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Start with Gemini 4 Argon and GPT-6 Astra, 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

Gemini 4 Argon vs GPT-6 Astra

Live dataset updated 10/13/2026, 6:04:47 PM UTC

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Factual comparison of Gemini 4 Argon and GPT-6 Astra
Field	Gemini 4 Argon Google	GPT-6 Astra OpenAI
ModelCap position	#33	#13
Index score	73.0	80.8
Evidence	Estimated1 reported rows against measured corpus ladders (72%); publisher-corpus-prior over 211 held-out anchors (28%); shrunk 3.7 toward the measured corpus	Measured5 public benchmark observations across 5 boards
Input / 1M	$2.00	$10.00
Output / 1M	$10.00	$50.00
Pricing status	fresh	fresh
Context	1M	1M
Providers	2	3
Weight access	No linked weights	No linked weights

Decision facts

Gemini 4 Argon is #33; GPT-6 Astra is #13 on the same current language board.
Index scores are 73.0 for Gemini 4 Argon and 80.8 for GPT-6 Astra. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Evidence differs: Gemini 4 Argon is Estimated; GPT-6 Astra is Measured.
Listed output price per 1M tokens is $10.00 for Gemini 4 Argon and $50.00 for GPT-6 Astra. 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 Gemini 4 Argon versus $45.00 for GPT-6 Astra. Gemini 4 Argon costs 80.0% 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 1,048,576 tokens for Gemini 4 Argon and 1,050,000 for GPT-6 Astra.
ModelCap currently lists 2 providers for Gemini 4 Argon and 3 for GPT-6 Astra.

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.