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Start with GPT-4o-mini and GPT-6 Sol, 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-4o-mini vs GPT-6 Sol

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

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Factual comparison of GPT-4o-mini and GPT-6 Sol
Field	GPT-4o-mini OpenAI	GPT-6 Sol OpenAI
ModelCap position	#139	#2
Index score	39.7	89.3
Evidence	Measuredpublisher-corpus-prior over 209 held-out anchors (59%); 1 specialist-board observation at 2.1% support (41%); shrunk 25.3 up toward the measured corpus	Measured1 public benchmark observation across 1 board
Input / 1M	$0.15	$2.00
Output / 1M	$0.60	$10.00
Pricing status	fresh	fresh
Context	128K	1M
Providers	2	2
Weight access	API only	API only

Decision facts

GPT-4o-mini is #139; GPT-6 Sol is #2 on the same current language board.
Index scores are 39.7 for GPT-4o-mini and 89.3 for GPT-6 Sol. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
Both positions use Measured evidence.
Listed output price per 1M tokens is $0.60 for GPT-4o-mini and $10.00 for GPT-6 Sol. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.60 for GPT-4o-mini versus $9.00 for GPT-6 Sol. GPT-4o-mini costs 93.3% 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 128,000 tokens for GPT-4o-mini and 1,050,000 for GPT-6 Sol.

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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