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Model decision surface

Compare AI models

Start with AReaL SEA 235B A22B and Step 3.7 Flash, 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 Step 3.7 Flash

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of AReaL SEA 235B A22B and Step 3.7 Flash
Field
ModelCap position#79#81
Index score48.248.2
EvidenceInheritedfinetune of qwen/qwen3-235b-a22b-thinking-2507 · finetune (100%)Estimated3 reported rows against measured corpus ladders (14%); global-corpus-prior over 182 held-out anchors (19%); measured predecessor stepfun/step-3.5-flash less the succession penalty (67%); shrunk 1.3 up toward the measured corpus
Input / 1MUnavailable$0.20
Output / 1MUnavailable$1.15
Pricing statusunavailablefresh
Context262K
Providers03
Weight accessOpen weightsOpen weights

Decision facts

  • AReaL SEA 235B A22B is #79; Step 3.7 Flash is #81 on the same current language board.
  • Index scores are 48.2 for AReaL SEA 235B A22B and 48.2 for Step 3.7 Flash. 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; Step 3.7 Flash is Estimated.
  • ModelCap currently lists 0 providers for AReaL SEA 235B A22B and 3 for Step 3.7 Flash.

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.