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ModelCap

Model decision surface

Compare AI models

Start with AReaL SEA 235B A22B and Ling 3.0 tiny, 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

AReaL SEA 235B A22B vs Ling 3.0 tiny

Live dataset updated 9/9/2026, 9:50:24 PM UTC

Open 1200×630 evidence receipt
Factual comparison of AReaL SEA 235B A22B and Ling 3.0 tiny
Field
Ling 3.0 tiny

InclusionAI

ModelCap position#79#95
Index score49.442.6
EvidenceInheritedfinetune of qwen/qwen3-235b-a22b-thinking-2507 · finetune (100%)Measured1 public benchmark observation across 1 board
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • AReaL SEA 235B A22B is #79; Ling 3.0 tiny is #95 on the same current language board.
  • Index scores are 49.4 for AReaL SEA 235B A22B and 42.6 for Ling 3.0 tiny. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: AReaL SEA 235B A22B is Inherited; Ling 3.0 tiny is Measured.

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.