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ModelCap

Model decision surface

Compare AI models

Start with Gemini 3.1 Pro Preview and LongCat 2.0, 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 LongCat 2.0

Live dataset updated 9/9/2026, 8:08:43 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemini 3.1 Pro Preview and LongCat 2.0
Field
ModelCap position#12#10
Index score78.479.0
EvidenceMeasured4 public benchmark observations across 4 boardsEstimatedglobal-corpus-prior over 182 held-out anchors (7%); launch card against 4 resolved peers on 6 rows (93%); no cross-lab optimism probe available; shrunk 2 toward the measured corpus
Input / 1M$2.00$0.30
Output / 1M$12.00$1.20
Pricing statusfreshfresh
Context1M1M
Providers21
Weight accessAPI onlyOpen weights

Decision facts

  • Gemini 3.1 Pro Preview is #12; LongCat 2.0 is #10 on the same current language board.
  • Index scores are 78.4 for Gemini 3.1 Pro Preview and 79.0 for LongCat 2.0. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Gemini 3.1 Pro Preview is Measured; LongCat 2.0 is Estimated.
  • Listed output price per 1M tokens is $12.00 for Gemini 3.1 Pro Preview and $1.20 for LongCat 2.0. 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 $1.20 for LongCat 2.0. LongCat 2.0 costs 88.0% 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 1,048,756 for LongCat 2.0.
  • Weight access differs: Gemini 3.1 Pro Preview is none; LongCat 2.0 is open.
  • ModelCap currently lists 2 providers for Gemini 3.1 Pro Preview and 1 for LongCat 2.0.

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.