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ModelCap

Model decision surface

Compare AI models

Start with LongCat 2.0 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

LongCat 2.0 vs GPT-6 Sol

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

Open 1200×630 evidence receipt
Factual comparison of LongCat 2.0 and GPT-6 Sol
Field
GPT-6 Sol

OpenAI

ModelCap position#16#2
Index score81.789.3
EvidenceEstimatedglobal-corpus-prior over 209 held-out anchors (6%); launch card against 4 resolved peers on 6 rows (94%); no cross-lab optimism probe available; shrunk 1.7 toward the measured corpusMeasured1 public benchmark observation across 1 board
Input / 1M$0.30$2.00
Output / 1M$1.20$10.00
Pricing statusfreshfresh
Context1M1M
Providers12
Weight accessOpen weightsAPI only

Decision facts

  • LongCat 2.0 is #16; GPT-6 Sol is #2 on the same current language board.
  • Index scores are 81.7 for LongCat 2.0 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.
  • Evidence differs: LongCat 2.0 is Estimated; GPT-6 Sol is Measured.
  • Listed output price per 1M tokens is $1.20 for LongCat 2.0 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 $1.20 for LongCat 2.0 versus $9.00 for GPT-6 Sol. LongCat 2.0 costs 86.7% 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 1,048,756 tokens for LongCat 2.0 and 1,050,000 for GPT-6 Sol.
  • Weight access differs: LongCat 2.0 is open; GPT-6 Sol is none.
  • ModelCap currently lists 1 providers for LongCat 2.0 and 2 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.