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ModelCap

Model decision surface

Compare AI models

Start with Gemini 3.1 Pro Preview 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.

Current public data

Gemini 3.1 Pro Preview vs GPT-6 Sol

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

Open 1200×630 evidence receipt
Factual comparison of Gemini 3.1 Pro Preview and GPT-6 Sol
Field
GPT-6 Sol

OpenAI

ModelCap position#17#2
Index score81.589.3
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$2.00$2.00
Output / 1M$12.00$10.00
Pricing statusfreshfresh
Context1M1M
Providers22
Weight accessAPI onlyAPI only

Decision facts

  • Gemini 3.1 Pro Preview is #17; GPT-6 Sol is #2 on the same current language board.
  • Index scores are 81.5 for Gemini 3.1 Pro Preview and 89.3 for GPT-6 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 $12.00 for Gemini 3.1 Pro Preview 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 $10.00 for Gemini 3.1 Pro Preview versus $9.00 for GPT-6 Sol. GPT-6 Sol costs 10.0% 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 3.1 Pro Preview 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.

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.