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Start with Gemma 4 31B and GPT-6.1 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

Gemma 4 31B vs GPT-6.1 Sol

Live dataset updated 10/2/2026, 11:14:31 PM UTC

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Factual comparison of Gemma 4 31B and GPT-6.1 Sol
Field	Gemma 4 31B Google	GPT-6.1 Sol OpenAI
ModelCap position	#28	#4
Index score	71.8	83.5
Evidence	Measured3 public benchmark observations across 3 boards	Measured4 public benchmark observations across 4 boards
Input / 1M	$0.09	$2.00
Output / 1M	$0.34	$10.00
Pricing status	fresh	fresh
Context	262K	1M
Providers	13	3
Weight access	Open weights	No linked weights

Decision facts

Gemma 4 31B is #28; GPT-6.1 Sol is #4 on the same current language board.
Index scores are 71.8 for Gemma 4 31B and 83.5 for GPT-6.1 Sol. 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 $0.34 for Gemma 4 31B and $10.00 for GPT-6.1 Sol. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.35 for Gemma 4 31B versus $9.00 for GPT-6.1 Sol. Gemma 4 31B costs 96.1% 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 262,144 tokens for Gemma 4 31B and 1,050,000 for GPT-6.1 Sol.
Weight access differs: Gemma 4 31B is open; GPT-6.1 Sol is none.
ModelCap currently lists 13 providers for Gemma 4 31B and 3 for GPT-6.1 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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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.