPT-6 Sol and Grok 4.7, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.

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Current public data

GPT-6 Sol vs Grok 4.7

Live dataset updated 9/22/2026, 10:37:09 PM UTC

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Factual comparison of GPT-6 Sol and Grok 4.7
Field	GPT-6 Sol OpenAI	Grok 4.7 xAI
ModelCap position	#2	#4
Index score	89.3	88.2
Evidence	Measured1 public benchmark observation across 1 board	Measured1 public benchmark observation across 1 board
Input / 1M	$2.00	$1.60
Output / 1M	$10.00	$4.80
Pricing status	fresh	fresh
Context	1M	500K
Providers	2	1
Weight access	API only	API only

Decision facts

GPT-6 Sol is #2; Grok 4.7 is #4 on the same current language board.
Index scores are 89.3 for GPT-6 Sol and 88.2 for Grok 4.7. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Both positions use Measured evidence.
Listed output price per 1M tokens is $10.00 for GPT-6 Sol and $4.80 for Grok 4.7. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $9.00 for GPT-6 Sol versus $5.60 for Grok 4.7. Grok 4.7 costs 37.8% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Published context is 1,050,000 tokens for GPT-6 Sol and 500,000 for Grok 4.7.
ModelCap currently lists 2 providers for GPT-6 Sol and 1 for Grok 4.7.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.